CN116722549B - Hierarchical control method and device for power distribution network based on high-precision simulation technology - Google Patents

Abstract

The present invention relates to the technical field of distribution network operation and maintenance control. Specifically, it provides a distribution network hierarchical control method and device based on high-precision simulation technology. Based on high-precision simulation technology, the regional distribution network is simulated. The regional distribution network is optimized and controlled with the goals of balance, equipment safety, energy saving and loss reduction. Through global optimization and hierarchical coordination of local autonomy, it can significantly improve the efficient and flexible regulation within the spatial scale of the system under the access of massive controllable resources. Fully explore the potential of each element to participate in regulation and improve the safe operation level of the system.

Description

A hierarchical control method and device for distribution network based on high-precision simulation technology

Technical field

The invention relates to the technical field of distribution network operation and maintenance control, and in particular to a distribution network hierarchical control method and device based on high-precision simulation technology.

Background technique

With the rapid development of the power system, distributed power sources are slowly replacing traditional energy sources. The distributed power sources are widely dispersed and have different output characteristics. The traditional centralized control mode is difficult to achieve precise control of each distributed power source, which seriously limits the high pros and cons. Operation and management level of clean energy regional distribution network.

At present, research on the safe operation control technology of regional distribution networks containing a high proportion of clean energy has been carried out at home and abroad. However, the safety domain of the distribution network has not yet been considered in the study of multi-level coordination optimization and hierarchical zoning of distribution networks. It is not comprehensive, and the formulation of multi-level coordination and optimization strategies has not yet fully utilized the complementary and mutually reinforcing capabilities of cross-region and cross-layers; in addition, the current situation awareness technology for the operating status and regulation capabilities of the distribution network that considers the uncertainty of source load strength has not yet been elaborated. , and cannot achieve effective integration with distribution network source-grid-load-storage operation control; moreover, the current research on the limit of clean energy carrying capacity of distribution network for safe operation control is still in its infancy, and it has not been possible to achieve both power supply and Coordinated control of capacity and safety margin; simulation technology that supports visual dynamic modeling and safe operation control of high-proportion clean energy regional distribution networks also needs to be studied. Therefore, how to improve the safety, reliability and flexibility of regional distribution network operation control still requires further research.

Contents of the invention

In order to overcome the above defects, the present invention proposes a distribution network hierarchical control method and device based on high-precision simulation technology.

In the first aspect, a distribution network hierarchical control method based on high-precision simulation technology is provided. The hierarchical control method of distribution network based on high-precision simulation technology includes:

Step S101 performs source-load power prediction on the regional distribution network;

Step S102 uses the source-load power prediction result as the initial condition to simulate the regional distribution network to obtain a simulation system corresponding to the regional distribution network;

Step S103 selects a reconstruction strategy from the preset reconstruction strategy set with source-load balance as the goal. If the selection is successful, the reconstruction strategy is used to network the medium-voltage feeders in the simulation system corresponding to the regional distribution network. After reconstruction, execute step S105, otherwise, execute step S104;

Step S104 adjusts the active power of the distributed power sources in the simulation system corresponding to the regional distribution network with the goal of equipment safety, and disconnects the leaf-end adaptation section of the power grid equipment with a load rate greater than 1 before executing step S105;

Step S105 adjusts the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction;

Step S106 optimizes the transformer ratio in the simulation system corresponding to the regional distribution network;

Step S107 performs distribution network equipment level self-verification on the simulation system corresponding to the regional distribution network. If it passes the distribution network equipment level self-verification, output each basic distribution network in the simulation system corresponding to the regional distribution network. The hierarchical control scheme of the network computing unit, otherwise, abnormal device information will be output;

Wherein, the hierarchical control scheme includes at least one of the following: reconstruction strategy, active power of distributed power sources, reactive power of distributed power sources, reactive power of compensation devices, and transformer ratio.

Preferably, when the regional distribution network is a high-voltage distribution network, each network connection unit in the simulation system corresponding to the regional distribution network is encapsulated into a module. When the regional distribution network is a low-voltage distribution network, When connecting the network, each feeder in the simulation system corresponding to the regional distribution network is encapsulated into a module, and the module is used as the basic distribution network calculation unit.

Furthermore, in the process of simulating the regional distribution network with the source load power prediction results as the initial condition, for each source load prediction time section, the main network node voltage of the basic distribution network calculation unit is set to 1.0pu.

Further, the selection of a reconstruction strategy from a preset reconstruction strategy set with source-load balance as the goal includes:

Each reconstruction strategy in the preset reconstruction strategy set is used to perform network reconstruction on the medium voltage feeder in the simulation system corresponding to the regional distribution network. If the network reconstruction strategy in the simulation system corresponding to the regional distribution network is If the device capacity does not exceed the limit, the reconstruction strategy will be used as an alternative reconstruction strategy, otherwise, the reconstruction strategy will be eliminated;

The alternative reconstruction strategy corresponding to the minimum first objective function value of the simulation system corresponding to the regional distribution network after network reconstruction is used as the selected reconstruction strategy.

Further, the calculation formula of the first objective function value of the simulation system corresponding to the regional distribution network is as follows:

F ₁ =∑ _i∈S ∣P _ig -P _if ∣

In the above formula, F ₁ is the first objective function value of the simulation system corresponding to the regional distribution network, S is the feeder set in the simulation system corresponding to the regional distribution network, and _Pig is the regional distribution network The sum of active power of all distributed power supplies on the i-th feeder in the corresponding simulation system, P _{if is} the sum of active power of all loads on the i-th feeder in the simulation system corresponding to the regional distribution network.

