CN119543073A - Distributed energy access distribution network abnormal state self-healing control method and device - Google Patents
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Abstract
The invention discloses a self-healing control method and device for abnormal states of a distributed energy access power distribution network, wherein the method comprises the steps of monitoring the change state of current data on a target line in the power distribution network; and after the abnormal state self-healing control is started, positioning an abnormal region and identifying an abnormal type according to the current monitored current data, if the abnormal type is identified as a fault type, controlling fault isolation, and if the abnormal type is identified as an overload abnormal type, self-adaptively adjusting a protection threshold of the terminal according to the current monitored current value. The invention can realize the self-adaptive control of the abnormal state of the power distribution network by combining the identification of faults and overload, not only can timely isolate the faults in the fault state, but also can prevent the misoperation of the distribution network protection and improve the operation reliability of the power distribution network.
Description
Technical Field
The invention relates to the technical field of protection control of power distribution networks, in particular to a self-healing control method and device for abnormal states of a distributed energy access power distribution network.
Background
The distributed new energy is accessed into the power distribution network, so that the energy efficiency, the utilization rate and the power supply reliability can be improved, but the structure of the power distribution network is more complex, flexible and changeable. In the prior art, a relay protection setting method based on current unidirectional flow design is generally adopted for protecting an active power distribution network, namely, a protection setting value is determined according to the current unidirectional flow, and then the relay protection device to be set is subjected to protection setting, but the method is complex in calculation and poor in adaptability, and particularly, the adaptability is remarkably reduced when the method is applied to a scene of accessing a distributed new energy into the power distribution network.
On the basis of a relay protection strategy, a self-healing strategy combined with power distribution automation cooperation can automatically control disconnection faults to isolate faults when the faults occur, but the action flow design in the self-healing strategy in the prior art is often complicated, and due to the adoption of a fixed protection setting value, when a fluctuation new energy or variable load is connected into a power distribution network, the power distribution network is activated, bidirectional power flow crossing is caused, the overload of the power grid can also cause remarkable increase of current amplitude, and the traditional self-healing strategy can easily cause protection failure or misoperation in the dynamic change process of the load.
In order to improve the robustness of the protection of the power distribution network, a practitioner proposes a strategy of adopting self-adaptive protection, but in the prior art, the fault type is usually determined by detecting the positive and negative sequence content in the fault current, so as to adjust the setting value of the current protection in real time, the calculation is complex, the control efficiency is low, the protection refusal or misoperation situation possibly caused by the dynamic change of the load cannot be fully considered, when the abnormal situation such as the significant increase of the current amplitude caused by the sudden increase of the load occurs, the protection misoperation can be caused due to the existence of a superposition area between the current and a threshold value, and the normal operation of the power distribution network can be influenced by frequent protection misoperation.
Disclosure of Invention
Aiming at the technical problems existing in the prior art, the invention provides the distributed energy access power distribution network abnormal state self-healing control method and device which are simple in implementation method, low in cost, high in control efficiency and precision, safe and reliable, and can be used for realizing the self-healing control of the power distribution network abnormal state by combining fault and overload identification, so that the fault can be timely isolated in the fault state, the protection misoperation of the power distribution network can be prevented, and the operation reliability of the power distribution network can be effectively improved.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
the method for controlling the abnormal state self-healing of the distributed energy access power distribution network comprises the following steps:
Monitoring the change state of current data on a target line in the power distribution network;
When the change state of the current data is monitored to meet the preset starting condition, starting abnormal state self-healing control;
After the abnormal state self-healing control is started, an abnormal area is positioned according to current data monitored currently, an abnormal type is identified, if the abnormal type is identified, fault isolation is controlled, and if the overload abnormal type is identified, the protection threshold value of the terminal is adjusted in a self-adaptive mode according to the current value monitored currently.
Further, the preset starting condition comprises that the current variation exceeds a preset threshold value and the duration exceeds a specified duration.
Further, the locating the abnormal region according to the current data currently monitored includes:
judging whether each node on the target line has overcurrent or not;
Judging whether the target node is positioned in an abnormal section according to the condition that whether the target node, upstream and downstream nodes of the target node and adjacent T nodes exist overcurrent or not, wherein the adjacent T nodes are adjacent nodes with the same upstream nodes as the target node;
and locating the abnormal section according to the abnormal state of each node.
