CN115102953B - Power distribution network Yun Bianduan cooperative management and control system and method - Google Patents

Abstract

Embodiments of the present invention provide a cloud-edge-device collaborative management and control system and method for a power distribution network, which belong to the technical field of the power distribution Internet of Things. The system includes: an autonomous control terminal connected by a tree network, an aggregation coordination device, and a central cloud; the central cloud is a first-level node, the aggregation coordination device is a secondary node, and the autonomous control terminal is a final node; The central cloud is connected to multiple aggregation and coordination devices, and each aggregation and coordination device is connected to multiple autonomous control terminals. The solution of the present invention adopts the method of "central cloud" + "edge cloud", adds clustering and policy-making edge computing functions to the end-side devices, and adds aggregation and policy-making cloud computing functions to the side devices. On the one hand, it can realize distributed The intra-class self-organization, inter-class aggregation and collaboration of resource resources, on the one hand, can reduce the pressure of cloud computing, realize localized processing, and improve the efficient coordination and control of all levels and the overall computing capacity.

Description

Distribution network cloud-edge-end collaborative management and control system and method

technical field

The invention relates to the technical field of power distribution Internet of Things, in particular to a distribution network cloud-edge-terminal collaborative management and control system and a distribution network cloud-edge-terminal collaborative management and control method.

Background technique

As a key intermediate link between the two ends of the power system linking production and sales, the distribution network is the key link connecting power transmission and users. With the high proportion of distributed renewable energy and a large number of electric vehicles connected, the demand for flexible load energy diversity increases. The distribution network is transformed from the traditional one-way power provider to two-way energy flow and advanced services. Constructing the distribution network Internet of Things with the cloud-edge terminal as the system architecture can greatly improve the overall perception of the distribution network's operating status on the one hand, and on the other hand can realize the need for large-scale connection of massive distributed resources to access the system, and promote the power distribution network. The two-way data interaction of the station area improves the management and control efficiency of the station area.

Today, the large-scale grid connection of distributed resources such as distributed wind power, rooftop photovoltaics, energy storage, triple power supply, electric vehicles, and flexible loads has brought a series of impacts on the safe and stable operation and centralized management of the distribution network. The power grid presents the characteristics of complex structure, diverse equipment, and complex technologies. Distributed resources have a series of characteristics that are not conducive to the regulation and control of distribution networks, such as large quantity, dispersion, and great uncertainty. It is difficult to realize real-time monitoring and efficient and orderly control of distributed resources by relying on existing regulation methods. In order to solve the above problems, it is necessary to create a distribution network cloud-edge-end collaborative management and control system and method.

Contents of the invention

The purpose of the embodiments of the present invention is to provide a distribution network cloud-edge-device collaborative management and control system and a distribution network cloud-edge-device collaborative management and control method to at least solve the problem that the existing control methods cannot meet the requirements of distributed resources with a large amount of distributed, scattered, and inconsistent resources. A series of problems that are not conducive to the characteristics of distribution network regulation, such as high certainty.

In order to achieve the above object, the first aspect of the present invention provides a cloud-edge-end collaborative management and control system for distribution networks, the system includes: an autonomous control terminal connected to a tree network, an aggregation coordination device, and a central cloud; the central cloud is a A level node, the aggregation and coordination device is a secondary node, and the autonomous control terminal is a last-level node; the central cloud is connected to multiple aggregation and coordination devices, and each aggregation and coordination device is connected to multiple autonomous control terminals; The self-made control terminal is used to collect the resource information of each grid-connected cluster in the corresponding area, and to perform corresponding grid-connected cluster regulation according to the secondary regulation instruction from the aggregation and coordination device; the aggregation and coordination device is used to synchronize the connected The resource information uploaded by all the autonomous control terminals of the system, and the corresponding secondary control instructions are issued to all connected autonomous control terminals; the central cloud is used to synchronize the resource information uploaded by all the connected aggregation coordination devices, generate and Sending corresponding first-level regulation instructions to all connected autonomous control terminals; both the second-level regulation instructions and the first-level regulation instructions are generated based on corresponding resource information.

Optionally, within the tree network connection relationship, there is a mutual communication relationship between nodes at the same level.

Optionally, all communication between nodes at the same level and at the same level is wireless communication, and the communication rules between nodes at the same level and at the same level at least include: any one of wireless public network, carrier wave, and optical fiber.