Further, the adjustment of the active power of distributed power supplies in the simulation system corresponding to the regional distribution network with the goal of equipment safety includes:

Suppose the active power of distributed power sources in the simulation system corresponding to the regional distribution network is the control variable;

Adjust the control variables to obtain the control variables that minimize the second target value of the simulation system corresponding to the regional distribution network and satisfy the first preset constraint conditions, and adjust the control variables corresponding to the regional distribution network based on the control variables. Active power of distributed power sources in the simulation system;

Wherein, the first preset constraint conditions include: Kirchhoff current constraint and Kirchhoff voltage constraint.

Further, the calculation formula of the second target value of the simulation system corresponding to the regional distribution network is as follows:

F ₂ =∑ _j∈N c _j k _j

In the above formula, F ₂ is the second target value of the simulation system corresponding to the regional distribution network, N is the set of power grid equipment in the simulation system corresponding to the regional distribution network, and c _j is the corresponding set of power grid equipment in the simulation system corresponding to the regional distribution network. The penalty constant of the jth power grid equipment in the simulation system, k _j is the load coefficient of the jth power grid equipment in the simulation system corresponding to the regional distribution network, when the jth power grid equipment in the simulation system corresponding to the regional distribution network When the load factor of a grid device is greater than 1, k _j =1. When the load factor of the jth power grid device in the simulation system corresponding to the regional distribution network is less than or equal to 1, k _j =0.

Further, the adjustment of the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction includes:

Suppose the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network are control variables;

Adjust the control variable to obtain a control variable that minimizes the third target value of the simulation system corresponding to the regional distribution network and satisfies the second preset constraint condition, and adjust the control variable corresponding to the regional distribution network based on the control variable. The reactive power of distributed power sources and the reactive power of compensation devices in the simulation system.

Further, the calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:

In the above formula, F ₃ is the third target value of the simulation system corresponding to the regional distribution network, N is the set of power grid equipment in the simulation system corresponding to the regional distribution network, and V _j is the corresponding set of power grid equipment in the simulation system corresponding to the regional distribution network. The voltage matrix of the jth grid equipment in the simulation system, Y _j is the admittance matrix of the jth grid equipment in the simulation system corresponding to the regional distribution network, T is the transpose symbol, is the conjugate symbol.

Further, the second preset constraints include: Kirchhoff current constraints, Kirchhoff voltage constraints, equipment capacity constraints, reactive power compensation device output constraints, and distributed power supply reactive power constraints.

Further, the mathematical model of the reactive power constraint of the distributed power supply is as follows:

q _g ≤p _g tanθ

In the above formula, q _g is the reactive power of the distributed power supply, p _g is the active power of the distributed power supply, and θ is the power angle corresponding to the minimum power factor of the distributed power supply.

Further, optimizing the transformer ratio in the simulation system corresponding to the regional distribution network includes:

Determine the transformer ratio correction value based on the number of nodes and the average node voltage amplitude of each feeder in the simulation system corresponding to the regional distribution network;

When the absolute difference between the actual transformation ratio of the transformer in the simulation system corresponding to the regional distribution network and the correction value of the transformer transformation ratio is within the preset range, the actual transformation ratio of the transformer is adjusted to the transformer transformation ratio Correction value.

Further, the calculation formula of the transformer ratio correction value is as follows:

U _avg =(∑ _i∈S N _i U _i )/(∑ _i∈S N _i )

In the above formula, U _avg is the transformer ratio correction value, _Ni is the number of nodes on the i-th feeder in the simulation system corresponding to the regional distribution network, and U _i is the simulation corresponding to the regional distribution network. The average node voltage amplitude of the i-th feeder in the system, S is the set of feeders in the simulation system corresponding to the regional distribution network.

Preferably, the distribution network equipment level self-checking of the simulation system corresponding to the regional distribution network includes:

The Newton-Raphson power flow algorithm is used to perform power flow calculation on the simulation system corresponding to the regional distribution network. If the simulation system corresponding to the regional distribution network satisfies the power flow constraints, it will pass the distribution network equipment level self-verification. Otherwise, it will not Pass distribution network equipment level self-verification.

In a second aspect, a distribution network layered control device based on high-precision simulation technology is provided. The distribution network layered control device based on high-precision simulation technology includes:

Prediction module, used to predict source-load power of regional distribution network;

The simulation module is used to simulate the regional distribution network using the source load power prediction results as the initial conditions to obtain the simulation system corresponding to the regional distribution network;

The network reconstruction module is used to select a reconstruction strategy from a preset reconstruction strategy set with source-load balance as the goal. If the selection is successful, use the reconstruction strategy to reconstruct the simulation system corresponding to the regional distribution network. The second control module is executed after network reconstruction of the medium voltage feeder, otherwise, the first control module is executed;

The first control module is used to adjust the active power of the distributed power supplies in the simulation system corresponding to the regional distribution network with the goal of equipment safety, and execute after disconnecting the leaf-end adaptation section of the power grid equipment with a load rate greater than 1. second control module;

The second control module is used to adjust the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction, and then execute the third control module;

The third control module is used to optimize the transformer ratio in the simulation system corresponding to the regional distribution network;

The verification module is used to perform distribution network equipment level self-verification on the simulation system corresponding to the regional distribution network. If the distribution network equipment level self-verification is passed, the simulation system corresponding to the regional distribution network is output. hierarchical control scheme for each basic distribution network calculation unit, otherwise, abnormal device information will be output;

Wherein, the hierarchical control scheme includes at least one of the following: reconstruction strategy, active power of distributed power sources, reactive power of distributed power sources, reactive power of compensation devices, and transformer ratio.