Further, the definition node comprises three states of forward overcurrent, reverse overcurrent and no overcurrent, and whether the target node is located in an abnormal section is judged according to the following rule, if the node i is forward overcurrent and the downstream node D adjacent to the node i is forward overcurrent, the area where the node i is located is judged to be non-abnormal, otherwise, the area is judged to be abnormal;
the step of locating the abnormal section according to the abnormal state of each node comprises the steps of judging the abnormal state of the node i, the upstream and downstream nodes of the node i and the abnormal state of the adjacent T node, and judging the abnormal section if the node i, the upstream and downstream nodes of the node i and the adjacent T node are abnormal.
Judging whether the node i is positioned in an abnormal section according to the following steps:
,
,
,
Wherein, Representing the load current at node i,Representing the load current at the node downstream of node i,Representing the load current at the node upstream of node i,Representing load current at an adjacent T node having the same upstream node as node i;
Locating the anomaly region i-j according to:
,
,
,
Wherein, Represents the outliers of node i and the region where node i's upstream node and neighboring T nodes are located,Represents the outliers of the areas where node i and the nodes downstream of node i are located,An outlier representing the region in which node i-j is located,、AndThe abnormal judgment values corresponding to the node i, the upstream node u of the node i and the adjacent T node of the node i are respectively shown.
Further, identifying the anomaly type from the current data currently monitored includes:
from the current data currently monitored Wherein, the method comprises the steps of, wherein,Representing the voltage value of the target line,Representing the phase difference of the voltage and the current;
If it is And if the fault type is smaller than the preset threshold value, judging the fault type, otherwise, judging the overload abnormal type.
Further, the adaptively adjusting the protection threshold of the terminal according to the current value currently monitored includes:
the protection threshold for the terminal is as follows And (3) performing self-adaptive adjustment:
Wherein, Is a coefficient of reliability and is used to determine the reliability,、Indicating the current and voltage values of the target line,Indicating the phase difference of the voltage and the current.
An abnormal state self-healing control device of a distributed energy access power distribution network, comprising:
the monitoring module is used for monitoring the change state of current data on a target line in the power distribution network;
the starting control module is used for starting abnormal state self-healing control when the change state of the current data is monitored to meet the preset starting condition;
And the self-healing control module is used for positioning an abnormal region according to the current monitored current data and identifying an abnormal type after starting the abnormal state self-healing control, controlling to perform fault isolation if the abnormal type is identified, and self-adaptively adjusting the protection threshold of the terminal according to the current monitored current value if the abnormal type is identified as the overload abnormal type.
A computer apparatus comprising a processor and a memory for storing a computer program, the processor being for executing the computer program to perform a method as described above.
A computer readable storage medium storing a computer program which, when executed by a processor, implements a method as described above.
Compared with the prior art, the method has the advantages that the method starts abnormal state self-healing control by monitoring the change state of current data on the target line of the power distribution network in real time, and when the change state reaches the preset starting condition, positioning of an abnormal region and identification of an abnormal type are firstly carried out in the abnormal state self-healing control process so as to execute different actions in combination with different abnormal types, fault isolation is carried out during fault control, the protection threshold value is controlled and self-adaptively adjusted during overload condition, the protection threshold value can be regulated in real time according to the dynamic change of load, fault protection can be effectively carried out, false protection action caused by the change of current amplitude caused by load fluctuation can be prevented, the control process is simple to realize, complex data processing is not needed, the control complexity is reduced, and the control efficiency is improved.
Drawings
Fig. 1 is a schematic implementation flow chart of the abnormal state self-healing control method of the distributed energy access power distribution network.
Fig. 2 is a schematic diagram showing the comparison of the protection thresholds used in the control process using the present invention and the conventional protection strategy, respectively, in a specific application embodiment.
Detailed Description
The invention is further described below in connection with the drawings and the specific preferred embodiments, but the scope of protection of the invention is not limited thereby.
As shown in fig. 1, the steps of the method for controlling abnormal state self-healing of the distributed energy access power distribution network according to the embodiment include:
And S01, monitoring the change state of current data on a target line in the power distribution network.
In this embodiment, current data on a target line in the power distribution network is monitored in real time, and current data at the current moment is compared with current data at the previous moment to determine a change state of the current data, and a change trend of the current data can be reflected by the change state of the current data. The change state may be a change amount, a change rate, or the like.
It will be appreciated that other types of data, such as voltage data, may of course be monitored depending on the actual requirements, in addition to current data.
And S02, starting abnormal state self-healing control when the change state of the current data is monitored to meet the preset starting condition.
As an alternative implementation manner, the preset starting condition may include that the current variation exceeds a preset threshold and the duration exceeds a specified duration, that is, the current variation exceeds the preset threshold and the duration exceeds the specified duration as starting criteria, and when the starting criteria are met, starting to perform abnormal state self-healing control. If the start-up criterion is not met, current/voltage data continues to be monitored in real time.