Optionally, each self-made control terminal is correspondingly responsible for a grid-connected cluster.

Optionally, the grid-connected cluster includes: at least one of distributed resources, flexible loads, and power users.

Optionally, the resource information of the grid-connected cluster includes: at least one of the electrical quantity information, temperature information, energy efficiency ratio information, cooling/heating power information, system frequency information, and power consumption/power supply characteristic information of each device under the corresponding cluster. kind.

Optionally, the self-made control terminal is further configured to generate a self-regulating three-level regulation instruction according to the resource information of the corresponding grid-connected cluster.

Optionally, on the premise that the regulation instruction meets expectations, the priority of the third-level regulation instruction is higher than that of the second-level regulation instruction, and the priority of the second-level regulation instruction is higher than that of the first-level regulation instruction.

Optionally, the regulation type of grid-connected cluster regulation includes: at least one of coordinated control, intelligent operation and maintenance, peak shaving and valley filling, energy dynamic balance, and information release interaction.

The second aspect of the present invention provides a distribution network cloud-edge-device collaborative management and control method. The method is the above-mentioned distribution network cloud-edge-device collaborative management and control system. The method includes: in response to user regulation requirements, the central cloud issues the corresponding The regulation start command is sent to all connected aggregation coordination devices, and is forwarded by the aggregation coordination device to all connected autonomous control terminals; in response to the regulation start instruction, the autonomous control will eventually perform self-regulation; if the self-regulation of the autonomous control terminal cannot If the expectation is met, the autonomous control terminal uploads the collected resource information to the correspondingly connected aggregation and coordination device; the aggregation and coordination device synchronizes the resource information uploaded by all the connected autonomous control terminals, and negotiates with other aggregation and coordination devices to generate a secondary control instruction; if If the second-level control instruction does not meet expectations, the aggregation and coordination device continues to upload resource information to the correspondingly connected central cloud; the central cloud synchronizes the resource information uploaded by all the aggregation and coordination devices connected to it, generates and delivers the corresponding first-level The regulation instruction is sent to all connected self-made control terminals; the self-made control terminal executes the first-level regulation instruction.

Optionally, the self-regulation of the autonomous control terminal includes: responding to the regulation start instruction, the autonomous control terminal collects the resource information of the corresponding grid-connected cluster, and negotiates with other autonomous control terminals to generate a three-level self-regulation A regulation instruction; the autonomous control terminal performs self-regulation based on the three-level regulation instruction.

Optionally, the priority of the third-level regulation instruction is higher than that of the second-level regulation instruction, and the priority of the second-level regulation instruction is higher than that of the first-level regulation instruction.

Optionally, the execution rules of the third-level regulation instruction, the second-level regulation instruction, and the first-level regulation instruction include: if the third-level regulation instruction meets expectations, the autonomous control terminal directly executes the third-level regulation instruction; If the first-level regulation instruction does not meet expectations, but the second-level regulation instruction meets expectations, the autonomous control terminal directly executes the second-level regulation instruction; if neither the third-level regulation instruction nor the second-level regulation instruction meets expectations, the autonomous control terminal executes the first-level regulation instruction .

On the other hand, the present invention provides a computer-readable storage medium, on which instructions are stored, and when running on a computer, the computer executes the above-mentioned cloud-edge-terminal collaborative management and control method of the distribution network.

Through the above-mentioned technical solution, adopt the method of "central cloud" + "edge cloud", add clustering and policy-making edge computing functions to the end-side devices, and add aggregation and policy-making cloud computing functions to the side devices. On the one hand, it can Realize intra-class self-organization, inter-class aggregation and collaboration of distributed resources. On the one hand, it can lower the pressure of cloud computing, realize localized processing, and improve efficient coordination, control and overall computing capabilities between all levels.

Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description.

Description of drawings

The accompanying drawings are used to provide a further understanding of the embodiments of the present invention, and constitute a part of the description, together with the following specific embodiments, are used to explain the embodiments of the present invention, but do not constitute limitations to the embodiments of the present invention. In the attached picture:

Fig. 1 is a system structure diagram of a distribution network cloud-edge-terminal collaborative management and control system provided by an embodiment of the present invention;

Fig. 2 is a flow chart of the steps of a method for collaborative management and control of distribution network cloud, edge and terminal provided by an embodiment of the present invention;

Fig. 3 is a flowchart of an implementation process of an example provided by an implementation manner of the present invention.