In a third aspect, a computer device is provided, including: one or more processors;

The processor is used to store one or more programs;

When the one or more programs are executed by the one or more processors, the hierarchical control method of the distribution network based on high-precision simulation technology is implemented.

In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the hierarchical control method of the distribution network based on high-precision simulation technology is implemented.

One or more of the above technical solutions of the present invention have at least one or more of the following beneficial effects:

The present invention provides a hierarchical control method for distribution network based on high-precision simulation technology. The method includes: Step S101 predicting the source load power of the regional distribution network; Step S102 using the source load power prediction result as the initial condition. The regional distribution network is simulated to obtain the simulation system corresponding to the regional distribution network; step S103 selects a reconstruction strategy from the preset reconstruction strategy set with source-load balance as the goal. If the selection is successful, the reconstruction strategy is used to After the medium-voltage feeder in the simulation system corresponding to the regional distribution network is reconstructed, step S105 is executed. Otherwise, step S104 is executed; step S104 adjusts the distribution in the simulation system corresponding to the regional distribution network with the goal of equipment safety. Step S105 is performed after disconnecting the leaf-end adaptation section of the power grid equipment with a load rate greater than 1; Step S105 adjusts the distributed distribution in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction. The reactive power of the power supply and the reactive power of the compensation device; step S106 optimizes the transformer ratio in the simulation system corresponding to the regional distribution network; step S107 performs distribution network equipment on the simulation system corresponding to the regional distribution network. Level self-checking, if the distribution network equipment level self-checking is passed, the hierarchical control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network is output, otherwise, abnormal equipment information is output; where, The hierarchical control scheme includes at least one of the following: reconfiguration strategy, active power of distributed power sources, reactive power of distributed power sources, reactive power of compensation devices, and transformer ratio. The technical solution provided by the present invention significantly improves the efficient and flexible regulation within the spatial scale of the system under the access of massive controllable resources through the hierarchical coordination of global optimization and local autonomy; through the multi-element automation of source-grid-load-storage Optimize operation technology, fully explore the potential of each element to participate in regulation, and improve the safe operation level of the system. Key technologies, equipment, strategies and typical scenario testing and verification that can be applied to distribution network demonstration projects with high proportion of clean energy access and other major demonstration pilot projects can be promoted and applied in various units in various places to achieve "source-grid-load" -Storage" coordinates and operates comprehensive analysis, simulation testing and verification.

Description of drawings

Figure 1 is a schematic flowchart of the main steps of a distribution network hierarchical control method based on high-precision simulation technology according to an embodiment of the present invention;

Figure 2 is a main structural block diagram of a distribution network hierarchical control device based on high-precision simulation technology according to an embodiment of the present invention.

Detailed ways

The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

As disclosed in the background art, with the rapid development of power systems, distributed power sources are slowly replacing traditional energy sources. The distributed power sources are widely dispersed and have different output characteristics. It is difficult for the traditional centralized control mode to realize the control of each distributed power source. Precise control severely limits the operation and management level of clean energy regional distribution networks with high pros and cons.

At present, research on the safe operation control technology of regional distribution networks containing a high proportion of clean energy has been carried out at home and abroad. However, the safety domain of the distribution network has not yet been considered in the study of multi-level coordination optimization and hierarchical zoning of distribution networks. It is not comprehensive, and the formulation of multi-level coordination and optimization strategies has not yet fully utilized the complementary and mutually reinforcing capabilities of cross-region and cross-layers; in addition, the current situation awareness technology for the operating status and regulation capabilities of the distribution network that considers the uncertainty of source load strength has not yet been elaborated. , and cannot achieve effective integration with distribution network source-grid-load-storage operation control; moreover, the current research on the limit of clean energy carrying capacity of distribution network for safe operation control is still in its infancy, and it has not been possible to achieve both power supply and Coordinated control of capacity and safety margin; simulation technology that supports visual dynamic modeling and safe operation control of high-proportion clean energy regional distribution networks also needs to be studied. Therefore, how to improve the safety, reliability and flexibility of regional distribution network operation control still requires further research.

In order to improve the above problems, the present invention provides a distribution network hierarchical control method based on high-precision simulation technology. The method includes: step S101 to predict the source-load power of the regional distribution network; step S102 to predict the source-load power. The result is that the initial conditions are used to simulate the regional distribution network, and the simulation system corresponding to the regional distribution network is obtained; step S103 selects a reconstruction strategy from the preset reconstruction strategy set with source-load balance as the goal. If the selection is successful, the Step S105 is executed after the network reconstruction strategy is performed on the medium-voltage feeders in the simulation system corresponding to the regional distribution network. Otherwise, step S104 is executed; step S104 adjusts the corresponding network of the regional distribution network with the goal of equipment safety. The active power of the distributed power supply in the simulation system, and disconnect the leaf-end adaptation section of the power grid equipment with a load rate greater than 1 and then perform step S105; step S105 adjusts the corresponding regional distribution network with the goal of energy saving and loss reduction. The reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system; Step S106 optimizes the transformer ratio in the simulation system corresponding to the regional distribution network; Step S107 optimizes the simulation system corresponding to the regional distribution network Perform distribution network equipment level self-verification. If the distribution network equipment level self-verification is passed, the hierarchical control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network will be output. Otherwise, the output will be abnormal. Equipment information; wherein, the hierarchical control scheme includes at least one of the following: reconstruction strategy, active power of distributed power sources, reactive power of distributed power sources, reactive power of compensation devices, and transformer ratio. The technical solution provided by the present invention significantly improves the efficient and flexible regulation within the spatial scale of the system under the access of massive controllable resources through the hierarchical coordination of global optimization and local autonomy; through the multi-element automation of source-grid-load-storage Optimize operation technology, fully explore the potential of each element to participate in regulation, and improve the safe operation level of the system. Key technologies, equipment, strategies and typical scenario testing and verification that can be applied to distribution network demonstration projects with high proportion of clean energy access and other major demonstration pilot projects can be promoted and applied in various units in various places to achieve "source-grid-load" -Storage" coordinates and operates comprehensive analysis, simulation testing and verification.