It is understood that the current variation and the duration threshold may be configured according to actual requirements. For example, the threshold value of the current variation can be set to beThe threshold value of the duration time is half of the power frequency period, the following formula can be adopted as a starting criterion to judge whether the feeder k has current mutation or not:
(1)
In the formula, Load current at node j before change; for the load current at the changed node j, T is the duration time after the current stops changing, and T is the power frequency period.
When the current variation is more than 5% and the duration is more than half of the power frequency period, the starting criterion is judged to be met, so that the current abnormality is indicated, the abnormal state self-healing control is required to be started, and the abnormality positioning and identification are further carried out and corresponding actions are executed.
And S03, after the abnormal state self-healing control is started, positioning an abnormal region and identifying an abnormal type according to current data monitored currently, if the abnormal type is identified, controlling to perform fault isolation, and if the abnormal type is identified as overload abnormal type, self-adaptively adjusting a protection threshold value of the terminal according to current value monitored currently.
In this embodiment, a positive direction is set in the distribution network to perform region division on the active distribution network, and adjacent nodes of each node are divided into an upstream node a U, a downstream node a D and a T node a T along the positive direction, where the T node is an adjacent node with the same upstream node.
As an alternative embodiment, the locating of the abnormal region based on the current data currently monitored may employ the following steps:
S301, judging whether each node on a target line has overcurrent or not;
S302, judging whether the target node is located in an abnormal section or not according to the condition that whether the target node, upstream and downstream nodes of the target node and adjacent T nodes exist overcurrent or not, wherein the adjacent T nodes are adjacent nodes with the same upstream nodes as the target node;
And S303, positioning an abnormal section according to the abnormal state of each node.
In the embodiment, the definition node comprises three states of forward overcurrent, reverse overcurrent and no overcurrent, and the abnormal region is positioned according to the following rule, wherein if the node i is forward overcurrent and the downstream node D adjacent to the node i is forward overcurrent, the region where the node i is located is judged to be non-abnormal, otherwise, the region is judged to be abnormal. If the forward overcurrent of the node i is performed and the forward overcurrent of the downstream node D adjacent to the node i is started, the area where the node i is located is judged to be non-abnormal, otherwise, the area is abnormal. If the node i is reverse overcurrent and the upstream node U adjacent to the node i is reverse overcurrent starting or the adjacent T node of the node i is forward overcurrent starting, the area where the node i is located is judged to be non-abnormal, otherwise, the area is judged to be abnormal. If the node i is in reverse overcurrent operation, the upstream node U adjacent to the node i is in reverse overcurrent starting or the adjacent T node of the node i is in forward overcurrent starting, the area where the node i is located is judged to be non-abnormal, otherwise, the area is abnormal.
For example, it may be determined whether the node i is located in an abnormal section according to the following formula:
(2)
(3)
(4)
Wherein, Representing the load current at node i,Representing the load current at the node downstream of node i,Representing the load current at the node upstream of node i,Representing the load current at an adjacent T node having the same upstream node as node i.
As shown in the above steps (2) - (4), if the forward and reverse overcurrent exists at the node iTakes a value of + -1, if no overcurrent exists, thenTaking the value as 0, calculating an abnormal judgment value according to the overcurrent state of each nodeIf there is overcurrent at node i) No overcurrent exists in the downstream node D at the node i) Or if there is no overcurrent between node i and adjacent T node of node i、) Overcurrent exists in an upstream node U of the node i) Calculated outIf the value of (1)If the node i is 1, the exception is indicated, otherwise, the exception is not indicated, and whether the node i is located in an abnormal section can be judged.
And further positioning an abnormal area according to the abnormal states of the node i, the upstream node, the downstream node and the adjacent T nodes. Specifically, the abnormal state of the node i, the abnormal states of the upstream and downstream nodes of the node i and the adjacent T nodes are determined, and if the node i, the upstream and downstream nodes of the node i and the adjacent T nodes are abnormal, the abnormal region is determined. The anomaly region i-j may be located, for example, according to the following equation:
(5)
(6)
(7)
Wherein, Represents the outliers of node i and the region where node i's upstream node and neighboring T nodes are located,Represents the outliers of the areas where node i and the nodes downstream of node i are located,An outlier representing the region in which node i-j is located,、AndThe abnormal judgment values corresponding to the node i, the upstream node u of the node i and the adjacent T node of the node i are respectively shown.
By the method, the abnormal section i-j can be positioned, and the upstream node i is determined according to the positive direction.