Detailed ways

Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

As the key intermediate link between production and sales in the power system, the distribution network is the key link connecting power transmission and users. With the high proportion of distributed renewable energy and the large number of electric vehicles connected, the demand for flexible load energy diversity With the growth of the distribution network, the traditional one-way power provider is transformed into two-way energy flow and advanced services. Constructing the distribution network Internet of Things with the cloud-edge terminal as the system architecture can greatly improve the overall perception of the distribution network's operating status on the one hand, and on the other hand can realize the need for large-scale connection of massive distributed resources to access the system, and promote the power distribution network. The two-way data interaction of the station area improves the management and control efficiency of the station area.

Today, the large-scale grid connection of distributed resources such as distributed wind power, rooftop photovoltaics, energy storage, triple power supply, electric vehicles, and flexible loads has brought a series of impacts on the safe and stable operation and centralized management of the distribution network. The power grid presents the characteristics of complex structure, diverse equipment, and complex technologies. Distributed resources have a series of characteristics that are not conducive to the regulation and control of distribution networks, such as large quantity, dispersion, and great uncertainty. It is difficult to realize real-time monitoring and efficient and orderly control of distributed resources by relying on existing regulation methods.

Based on the above problems, the present invention intends to solve the problems that the existing control methods cannot meet a series of problems that are unfavorable to the control of the distribution network, such as the large amount of distributed resources, dispersion, and large uncertainty, and proposes a distribution network cloud The edge-end collaborative management and control method and system adopts the "central cloud" + "edge cloud" approach, adding clustering and policy-making edge computing functions to the end-side devices, and adding aggregation and policy-making cloud computing functions to the side devices. On the one hand, it can realize intra-class self-organization and inter-class aggregation and collaboration of distributed resources. On the other hand, it can decentralize the pressure of cloud computing, realize localized processing, and improve efficient coordination, control and overall computing capabilities between all levels.

Fig. 1 is a system structure diagram of a distribution network cloud-edge-terminal collaborative management and control system provided by an embodiment of the present invention. As shown in Figure 1, the embodiment of the present invention provides a cloud-edge-terminal collaborative management and control system for a distribution network. The system includes: an autonomous control terminal connected to a tree network, an aggregation coordination device, and a central cloud; wherein the central cloud It is a first-level node, the aggregation coordination device is a secondary node, and the autonomous control terminal is the last node; the central cloud is connected to multiple aggregation coordination devices, and each aggregation coordination device is connected to multiple autonomous control terminals ; The self-made control terminal is used to collect the resource information of each grid-connected cluster in the corresponding area, and perform corresponding grid-connected cluster regulation according to the secondary control instruction from the aggregation and coordination device; the aggregation and coordination device is used to synchronize The resource information sent by all connected autonomous control terminals, and the corresponding secondary control instructions are sent to all connected autonomous control terminals; the central cloud is used to synchronize the resource information sent by all connected aggregation and coordination devices, and send Sending corresponding first-level regulation instructions to all connected autonomous control terminals; wherein, both the second-level regulation instructions and the first-level regulation instructions are generated based on corresponding resource information.

In the embodiment of the present invention, the solution of the present invention proposes a cloud-edge-end collaborative control method and system for the distribution network according to the cloud-edge-end collaborative interaction requirements of the power distribution Internet of Things system, and proposes an autonomous control terminal and an aggregation collaboration device. basic structure. Using the method of "central cloud" + "edge cloud", combined with data acquisition and processing technology, edge computing technology, communication technology, etc., the intra-class self-organization and inter-class contract coordination strategy modules are deployed in the autonomous control terminal, and the aggregation, The contract collaboration strategy module is set in the aggregation collaboration device to realize the management and control of device-side self-organization, device-side and device-side collaboration, device-side and side-side, side-side and side-side, and side-side and cloud-side collaboration. Its specific realization idea is:

Connect the autonomous control terminal, the aggregation and coordination device and the central cloud through the tree network setting. In the traditional method, the central cloud needs to coordinate and manage all the equipment units in the jurisdiction. The device side has a certain self-regulation capability to prevent all regulatory pressure from being concentrated on the central cloud side.