The above scheme is elaborated below.

Example 1

Refer to Figure 1, which is a schematic flowchart of the main steps of a distribution network hierarchical control method based on high-precision simulation technology according to one embodiment of the present invention. As shown in Figure 1, the distribution network hierarchical control method based on high-precision simulation technology in the embodiment of the present invention mainly includes the following steps:

Step S101 performs source-load power prediction on the regional distribution network;

Step S102 uses the source-load power prediction result as the initial condition to simulate the regional distribution network to obtain a simulation system corresponding to the regional distribution network;

Step S103 selects a reconstruction strategy from the preset reconstruction strategy set with source-load balance as the goal. If the selection is successful, the reconstruction strategy is used to network the medium-voltage feeders in the simulation system corresponding to the regional distribution network. After reconstruction, execute step S105, otherwise, execute step S104;

Step S104 adjusts the active power of the distributed power sources in the simulation system corresponding to the regional distribution network with the goal of equipment safety, and disconnects the leaf-end adaptation section of the power grid equipment with a load rate greater than 1 before executing step S105;

Step S105 adjusts the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction;

Step S106 optimizes the transformer ratio in the simulation system corresponding to the regional distribution network;

Step S107 performs distribution network equipment level self-verification on the simulation system corresponding to the regional distribution network. If it passes the distribution network equipment level self-verification, output each basic distribution network in the simulation system corresponding to the regional distribution network. The hierarchical control scheme of the network computing unit, otherwise, abnormal device information will be output;

Wherein, the hierarchical control scheme includes at least one of the following: reconstruction strategy, active power of distributed power sources, reactive power of distributed power sources, reactive power of compensation devices, and transformer ratio.

In this embodiment, when the regional distribution network is a high-voltage distribution network, each network connection unit in the simulation system corresponding to the regional distribution network is encapsulated into a module. When the regional distribution network is a low-voltage distribution network, When building a distribution network, each feeder in the simulation system corresponding to the regional distribution network is encapsulated into a module, and the module is used as the basic distribution network calculation unit.

Among them, in the process of simulating the regional distribution network with the source load power prediction result as the initial condition, for each source load prediction time section, the main network node voltage of the basic distribution network calculation unit is set to 1.0pu.

In a specific implementation, step S101 can be implemented in the following manner:

Extract historical meteorological data and holiday data. Meteorological data needs to include data such as temperature, wind, humidity, etc., and holiday data needs to include data such as holiday dates, special events, etc.; establish a data vector and normalize each dimension of data.

A prediction model is established based on meteorological data, holiday data and distributed power supply data, and the pattern recognition method is used for prediction.

In a specific implementation, the step S102 can be implemented in the following manner:

With the transformer as the starting point and the bus incoming line and outgoing line switch as the boundary, the search is carried out, and the relevant equipment is modularized into stations. For the three elements of transformer, bus bar and switch, the classic substation primary diagram layout is used for automatic drawing.

According to the voltage level, the distribution network instance is initially decomposed with the station as the boundary.

For high-voltage distribution networks, topology analysis is performed based on connectivity, and each network connection unit is encapsulated into a module; D3.js force-directed graph is used to realize automatic topology mapping.

For medium and low-voltage distribution networks, topology analysis is performed based on the feeder to which it belongs. Each feeder is packaged as a module; D3.js force-directed diagram is used to realize automatic topology mapping.

The topology is automatically mapped, and the modules built in the above process are the basic distribution network calculation units.

In one embodiment, selecting a reconstruction strategy from a preset reconstruction strategy set with source-load balance as the goal includes:

Each reconstruction strategy in the preset reconstruction strategy set is used to perform network reconstruction on the medium voltage feeder in the simulation system corresponding to the regional distribution network. If the network reconstruction strategy in the simulation system corresponding to the regional distribution network is If the device capacity does not exceed the limit, the reconstruction strategy will be used as an alternative reconstruction strategy, otherwise, the reconstruction strategy will be eliminated;

The alternative reconstruction strategy corresponding to the minimum first objective function value of the simulation system corresponding to the regional distribution network after network reconstruction is used as the selected reconstruction strategy.

Wherein, the calculation formula of the first objective function value of the simulation system corresponding to the regional distribution network is as follows:

F ₁ =∑ _i∈S ∣P _ig -P _if ∣

In the above formula, F ₁ is the first objective function value of the simulation system corresponding to the regional distribution network, S is the feeder set in the simulation system corresponding to the regional distribution network, and _Pig is the regional distribution network The sum of active power of all distributed power supplies on the i-th feeder in the corresponding simulation system, P _{if is} the sum of active power of all loads on the i-th feeder in the simulation system corresponding to the regional distribution network.

In one embodiment, adjusting the active power of distributed power supplies in the simulation system corresponding to the regional distribution network with the goal of equipment safety includes:

Suppose the active power of distributed power sources in the simulation system corresponding to the regional distribution network is the control variable;

Adjust the control variables to obtain the control variables that minimize the second target value of the simulation system corresponding to the regional distribution network and satisfy the first preset constraint conditions, and adjust the control variables corresponding to the regional distribution network based on the control variables. Active power of distributed power sources in the simulation system;

Wherein, the first preset constraint conditions include: Kirchhoff current constraint and Kirchhoff voltage constraint.