According to the embodiment, the direction of the node current is defined as normal overcurrent and reverse overcurrent, and then the abnormal state is judged by combining the target node, the upstream and downstream nodes of the target node and the overcurrent devices of the adjacent T nodes (for example, an abnormal value is calculated according to the formula (2)), so that the abnormal positioning is realized, the bidirectional flow of the tide can be skillfully integrated into the positioning method, the abnormal positioning is not influenced by the bidirectional tide, and when the active and bidirectional traversing of the power distribution network is caused by the fluctuation new energy and the variable load access power distribution network, the abnormal region can still be accurately positioned.
As an alternative embodiment, the identification of the abnormality type based on the current data currently monitored may employ the following steps:
from the current data currently monitored Where U represents the voltage value of the target line,Representing the phase difference of the voltage and the current;
If it is And if the fault type is smaller than the preset threshold value, judging the fault type, otherwise, judging the overload abnormal type.
Specifically, ucos phi is calculated to judge whether the abnormality is a fault or overload, if the abnormality is the fault, fault sections are cut off according to a standard to complete fault isolation, and if the abnormality is the overload, the terminal protection threshold value is further subjected to self-adaptive adjustment to prevent misoperation caused by great increase of current due to the overload.
As an alternative embodiment, in the process of adaptively adjusting the protection threshold of the terminal according to the current value, the protection threshold of the terminal may be set by the following formulaAnd (3) performing self-adaptive adjustment:
(8)
Wherein, The reliability coefficient is, for example, 1.2 to 1.5,、The current and voltage values of the target line are indicated.
According to the invention, through monitoring the change state of current data on a target line of the power distribution network in real time, when the change state reaches a preset starting condition, abnormal state self-healing control is started, in the abnormal state self-healing control process, positioning of an abnormal area and abnormal type identification are firstly carried out to determine whether a fault or overload condition exists, different actions are executed aiming at the fault and the overload condition, if the fault and the overload condition occur, fault isolation is controlled, and if the fault and overload condition occur, the self-adapting adjustment of the protection threshold is controlled, so that parameters of DFA protection can be adjusted in real time according to dynamic changes of loads, the operation safety of the system can be effectively ensured, the protection action can be timely executed when the fault occurs, the error protection action caused by the current amplitude change due to load fluctuation can be prevented, and the operation safety and stability of the power distribution network are ensured. The whole control process is simple to realize, complex data processing is not needed, and the control efficiency can be greatly improved.
The results obtained by adopting the method of the present invention in a specific application embodiment are shown in fig. 2, where I represents the monitored current, I h represents the protection threshold used in the control process of the present invention, and I h_old represents the protection threshold used in the conventional protection strategy. As can be seen from fig. 2, the protection threshold I h_old used in the conventional protection strategy has a coincidence point at a position where the value of the current I is large, so that there is a malfunction in the region, and the present invention can significantly increase the threshold at this position, thereby resisting the current amplitude variation caused by the load fluctuation, preventing the protection malfunction, and ensuring the reliability of DFAs.
The abnormal state self-healing control device of the distributed energy access power distribution network comprises:
the monitoring module is used for monitoring the change state of current data on a target line in the power distribution network;
the starting control module is used for starting abnormal state self-healing control when the change state of the current data is monitored to meet the preset starting condition;
And the self-healing control module is used for positioning an abnormal region and identifying an abnormal type according to current data monitored at present after starting the abnormal state self-healing control, controlling to perform fault isolation if the abnormal type is identified, and self-adaptively adjusting a protection threshold value of the terminal according to the current value monitored at present if the abnormal type is identified as overload abnormal type.
The abnormal state self-healing control device of the distributed energy access power distribution network and the abnormal state self-healing control method of the distributed energy access power distribution network are in one-to-one correspondence, and are not described in detail herein.
The present embodiment further provides a computer apparatus comprising a processor and a memory for storing a computer program for executing the computer program to perform a method as described above.
It will be understood that the method in this embodiment may be performed by a single device, for example, a computer or a server, or may be implemented by a plurality of devices in a distributed scenario, where one device of the plurality of devices may perform only one or more steps in the method in this embodiment, and the plurality of devices interact to implement the method. The processor may be implemented as a general-purpose CPU, a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, etc. for executing the relevant program to implement the methods described in this embodiment. The memory may be implemented in the form of read-only memory ROM, random access memory RAM, static storage devices, dynamic storage devices, etc. The memory may store an operating system and other application programs, and when the methods of the present embodiments are implemented in software or firmware, the associated program code is stored in the memory and invoked for execution by the processor.
The present embodiment further provides a computer readable storage medium storing a computer program which, when executed by a processor, implements a method as described above.
It will be appreciated by those skilled in the art that the above-described embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows 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 apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention shall fall within the scope of the technical solution of the present invention.
