A multi-level collaborative management method for distribution network voltage based on dynamic partitioning

Abstract

The present application relates to the technical field of voltage collaborative management, and particularly relates to a distribution network voltage multi-level collaborative management method based on dynamic partitioning, wherein the management method comprises: dividing the entire distribution network region into multiple sub-regions, collecting real-time operation data of each sub-region, performing abnormal region elimination based on the collected real-time operation data, and performing dynamic partitioning on the sub-regions after the abnormal region elimination by using a multi-layer iteration mechanism; detecting real-time operation data of each region after the partitioning, and determining a target region that needs to be subjected to voltage management; performing risk assessment on the target region, and performing voltage multi-level collaborative management according to the risk assessment result; the present application realizes mathematical verification of the dynamic partitioning result by introducing a geometric verification mechanism, and ensures rationality and reliability of the partitioning result; and by using a multi-level collaborative management mechanism and a risk level assessment technology, voltage collaborative management from a local to a global and from a single level to multiple levels is realized.

Description

Technical Field

[0001] This invention relates to the technical field of voltage collaborative management, specifically to a multi-level collaborative management method for distribution network voltage based on dynamic zoning. Background Technology

[0002] With the large-scale integration of renewable energy and distributed power sources, the operating status of distribution networks has become more volatile and complex, posing unprecedented challenges to voltage stability and control. Traditional distribution network voltage management methods typically rely on static network topology and historical operating data analysis and partitioning, lacking the ability to dynamically respond to real-time operating conditions, and still face the following challenges:

[0003] Traditional zoning methods are mostly one-time or offline calculations, which cannot be dynamically adjusted according to real-time changes in grid load, distributed power generation output, etc., resulting in a large deviation between the zoning results and the actual situation, making it difficult to guide effective voltage control;

[0004] Without effective mathematical or geometric verification methods to assess the correctness and rationality of the zoning and governance results, it is difficult to evaluate the actual effect of the control strategy and form a closed-loop optimization, and the reliability and robustness of the system cannot be guaranteed. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides the following technical solution: a multi-level collaborative governance method for distribution network voltage based on dynamic zoning, comprising the following steps:

[0006] Dynamic zoning is performed based on real-time distribution network operation data, specifically as follows:

[0007] The entire distribution network area is divided into multiple sub-regions, and real-time operational data is collected for each sub-region. Based on this collected data, abnormal regions are removed. A multi-layered iterative mechanism is then used to dynamically partition the remaining sub-regions after the abnormal region removal process. This also includes…

[0008] By constructing feature vectors and performing initial partitioning of distribution network voltage based on graph structure analysis model, and introducing an event triggering mechanism for secondary partitioning of distribution network voltage, the dynamic partitioning results of distribution network voltage are geometrically verified using a geometric verification mechanism.

[0009] For the distribution network voltage that has completed zoning, multi-level coordinated voltage management is implemented, specifically as follows:

[0010] The system detects real-time operating data of each region after partitioning and identifies target regions that require voltage management. It then conducts risk assessments on these target regions and, based on the risk assessment results, sequentially performs counterbalancing management within each region. The management results are then used to construct an initial result set. Simultaneously, the system determines whether voltage management in the target regions is complete and performs cross-regional collaborative management on target regions that have not yet completed management.

[0011] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the abnormal area removal based on collected real-time operating data is specifically as follows:

[0012] Calculate the index sequence number of the sub-region in the dataset sequentially. Sub-regions, the first Sub-regions and the first The cosine similarity between real-time data from each sub-region is used to make an initial judgment on outlier regions, specifically:

[0013] Set a threshold for judging cosine similarity in abnormal regions. and according to the first Sub-regions and the first Cosine similarity between real-time data of each sub-region , No. Sub-regions and the first Cosine similarity between real-time data of each sub-region and the Sub-regions and the first Cosine similarity between real-time data of each sub-region The results of the comparison between the two are used to make an initial judgment on the abnormal area.

[0014] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the initial partitioning of distribution network voltage based on the graph structure analysis model is as follows:

[0015] Construct voltage feature vectors for each voltage level region and voltage feature vectors for each sub-region;

[0016] The voltage feature vectors corresponding to all sub-regions are used as a data node in the graph structure analysis model, and a set of data nodes for graph structure analysis is constructed. At the same time, the voltage feature vectors corresponding to different levels of regions in the benchmark control group are constructed as data nodes to be paired.

[0017] For all nodes in the data node set of the graph structure analysis model, the edge connection relationship between all nodes in the data node set and the data nodes to be paired is determined sequentially according to the node order. Based on the pairing results, the initial partitioning of the distribution network voltage is performed.

[0018] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the determination of the edge connection relationships between all nodes in the data node set and the data nodes to be paired is specifically as follows:

[0019] Set edge connection relationships to determine thresholds If the calculated Euclidean distance and the set edge connectivity threshold are compared, they satisfy the formula... , then it represents a node , with nodes If an edge connection can be established between nodes, then the nodes are considered to be connected. The corresponding sub-region belongs to the node The corresponding voltage level region; otherwise, it means that an edge connection relationship cannot be established. If a node in the data node set cannot establish an edge connection relationship with any node in the paired data set, it means that the sub-region corresponding to the data node in the current data node set is a data anomaly region.

[0020] If a node can establish an edge connection relationship with multiple nodes in the data nodes to be paired, calculate the length of each edge, and divide the current node in the data node set into the data nodes to be paired with the shortest edge, and the corresponding voltage level region;

[0021] The edge connection relationships between all nodes in the data node set and the data nodes to be paired are determined in turn. Based on the determined edge connection relationships, the initial partitioning of the distribution network voltage is completed.