The calculation formula of the second target value of the simulation system corresponding to the regional distribution network is as follows:

F ₂ =∑ _j∈N c _j k _j

In the above formula, F ₂ is the second target value of the simulation system corresponding to the regional distribution network, N is the set of power grid equipment in the simulation system corresponding to the regional distribution network, and c _j is the corresponding set of power grid equipment in the simulation system corresponding to the regional distribution network. The penalty constant of the j-th power grid equipment in the simulation system, the default value is 1000000, k _j is the load coefficient of the j-th power grid equipment in the simulation system corresponding to the regional distribution network, when the corresponding When the load factor of the j-th power grid device in the simulation system is greater than 1, k _j =1, and when the load factor of the j-th power grid device in the simulation system corresponding to the regional distribution network is less than or equal to 1, k _j =0.

In one embodiment, adjusting the reactive power of distributed power supplies and the reactive power of compensation devices in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction includes:

Suppose the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network are control variables;

Adjust the control variable to obtain a control variable that minimizes the third target value of the simulation system corresponding to the regional distribution network and satisfies the second preset constraint condition, and adjust the control variable corresponding to the regional distribution network based on the control variable. The reactive power of distributed power sources and the reactive power of compensation devices in the simulation system.

Wherein, the calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:

In the above formula, F ₃ is the third target value of the simulation system corresponding to the regional distribution network, N is the set of power grid equipment in the simulation system corresponding to the regional distribution network, and V _j is the corresponding set of power grid equipment in the simulation system corresponding to the regional distribution network. The voltage matrix of the jth grid equipment in the simulation system, Y _j is the admittance matrix of the jth grid equipment in the simulation system corresponding to the regional distribution network, T is the transpose symbol, is the conjugate symbol.

The second preset constraints include: Kirchhoff current constraints, Kirchhoff voltage constraints, equipment capacity constraints, reactive power compensation device output constraints, and distributed power reactive power constraints.

Among them, the mathematical model of the reactive power constraint of the distributed power supply is as follows:

q _g ≤p _g tanθ

In the above formula, q _g is the reactive power of the distributed power supply, p _g is the active power of the distributed power supply, and θ is the power angle corresponding to the minimum power factor of the distributed power supply.

In one embodiment, optimizing the transformer ratio in the simulation system corresponding to the regional distribution network includes:

Determine the transformer ratio correction value based on the number of nodes and the average node voltage amplitude of each feeder in the simulation system corresponding to the regional distribution network;

When the absolute difference between the actual transformation ratio of the transformer in the simulation system corresponding to the regional distribution network and the correction value of the transformer transformation ratio is within the preset range, the actual transformation ratio of the transformer is adjusted to the transformer transformation ratio Correction value.

Among them, the calculation formula of the transformer ratio correction value is as follows:

U _avg =(∑ _i∈S N _i U _i )/(∑ _i∈S N _i )

In the above formula, U _avg is the transformer ratio correction value, _Ni is the number of nodes on the i-th feeder in the simulation system corresponding to the regional distribution network, and U _i is the simulation corresponding to the regional distribution network. The average node voltage amplitude of the i-th feeder in the system, S is the set of feeders in the simulation system corresponding to the regional distribution network.

In this embodiment, the distribution network equipment level self-verification of the simulation system corresponding to the regional distribution network includes:

The Newton-Raphson power flow algorithm is used to perform power flow calculation on the simulation system corresponding to the regional distribution network. If the simulation system corresponding to the regional distribution network satisfies the power flow constraints, it will pass the distribution network equipment level self-verification. Otherwise, it will not Pass distribution network equipment level self-verification.

In a specific implementation, step S107 can be implemented in the following manner:

1) For the entire distribution network instance, calculate directly through the Newton-Raphson power flow algorithm; if convergence does not occur, go to step 7-2), otherwise go to step 3).

2) Sort the basic distribution network calculation units according to voltage from low to high, and initialize the basic distribution network calculation unit balance node voltage to 1.0pu. The Newton-Raphson power flow algorithm is used in sequence to calculate the basic distribution network calculation units. The leaf-end units transfer active power and reactive power to the source-end connection units. After completing a traversal, the Newton-Raphson power flow algorithm is used in reverse order to calculate. The source-end units transfer to The leaf end connection unit transmits the voltage amplitude; repeat the above process of forward and back substitution until the calculation converges.

3) For single-node connection equipment such as distributed power supplies, loads, and energy storage, obtain the node voltage amplitude of the connection point in the power flow calculation to determine whether it can support the normal operation of the corresponding distributed power supplies, loads, and energy storage.

4) For switches, transformers, lines, switches and other equipment, obtain their current or power in power flow calculations to determine whether there is an overload phenomenon.

5) If there is no abnormal equipment, integrate the output coordination control strategy; otherwise, output abnormal equipment information and carry out risk warning.

Example 2

Based on the same inventive concept, the present invention also provides a distribution network hierarchical control device based on high-precision simulation technology. As shown in Figure 2, the distribution network hierarchical control device based on high-precision simulation technology includes:

Prediction module, used to predict source-load power of regional distribution network;

The simulation module is used to simulate the regional distribution network using the source load power prediction results as the initial conditions to obtain the simulation system corresponding to the regional distribution network;

The network reconstruction module is used to select a reconstruction strategy from a preset reconstruction strategy set with source-load balance as the goal. If the selection is successful, use the reconstruction strategy to reconstruct the simulation system corresponding to the regional distribution network. The second control module is executed after network reconstruction of the medium voltage feeder, otherwise, the first control module is executed;

The first control module is used to adjust the active power of the distributed power supplies in the simulation system corresponding to the regional distribution network with the goal of equipment safety, and execute after disconnecting the leaf-end adaptation section of the power grid equipment with a load rate greater than 1. second control module;

The second control module is used to adjust the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction, and then execute the third control module;

The third control module is used to optimize the transformer ratio in the simulation system corresponding to the regional distribution network;

The verification module is used to perform distribution network equipment level self-verification on the simulation system corresponding to the regional distribution network. If the distribution network equipment level self-verification is passed, the simulation system corresponding to the regional distribution network is output. hierarchical control scheme for each basic distribution network calculation unit, otherwise, abnormal device information will be output;

Wherein, the hierarchical control scheme includes at least one of the following: reconstruction strategy, active power of distributed power sources, reactive power of distributed power sources, reactive power of compensation devices, and transformer ratio.