Claims (10)
1. The abnormal state self-healing control method for the distributed energy access power distribution network is characterized by comprising the following steps:
Monitoring the change state of current data on a target line in the power distribution network;
When the change state of the current data is monitored to meet the preset starting condition, starting abnormal state self-healing control;
After the abnormal state self-healing control is started, an abnormal area is positioned according to current data monitored currently, an abnormal type is identified, if the abnormal type is identified, fault isolation is controlled, and if the overload abnormal type is identified, the protection threshold value of the terminal is adjusted in a self-adaptive mode according to the current value monitored currently.
2. The method for self-healing an abnormal state of a distributed energy access power distribution network according to claim 1, wherein the preset starting condition comprises that the current variation exceeds a preset threshold value and the duration exceeds a specified duration.
3. The method for self-healing control of abnormal states of a distributed energy access power distribution network according to claim 1, wherein the locating the abnormal region according to the current data currently monitored comprises:
judging whether each node on the target line has overcurrent or not;
Judging whether the target node is positioned in an abnormal section according to the condition that whether the target node, upstream and downstream nodes of the target node and adjacent T nodes exist overcurrent or not, wherein the adjacent T nodes are adjacent nodes with the same upstream nodes as the target node;
and locating the different areas according to the abnormal state of each node.
4. The method for self-healing control of abnormal states of a distributed energy access power distribution network according to claim 3, wherein the defined nodes comprise three states of forward overcurrent, reverse overcurrent and no overcurrent, and whether a target node is located in an abnormal section is judged according to the following rule, if the node i is forward overcurrent and a downstream node D adjacent to the node i is forward overcurrent, the area where the node i is judged to be non-abnormal, otherwise, the area is judged to be abnormal, if the node i is reverse overcurrent and an upstream node U adjacent to the node i is reverse overcurrent starting or an adjacent T node of the node i is forward overcurrent starting, the area where the node i is judged to be non-abnormal, otherwise, the area is judged to be abnormal;
the step of locating the abnormal section according to the abnormal state of each node comprises the steps of judging the abnormal state of the node i, the upstream and downstream nodes of the node i and the abnormal state of the adjacent T node, and judging the abnormal section if the node i, the upstream and downstream nodes of the node i and the adjacent T node are abnormal.
5. The abnormal state self-healing control method of a distributed energy access power distribution network according to claim 3, wherein whether the node i is located in an abnormal section is judged according to the following formula:
,
,
,
Wherein, Representing the load current at node i,Representing the load current at the node downstream of node i,Representing the load current at the node upstream of node i,Representing load current at an adjacent T node having the same upstream node as node i;
Locating the anomaly region i-j according to:
,
,
,
Wherein, Represents the outliers of node i and the region where node i's upstream node and neighboring T nodes are located,Represents the outliers of the areas where node i and the nodes downstream of node i are located,An outlier representing the region in which node i-j is located,、AndThe abnormal judgment values corresponding to the node i, the upstream node u of the node i and the adjacent T node of the node i are respectively shown.
6. The self-healing control method for abnormal states of a distributed energy access power distribution network according to any one of claims 1 to 5, wherein identifying the abnormal type according to current data currently monitored includes:
from the current data currently monitored Where U represents the voltage value of the target line,Representing the phase difference of the voltage and the current;
If it is And if the fault type is smaller than the preset threshold value, judging the fault type, otherwise, judging the overload abnormal type.
7. The method for self-healing control of abnormal states of a distributed energy access power distribution network according to any one of claims 1 to 5, wherein the adaptively adjusting the protection threshold of the terminal according to the current value monitored currently comprises:
the protection threshold for the terminal is as follows And (3) performing self-adaptive adjustment:
,
Wherein, Is a coefficient of reliability and is used to determine the reliability,、Indicating the current and voltage values of the target line,Indicating the phase difference of the voltage and the current.
8. The utility model provides a distributed energy inserts distribution network abnormal state self-healing controlling means which characterized in that includes:
the monitoring module is used for monitoring the change state of current data on a target line in the power distribution network;
the starting control module is used for starting abnormal state self-healing control when the change state of the current data is monitored to meet the preset starting condition;
And the self-healing control module is used for positioning an abnormal region according to the current monitored current data and identifying an abnormal type after starting the abnormal state self-healing control, controlling to perform fault isolation if the abnormal type is identified, and self-adaptively adjusting the protection threshold of the terminal according to the current monitored current value if the abnormal type is identified as the overload abnormal type.
9. A computer device comprising a processor and a memory for storing a computer program, wherein the processor is configured to execute the computer program to perform the method of any of claims 1-7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the method of any one of claims 1-7.
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