Therefore, the autonomous control terminal is the primary control device installed on the equipment side. On the one hand, it realizes resource information collection and data preprocessing within its control range, and on the other hand, it processes the collected information and transmits it to the upper-level aggregation and coordination device in time. Receive and execute superior control orders. Therefore, the autonomous control terminal has a certain edge computing capability, with a class as the unit, a clustering algorithm module and a policy module are embedded, and the clustering algorithm can be used to cluster the resources within the scope of its control, and the lower-level resources can be clustered through the policy module. Real-time analysis and decision-making, and centralized management and coordinated control of subordinate resources. Preferably, in order to effectively distinguish resources such as distributed resources, flexible loads, and power users, these categories are sorted separately, and each autonomous control terminal is responsible for a cluster. Because the equipment usage/power supply under the same cluster has certain similarities, based on these similarities, information collection and equipment regulation can be performed efficiently. Of course, the solution of the present invention is not limited to the above-mentioned category division, and further dismantling and division can be carried out, such as dividing smart meters, smart appliances, electric vehicles, photovoltaic power generation, wind power generation, etc., as long as there is a corresponding cluster division, All are theoretically within the protection scope of the scheme of the present invention.

The aggregation coordination device takes a certain block as a unit, and is responsible for all autonomous control terminals in a block, for example, a station area as a unit. On the one hand, it is used to synchronize the information sent by all autonomous control terminals within the effective time, and at the same time upload the operation information and status of all equipment to the central cloud for real-time monitoring, and issue control instructions to the autonomous control terminals below according to the control requirements. On the other hand, it acts as an edge cloud to perform centralized management and collaborative regulation of the autonomous control terminals under its jurisdiction.

The central cloud is the highest decision-making unit, which synchronizes the information of the lower-level aggregation and coordination devices, and centrally manages and regulates them, and coordinates the safe and stable operation and reasonable operation of distributed resources, flexible loads, power users and other resources within its jurisdiction. To use electricity in an orderly manner, by means of data storage, data analysis and processing, combined with certain cloud computing methods, specific control tasks can be realized according to the specific needs and goals of the distribution network. Preferably, the regulation type includes: at least one of coordinated control, intelligent operation and maintenance, peak shaving and valley filling, energy dynamic balance, and information release interaction.

Preferably, within the tree network connection relationship, there is a mutual communication relationship between nodes at the same level.

In the embodiment of the present invention, since both the autonomous control terminal and the aggregation and coordination device have certain edge computing capabilities, if the control plan is determined only based on the resource information in the current area, it will inevitably lead to incomplete consideration. Because the power grid connection is not an "isolated island" that each device is responsible for, but has an interconnected connection relationship, so if you want to achieve a certain self-regulation ability of the autonomous control terminal, or the auxiliary regulation ability of the aggregation and coordination device, you only need to rely on its corresponding responsible area. Resource information is far from attainable. In order to make regulation effective, it is necessary for each responsible area to share resources, and to generate overall and coordinated regulation instructions based on the characteristics of power grid power supply. It is precisely for the convenience of compromise resource sharing that there is a mutual communication relationship between nodes at the same level. That is, the autonomous control terminal has the same communication relationship with other autonomous control terminals, and the aggregation coordination device also has a mutual communication relationship with other aggregation coordination devices.

Preferably, all communication between inter-level nodes and inter-nodes at the same level is wireless communication, and its communication rules include at least any one of wireless public network, carrier wave, and optical fiber.

Preferably, each self-made control terminal is correspondingly responsible for a grid-connected cluster.

Preferably, the grid-connected cluster includes: at least one of distributed resources, flexible loads, and power users.

Preferably, the resource information of each grid-connected cluster includes: electrical quantity information, temperature information, energy efficiency ratio information, cooling/heating power information, system frequency information, power usage/common power characteristic information of each equipment under the corresponding cluster at least one of .

In the embodiment of the present invention, the clustering of autonomous control terminals is mainly homogeneous clustering. Homogeneous refers to resources with the same type of collected data. The main purpose is to extract The same homogeneous resources, such as the number of valley filling, the capacity of participating in peak shaving and valley filling, and the time period of participating in peak shaving and valley filling, facilitate the unified characteristic analysis and hierarchical control of similar resources. Specifically, for example:

1) The smart meter autonomous control terminal only collects household smart meter information, such as three-phase voltage, three-phase current, average voltage and current, total active power, total reactive power, total active energy, total reactive energy, power factor, system frequency and other information.