Preferably, when the regional distribution network is a high-voltage distribution network, each network connection unit in the simulation system corresponding to the regional distribution network is encapsulated into a module. When the regional distribution network is a low-voltage distribution network, When connecting the network, each feeder in the simulation system corresponding to the regional distribution network is encapsulated into a module, and the module is used as the basic distribution network calculation unit.

Furthermore, in the process of simulating the regional distribution network with the source load power prediction results as the initial condition, for each source load prediction time section, the main network node voltage of the basic distribution network calculation unit is set to 1.0pu.

Further, the selection of a reconstruction strategy from a preset reconstruction strategy set with source-load balance as the goal includes:

Each reconstruction strategy in the preset reconstruction strategy set is used to perform network reconstruction on the medium voltage feeder in the simulation system corresponding to the regional distribution network. If the network reconstruction strategy in the simulation system corresponding to the regional distribution network is If the device capacity does not exceed the limit, the reconstruction strategy will be used as an alternative reconstruction strategy, otherwise, the reconstruction strategy will be eliminated;

The alternative reconstruction strategy corresponding to the minimum first objective function value of the simulation system corresponding to the regional distribution network after network reconstruction is used as the selected reconstruction strategy.

Further, the calculation formula of the first objective function value of the simulation system corresponding to the regional distribution network is as follows:

F ₁ =∑ _i∈S ∣P _ig -P _if ∣

In the above formula, F ₁ is the first objective function value of the simulation system corresponding to the regional distribution network, S is the feeder set in the simulation system corresponding to the regional distribution network, and _Pig is the regional distribution network The sum of active power of all distributed power supplies on the i-th feeder in the corresponding simulation system, P _{if is} the sum of active power of all loads on the i-th feeder in the simulation system corresponding to the regional distribution network.

Further, the adjustment of the active power of distributed power supplies in the simulation system corresponding to the regional distribution network with the goal of equipment safety includes:

Suppose the active power of distributed power sources in the simulation system corresponding to the regional distribution network is the control variable;

Adjust the control variables to obtain the control variables that minimize the second target value of the simulation system corresponding to the regional distribution network and satisfy the first preset constraint conditions, and adjust the control variables corresponding to the regional distribution network based on the control variables. Active power of distributed power sources in the simulation system;

Wherein, the first preset constraint conditions include: Kirchhoff current constraint and Kirchhoff voltage constraint.

Further, the calculation formula of the second target value of the simulation system corresponding to the regional distribution network is as follows:

F ₂ =∑ _j∈N c _j k _j

In the above formula, F ₂ is the second target value of the simulation system corresponding to the regional distribution network, N is the set of power grid equipment in the simulation system corresponding to the regional distribution network, and c _j is the corresponding set of power grid equipment in the simulation system corresponding to the regional distribution network. The penalty constant of the jth power grid equipment in the simulation system, k _j is the load coefficient of the jth power grid equipment in the simulation system corresponding to the regional distribution network, when the jth power grid equipment in the simulation system corresponding to the regional distribution network When the load factor of a grid device is greater than 1, k _j =1. When the load factor of the jth power grid device in the simulation system corresponding to the regional distribution network is less than or equal to 1, k _j =0.

Further, the adjustment of the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network with the goal of energy saving and loss reduction includes:

Suppose the reactive power of the distributed power sources and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network are control variables;

Adjust the control variable to obtain a control variable that minimizes the third target value of the simulation system corresponding to the regional distribution network and satisfies the second preset constraint condition, and adjust the control variable corresponding to the regional distribution network based on the control variable. The reactive power of distributed power sources and the reactive power of compensation devices in the simulation system.

Further, the calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:

In the above formula, F ₃ is the third target value of the simulation system corresponding to the regional distribution network, N is the set of power grid equipment in the simulation system corresponding to the regional distribution network, and V _j is the corresponding set of power grid equipment in the simulation system corresponding to the regional distribution network. The voltage matrix of the jth grid equipment in the simulation system, Y _j is the admittance matrix of the jth grid equipment in the simulation system corresponding to the regional distribution network, T is the transpose symbol, is the conjugate symbol.

Further, the second preset constraints include: Kirchhoff current constraints, Kirchhoff voltage constraints, equipment capacity constraints, reactive power compensation device output constraints, and distributed power supply reactive power constraints.

Further, the mathematical model of the reactive power constraint of the distributed power supply is as follows:

q _g ≤p _g tanθ

In the above formula, q _g is the reactive power of the distributed power supply, p _g is the active power of the distributed power supply, and θ is the power angle corresponding to the minimum power factor of the distributed power supply.

Further, optimizing the transformer ratio in the simulation system corresponding to the regional distribution network includes:

Determine the transformer ratio correction value based on the number of nodes and the average node voltage amplitude of each feeder in the simulation system corresponding to the regional distribution network;

When the absolute difference between the actual transformation ratio of the transformer in the simulation system corresponding to the regional distribution network and the correction value of the transformer transformation ratio is within the preset range, the actual transformation ratio of the transformer is adjusted to the transformer transformation ratio Correction value.

Further, the calculation formula of the transformer ratio correction value is as follows:

U _avg =(∑ _i∈S N _i U _i )/(∑ _i∈S N _i )

In the above formula, U _avg is the transformer ratio correction value, _Ni is the number of nodes on the i-th feeder in the simulation system corresponding to the regional distribution network, and U _i is the simulation corresponding to the regional distribution network. The average node voltage amplitude of the i-th feeder in the system, S is the set of feeders in the simulation system corresponding to the regional distribution network.

Preferably, the distribution network equipment level self-checking of the simulation system corresponding to the regional distribution network includes:

The Newton-Raphson power flow algorithm is used to perform power flow calculation on the simulation system corresponding to the regional distribution network. If the simulation system corresponding to the regional distribution network satisfies the power flow constraints, it will pass the distribution network equipment level self-verification. Otherwise, it will not Pass distribution network equipment level self-verification.

Example 3

Based on the same inventive concept, the present invention also provides a computer device. The computer device includes a processor and a memory. The memory is used to store a computer program. The computer program includes program instructions. The processor is used to execute the Program instructions stored on computer storage media. The processor may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array ( Field-Programmable GateArray (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal. It is suitable for implementing one or more instructions, specifically suitable for loading. And execute one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions to implement the steps of a distribution network hierarchical control method based on high-precision simulation technology in the above embodiment.

Example 4

Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here may include a built-in storage medium in the computer device, and of course may also include an extended storage medium supported by the computer device. The computer-readable storage medium provides storage space, and the storage space stores the operating system of the terminal. Furthermore, the storage space also stores one or more instructions suitable for being loaded and executed by the processor. These instructions may be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the steps of a distribution network hierarchical control method based on high-precision simulation technology in the above embodiment.

Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce a use A device for realizing the functions specified in a process or processes in a flowchart and/or a block or blocks in a block diagram.

These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in a process or processes in the flowchart and/or in a block or blocks in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that the present invention can still be modified. Modifications or equivalent substitutions may be made to the specific embodiments, and any modifications or equivalent substitutions that do not depart from the spirit and scope of the invention shall be covered by the scope of the claims of the invention.

Claims (10)

1. The utility model provides a distribution network layering control method based on high accuracy simulation technique which characterized in that, the method includes:

step S101, predicting source load power of a regional distribution network;

step S102, simulating the regional distribution network by taking a source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;

step S103, selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing step S105 after carrying out network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by utilizing the reconstruction strategy, otherwise, executing step S104;

step S104, active power of a distributed power supply in a simulation system corresponding to the regional distribution network is regulated by taking equipment safety as a target, and step S105 is executed after a leaf end adaptation section of power grid equipment with a load ratio greater than 1 is disconnected;

step S105, adjusting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets;

step S106, optimizing transformer transformation ratio in a simulation system corresponding to the regional power distribution network;

step S107, performing distribution network equipment-level self-checking on the simulation system corresponding to the regional distribution network, if the distribution network equipment-level self-checking is passed, outputting a layered control scheme of each basic distribution network calculation unit in the simulation system corresponding to the regional distribution network, otherwise, outputting abnormal equipment information;

Wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio;

when the regional power distribution network is a high-voltage power distribution network, each network communication unit in the simulation system corresponding to the regional power distribution network is packaged into a module, and when the regional power distribution network is a low-voltage power distribution network, each feeder line in the simulation system corresponding to the regional power distribution network is packaged into a module, and the module is used as a basic power distribution network calculation unit;

in the process of simulating the regional distribution network by taking the source load power prediction result as an initial condition, setting the node voltage of a main network of a basic distribution network calculation unit to be 1.0pu for each source load prediction time section;

the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network are adjusted by taking energy conservation and loss reduction as targets, and the reactive power adjustment method comprises the following steps:

setting reactive power of a distributed power supply and reactive power of a compensation device in a simulation system corresponding to the regional distribution network as control variables;

the control variable is regulated to obtain a control variable which enables a third target value of the simulation system corresponding to the regional distribution network to be minimum and meets a second preset constraint condition, and reactive power of a distributed power supply and reactive power of a compensation device in the simulation system corresponding to the regional distribution network are regulated based on the control variable;

The calculation formula of the third target value of the simulation system corresponding to the regional distribution network is as follows:

F ₃ =∑ _j∈N (V _j ) ^T (Y _j V _j ) ^*

in the above, F ₃ N is a power grid equipment set in the simulation system corresponding to the regional power distribution network and V is a third target value of the simulation system corresponding to the regional power distribution network _j The voltage matrix of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is Y _j An admittance matrix of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is represented by a transposed symbol, and a conjugated symbol is represented by T;

the second preset constraint condition includes: kirchhoff current constraint, kirchhoff voltage constraint, equipment capacity constraint, reactive power compensation device output constraint and distributed power supply reactive power constraint.

2. The method of claim 1, wherein selecting a reconstruction policy from a set of preset reconstruction policies targeting source load balancing comprises:

performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using each reconstruction strategy in a preset reconstruction strategy set, if the equipment capacity in the simulation system corresponding to the regional power distribution network after network reconstruction is not out of limit, taking the reconstruction strategy as an alternative reconstruction strategy, otherwise, rejecting the reconstruction strategy;

Taking an alternative reconstruction strategy corresponding to the area distribution network after network reconstruction when the first objective function value of the simulation system corresponding to the area distribution network is minimum as a selected reconstruction strategy;

the calculation formula of the first objective function value of the simulation system corresponding to the regional power distribution network is as follows:

F ₁ =∑ _i∈S ∣P _ig -P _if ∣

in the above, F ₁ The first objective function value of the simulation system corresponding to the regional distribution network is S is a feeder line set in the simulation system corresponding to the regional distribution network, and P _ig The sum of the active power of all distributed power sources on the ith feeder line in the simulation system corresponding to the regional distribution network is P _if And the sum of the active power of all loads of the ith feeder line in the simulation system corresponding to the regional distribution network is obtained.