2) The intelligent electrical appliance autonomous control terminal only collects electrical equipment information, here refers to temperature-controlled loads, such as air conditioners, water heaters, refrigerators, etc., specific information such as electric power, cooling power, heating power, current set temperature, energy efficiency ratio, power on and off status information, etc.

3) The electric vehicle autonomous control terminal only collects relevant information of electric vehicles, such as state of charge, charging and discharging power, charging and discharging efficiency, charging and discharging status and other information.

4) The autonomous control terminal of distributed resources only collects information about resources such as photovoltaic power generation, wind power generation, and combined cooling and heating power, such as active power, reactive power, cooling power, and thermal power.

Preferably, the self-made control terminal is also used to generate a self-regulating three-level regulation instruction according to the resource information of the corresponding grid-connected cluster.

In the embodiment of the present invention, the present invention realizes that the self-made control terminal has a certain self-regulation capability. Currently, the self-regulation capability is far smaller than the centralized control capability of the central cloud, but based on conventional adjustments, it has sufficient capability to realize, and Because there are fewer steps for information reporting and waiting for plan generation, the timeliness of its regulatory response will be greatly satisfied.

Preferably, the priority of the third-level regulation instruction is higher than that of the second-level regulation instruction, and the priority of the second-level regulation instruction is higher than that of the first-level regulation instruction.

In the embodiment of the present invention, when the three-level regulation instruction is enough to realize the self-control of the self-made control terminal, in order to reduce the delay, it can directly execute the self-generated three-level regulation instruction, and cancel the subsequent steps of generating the second-level regulation instruction and First-level control instruction generation steps. Correspondingly, when the second-level regulation instruction meets the requirements, it can also cancel the step of generating the first-level regulation instruction. Therefore, when the regulation instruction meets the requirement, the priority of the third-level regulation instruction is higher than that of the second-level regulation instruction, and the priority of the second-level regulation instruction is higher than that of the first-level regulation instruction.

In another possible implementation, the aggregation and coordination device has the function of formulating aggregation strategies and contract coordination strategies at the same time. The aggregation strategy module is used to integrate various information of lower-level terminals, and formulate aggregation strategies with the goals of optimal cost and environmental protection. Realize the self-satisfaction of this device participating in the task of peak shaving and valley filling. When the task requirements cannot be met through the aggregation strategy, through the contract coordination strategy, communicate with adjacent devices and cooperate to complete the task requirements in the form of a contract. For example, when the device is less than the agreed When it comes to the capacity or agreed times, make and contract with the adjacent device, the adjacent device will complete the unfinished part of the device, and the device will pay a certain economic settlement. That is, in addition to negotiating with other aggregation and coordination devices to generate control instructions, other aggregation and coordination devices can also be selected to execute in the step of executing the regulation instructions, which improves the overall flexibility of the system.

Fig. 2 is a method flow chart of a cloud-edge-terminal collaborative management and control method for a distribution network provided by an embodiment of the present invention. As shown in Figure 2, the embodiment of the present invention provides a method for cloud-edge-device collaborative management and control, and the method includes:

Step S10: In response to the user's adjustment and control requirements, the central cloud issues a corresponding adjustment and start command to all connected aggregation and coordination devices, and the aggregation and coordination device forwards it to all correspondingly connected autonomous control terminals.

Step S20: In response to the regulation start instruction, the autonomous control terminal collects the resource information corresponding to the grid-connected cluster, and negotiates with other autonomous control terminals to generate a self-regulation three-level regulation instruction. When the three-level regulation instruction meets expectations, directly Execute the three-level control instruction, otherwise jump to step S30.

Step S30: Upload the collected resource information to the correspondingly connected aggregation and coordination device, and the aggregation and coordination device synchronizes the resource information sent by all autonomous control terminals connected, and negotiates with other aggregation and coordination devices to generate a second-level regulation instruction; when the second-level regulation instruction When the expectations are met, directly execute the secondary regulation instruction, otherwise jump to step S40.

Step S40: The aggregation and coordination device continues to send resource information to the correspondingly connected central cloud, and the central cloud synchronizes the resource information sent by all the aggregation and coordination devices connected to it, and generates corresponding first-level control instructions, which are gradually The first-level forwards to the corresponding self-made control terminal, and the self-made control terminal executes the first-level control instruction.

Example:

As a type of demand response, peak-shaving and valley-filling is a way for distributed resources to participate in the stable, reliable, and optimized operation of the distribution network. Therefore, taking peak-shaving and valley-filling tasks as an example, it serves as a method for collaborative management and control of the distribution network by cloud, edge, and terminal. specific cases are described.

The autonomous control terminal receives the peak-shaving and valley-filling instruction from the upper-level aggregation and coordination device, based on the intra-class self-organization strategy module, combined with each controller to synthesize the status information, electrical information, environmental information, price information such as electricity price and gas price of various resources, etc. , formulate intra-category peak-shaving and valley-filling resource regulation strategies, adjust and control the load, power, frequency, and status of various types of distributed resources, with the goal of optimizing the economy and maximizing the consumption of distributed energy to achieve the load. Orderly regulation and transfer, plug-and-play self-organization within a class of distributed energy. When the task requirements cannot be met through the intra-class self-organization strategy, communicate with adjacent terminals and cooperate to complete the task requirements in the form of a contract. The adjacent terminal completes the unfinished part of the terminal, and the terminal pays a certain economic settlement.

As shown in Figure 3, the specific implementation process is as follows:

Step 1: After the central cloud receives the peak-shaving and valley-filling command, it sends it to the lower level. The aggregation and coordination device will cut the peak-shaving and filling the valley according to the data indicators such as adjustable capacity, adjustable times, and adjustable period reported by each autonomous control terminal. Commands are issued to each autonomous control terminal.

Step 2: After the autonomous control terminal receives the instruction of peak shaving and valley filling from the superior, it formulates a self-organization strategy within the class, and judges whether the strategy can meet the task of peak shaving and valley filling of the terminal, and if so, executes the order and reports to the superior Aggregation coordination device; if it is not satisfied, it will communicate with its adjacent autonomous control terminal to formulate a contract response strategy; if it still cannot meet the peak-shaving and valley-filling tasks of each autonomous control terminal, it will report to the aggregation coordination device, and formulate a contract response strategy through the aggregation coordination device. aggregation strategy.

Step 3: After the aggregation strategy of the aggregation coordination device, if the task of peak shaving and valley filling can be satisfied, the command is executed and reported to the upper-level central cloud; otherwise, it communicates with the adjacent aggregation coordination device to formulate a contract response strategy; if it is still not satisfied, Then report to the central cloud, and use the cloud computing method of the central cloud to realize the peak-shaving and valley-filling tasks of each aggregation and coordination device and even the distribution network, and execute the peak-shaving and valley-filling command.

The embodiment of the present invention also provides a computer-readable storage medium, where instructions are stored on the computer-readable storage medium, and when running on a computer, the computer executes the above-mentioned cloud-edge-terminal collaborative management and control method of the distribution network.

Those skilled in the art can understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing related hardware through a program. A processor executes all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes. .

The optional embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above-mentioned embodiments. Within the technical concept of the embodiments of the present invention, the technical aspects of the embodiments of the present invention can be Various simple modifications are made to the scheme, and these simple modifications all belong to the protection scope of the embodiments of the present invention. In addition, it should be noted that the various specific technical features described in the above specific implementation manners may be combined in any suitable manner if there is no contradiction. In order to avoid unnecessary repetition, various possible combinations are not further described in the embodiments of the present invention.

In addition, any combination of various implementations of the present invention can also be made, as long as they do not violate the idea of the implementations of the present invention, they should also be regarded as the content disclosed in the implementations of the present invention.

Claims (12)

1. The utility model provides a distribution network cloud limit end is management and control system in coordination which characterized in that, the system includes:

the system comprises an autonomous control terminal, an aggregation cooperative device and a central cloud which are connected with a tree network; the central cloud is a primary node, the aggregation cooperative device is a secondary node, and the autonomous control terminal is a final node;

the central cloud is connected with a plurality of aggregation cooperative devices, and each aggregation cooperative device is connected with a plurality of autonomous control terminals;

the autonomous control terminal is used for collecting resource information of each grid-connected cluster in the corresponding area and carrying out corresponding grid-connected cluster regulation and control according to a secondary regulation and control instruction from the aggregation cooperative device;

the autonomous control terminal is also used for generating a self-regulating three-level regulating instruction according to the resource information of the corresponding grid-connected clusters;