3. The method of claim 1, wherein the adjusting the active power of the distributed power source in the simulation system corresponding to the regional distribution network with the objective of equipment safety includes:

active power of a distributed power supply in a simulation system corresponding to the regional power distribution network is set as a control variable;

the control variable is regulated to obtain a control variable which enables a second target value of the simulation system corresponding to the regional distribution network to be minimum and meets a first preset constraint condition, and active power of a distributed power supply in the simulation system corresponding to the regional distribution network is regulated based on the control variable;

Wherein the first preset constraint condition includes: kirchhoff current constraints and kirchhoff voltage constraints;

the calculation formula of the second target value of the simulation system corresponding to the regional power distribution network is as follows:

F ₂ =∑ _j∈N c _j k _j

in the above, F ₂ The second target value of the simulation system corresponding to the regional distribution network is N, and the power grid equipment set in the simulation system corresponding to the regional distribution network is C _j Penalty constant k of jth power grid equipment in simulation system corresponding to regional power distribution network _j The j-th simulation system corresponding to the regional distribution networkThe load factor of the power grid equipment is k when the load factor of the jth power grid equipment in the simulation system corresponding to the regional power distribution network is greater than 1 _j When the load rate of the j-th power grid equipment in the simulation system corresponding to the regional power distribution network is less than or equal to 1, k is equal to 1 =1 _j =0。

4. The method of claim 1, wherein the mathematical model of the distributed power supply reactive power constraint is as follows:

q _g ≤p _g tanθ

in the above, q _g For reactive power of distributed power supply, p _g And θ is the power angle corresponding to the minimum power factor of the distributed power supply.

5. The method of claim 1, wherein optimizing transformer transformation ratios in a simulation system corresponding to the regional distribution network comprises:

Determining a transformer transformation ratio correction value based on the node number and the average node voltage amplitude of each feeder line in the simulation system corresponding to the regional distribution network;

and when the absolute difference value between the actual transformer ratio of the transformer in the simulation system corresponding to the regional distribution network and the transformer ratio correction value is in a preset range, adjusting the actual transformer ratio of the transformer to the transformer ratio correction value.

6. The method of claim 5, wherein the transformer ratio correction value is calculated as follows:

U _avg =(∑ _i∈S N _i U _i )/( ∑ _i∈S N _i )

in the above, U _avg For the transformer transformation ratio correction value, N _i For the number of nodes on the ith feeder line in the simulation system corresponding to the regional distribution network, U _i And S is a feeder set in the simulation system corresponding to the regional distribution network.

7. The method of claim 1, wherein performing distribution network equipment-level self-verification on the simulation system corresponding to the regional distribution network comprises:

and carrying out power flow calculation on the simulation system corresponding to the regional power distribution network by adopting a Newton Lapherson power flow algorithm, if the simulation system corresponding to the regional power distribution network meets the power flow constraint, carrying out equipment-level self-checking on the power distribution network, otherwise, carrying out no equipment-level self-checking on the power distribution network.

8. An apparatus for a hierarchical control method of a power distribution network based on the high-precision simulation technique of any one of claims 1 to 7, characterized in that the apparatus comprises:

the prediction module is used for predicting the source load power of the regional power distribution network;

the simulation module is used for simulating the regional distribution network by taking the source load power prediction result as an initial condition to obtain a simulation system corresponding to the regional distribution network;

the network reconstruction module is used for selecting a reconstruction strategy from a preset reconstruction strategy set by taking source load balancing as a target, if the selection is successful, executing a second control module after performing network reconstruction on a medium-voltage feeder line in a simulation system corresponding to the regional power distribution network by using the reconstruction strategy, otherwise, executing a first control module;

the first control module is used for adjusting the active power of the distributed power supply in the simulation system corresponding to the regional power distribution network by taking equipment safety as a target, and executing the second control module after disconnecting the leaf end adaptation section of the power grid equipment with the load rate larger than 1;

the second control module is used for adjusting the reactive power of the distributed power supply and the reactive power of the compensation device in the simulation system corresponding to the regional distribution network by taking energy conservation and loss reduction as targets and then executing the third control module;

The third control module is used for optimizing transformer transformation ratio in the simulation system corresponding to the regional distribution network;

the verification module is used for carrying out power distribution network equipment-level self-verification on the simulation system corresponding to the regional power distribution network, if the power distribution network equipment-level self-verification is passed, outputting a layered control scheme of each basic power distribution network calculation unit in the simulation system corresponding to the regional power distribution network, otherwise, outputting abnormal equipment information;

wherein the hierarchical control scheme includes at least one of: the method comprises the steps of a reconstruction strategy, active power of a distributed power supply, reactive power of the distributed power supply, reactive power of a compensation device and transformer transformation ratio.

9. A computer device, comprising: one or more processors;

the processor is used for storing one or more programs;

the method for hierarchical control of a power distribution network based on high-precision simulation techniques as claimed in any one of claims 1 to 7 is implemented when said one or more programs are executed by said one or more processors.

10. A computer-readable storage medium, on which a computer program is stored, which computer program, when executed, implements the method for hierarchical control of a distribution network based on high-precision simulation techniques as claimed in any one of claims 1 to 7.