the aggregation cooperative device is used for synchronizing the resource information uploaded by all connected autonomous control terminals and issuing corresponding secondary regulation and control instructions to all connected autonomous control terminals;

the central cloud is used for synchronizing the resource information uploaded by all connected aggregation cooperative devices, generating and gradually issuing corresponding primary regulation and control instructions to all connected autonomous control terminals;

the secondary regulation and control instruction and the primary regulation and control instruction are generated based on corresponding resource information;

the execution rules of the three-level regulation instruction, the two-level regulation instruction and the one-level regulation instruction comprise:

if the three-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the three-level regulation and control instruction;

if the three-level regulation and control instruction does not meet the expectation, and the two-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the two-level regulation and control instruction;

and if the three-level regulation and control instruction and the two-level regulation and control instruction do not meet the expectations, the autonomous control terminal executes the one-level regulation and control instruction.

2. A system as recited in claim 1, wherein peer nodes have a communication relationship with each other within the tree network connection relationship.

3. A system as recited in claim 2, wherein all inter-peer and inter-peer communications are wireless communications, and wherein the inter-peer and inter-peer communications rules include at least: any one of a wireless public network, a carrier wave and an optical fiber.

4. The system of claim 1, wherein each autonomous control terminal is responsible for a grid-tie cluster.

5. The system of claim 4, wherein the grid-tie clustering comprises:

at least one of distributed resources, flexible load, electricity users.

6. The system of claim 1, wherein the resource information of the grid-connected clusters comprises:

and at least one of electric quantity information, temperature information, energy efficiency ratio information, cold/hot power information, system frequency information and power consumption/power supply characteristic information of each device under the corresponding cluster.

7. The system of claim 1, wherein the tertiary regulatory command has a priority greater than the secondary regulatory command and the secondary regulatory command has a priority greater than the primary regulatory command if the regulatory command meets an expected requirement.

8. The system of claim 1, wherein the regulation type of grid-tie cluster regulation comprises:

at least one of coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information release interaction.

9. The cloud edge end cooperative control method for the power distribution network is characterized by comprising the following steps of:

responding to the user regulation and control requirement, the central cloud transmits a corresponding regulation and control starting instruction to all connected aggregation cooperative devices, and the aggregation cooperative devices forward the corresponding regulation and control starting instruction to all corresponding connected autonomous control terminals;

responding to the regulation starting instruction, and performing self regulation by the autonomous control terminal;

if the self-regulation of the autonomous control terminal cannot meet the expectation, the autonomous control terminal uploads the acquired resource information to the corresponding connected aggregation cooperative device;

the aggregation cooperative device synchronizes the resource information uploaded by all the connected autonomous control terminals and negotiates with other aggregation cooperative devices to generate a secondary regulation instruction;

the autonomous control terminal also generates a self-regulating three-level regulating instruction according to the resource information of the corresponding grid-connected clusters;

if the secondary regulation and control instruction does not meet the expectation, the aggregation cooperative device continuously uploads the resource information to the correspondingly connected central cloud;

the central cloud synchronizes the resource information uploaded by all connected aggregation cooperative devices, and generates and transmits corresponding primary regulation and control instructions to all connected autonomous control terminals step by step;

the autonomous control terminal executes the primary regulation instruction;

the execution rules of the three-level regulation instruction, the two-level regulation instruction and the one-level regulation instruction comprise:

if the three-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the three-level regulation and control instruction;

if the three-level regulation and control instruction does not meet the expectation, and the two-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the two-level regulation and control instruction;

and if the three-level regulation and control instruction and the two-level regulation and control instruction do not meet the expectations, the autonomous control terminal executes the one-level regulation and control instruction.

10. The method of claim 9, wherein the autonomous control terminal performs self-regulation, comprising:

responding to the regulation and control starting instruction, acquiring resource information of a corresponding grid-connected cluster by the autonomous control terminal, and negotiating with other autonomous control terminals to generate a self-regulation and control three-level regulation and control instruction;

and the autonomous control terminal performs self-regulation based on the three-level regulation instruction.

11. The method of claim 10, wherein the tertiary regulatory command has a priority greater than the secondary regulatory command, and wherein the secondary regulatory command has a priority greater than the primary regulatory command.

12. A computer readable storage medium having instructions stored thereon, which when run on a computer causes the computer to perform the power distribution network Yun Bianduan co-management method according to any one of claims 9 to 11.