[0022] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the specific steps of introducing an event-triggered mechanism for secondary partitioning of the distribution network voltage are as follows:

[0023] Based on the real-time operating data of each sub-region in each level region from the initial partitioning results, the real-time operating data of each sub-region is sequentially compared with the trigger voltage of different level events. By comparing the results, and then performing secondary zoning of the distribution network voltage, we have:

[0024] If the first voltage level region is the Average operating voltage corresponding to each sub-region , and the first-level event trigger voltage The comparison satisfies the formula If the initial partitioning result is incorrect, it indicates that the current sub-region's classification within the first-level voltage level region is inaccurate. The current sub-region is then reclassified to the second-level voltage level region, and its accuracy is verified based on the second-level event trigger voltage. If the comparison result of the second-level event trigger voltage still indicates that the current sub-region's classification is inaccurate, the comparison continues with the event trigger voltage corresponding to the next lower level until the comparison result satisfies the formula. If the subregion is fully partitioned, then the secondary partitioning of the current subregion is complete.

[0025] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the method of using a geometric verification mechanism to perform geometric verification on the dynamic partitioning results of the distribution network voltage is as follows:

[0026] Based on the dynamic zoning results of the distribution network voltage, an arbitrary voltage level region is selected from the three voltage level regions. Then, three non-collinear data nodes are selected from the selected voltage region. Finally, based on the selected data nodes, geometric verification of the dynamic zoning results of the distribution network voltage is performed. Specifically:

[0027] Based on the three non-collinear data nodes selected, a unique circle is determined, and the geometric area of ​​the unique circle is calculated. The calculated geometric area is compared with the area of ​​the voltage level region. Based on the comparison results, the dynamic zoning results of the distribution network voltage are geometrically verified.

[0028] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the determination of the unique circle is specifically as follows:

[0029] The selected voltage region is set as a first-level voltage region, and the area of ​​the first-level voltage region is... Three data nodes corresponding to three sub-regions are randomly selected from the first-level voltage region. , as well as And set the coordinates corresponding to the three data nodes as , as well as ;

[0030] Based on the coordinates of the data nodes, to determine a unique circle that passes through all three data nodes simultaneously, we have:

[0031] Set the center coordinates of the circles respectively and radius And based on the coordinates corresponding to the data nodes, construct a system of equations relating the center coordinates and the radius, then we have,

[0032]

[0033] in, Represents data nodes coordinates Represents data nodes coordinates Represents data nodes coordinates The center of a unique circle is represented by , and the radius of the unique circle is represented by .

[0034] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the geometric verification of the dynamic partitioning results of the distribution network voltage based on the comparison results is specifically as follows:

[0035] Based on the constructed system of correlation equations, the area of ​​the unique circle is calculated, and we have:

[0036]

[0037] in, Represents pi (π). Represents the radius of a definite and unique circle. This represents the area of ​​the unique circle being calculated, used for geometric verification of dynamic partitioning, specifically:

[0038] If the area of ​​the unique circle and the area of ​​the first-level voltage region satisfy the formula If the area of ​​the first-level voltage region in the dynamic partitioning result exceeds the area of ​​the internal sub-regions, then the geometric verification of the dynamic partitioning is passed.

[0039] If the area of ​​the unique circle and the area of ​​the first-level voltage region satisfy the formula If the area of ​​the primary voltage region in the dynamic partitioning result is smaller than the area of ​​the internal sub-regions, then the geometric verification of the dynamic partitioning fails. In this case, all sub-regions in the primary voltage region will be dynamically partitioned again, and the partitioning result will be geometrically verified until the result of the re-partitioning passes the geometric verification. This indicates that the partitioning of the distribution network voltage is complete.

[0040] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic partitioning described in this invention, the internal offset governance within the execution area is specifically as follows:

[0041] For sub-regions that are not operating normally, voltage control is implemented through an internal counterbalancing strategy, specifically:

[0042]

[0043] in, , Indicates the adjustment factor. Indicates to the first Reactive power regulation allocated to each sub-region Indicates to the first Number of transformer tap adjustment steps in each sub-region Indicates the first Voltage regulation in each sub-region;

[0044] Based on the voltage regulation amount of each sub-region, an initial result set of voltage governance is constructed, then we have:

[0045]

[0046] in, Indicates the first Voltage regulation of each sub-region Indicates the first Voltage regulation of each sub-region This represents the initial result set of voltage regulation, which is a set consisting of the voltage regulation values ​​of all sub-regions.

[0047] As a preferred embodiment of the multi-level collaborative governance method for distribution network voltage based on dynamic zoning described in this invention, the cross-regional collaborative governance of the target area that has not yet been governed is specifically as follows:

[0048] Based on the initial result set The average voltage of the target area is recalculated, and based on the recalculated average voltage, it is determined whether the voltage control of the target area is complete.

[0049] If the calculated average voltage exceeds the corresponding abnormal voltage threshold, it indicates that voltage management in the target area is incomplete, and a cross-regional collaborative management strategy is used to manage the voltage.

[0050] Based on the constructed second-generation voltage governance results, these results are used as the operating voltage of the target region. The operating voltage of the target region is then evenly distributed to each sub-region within the target region until the voltage deviation of the distributed sub-regions is reached. With voltage deviation threshold The comparison satisfies the formula If the voltage regulation in the target area is completed, then the voltage regulation of the distribution network is completed.

[0051] The beneficial effects of this invention are:

[0052] This invention achieves accurate identification and rapid removal of abnormal areas in the power distribution network by employing dynamic partitioning based on real-time operating data and cosine similarity anomaly judgment technology, thereby improving partitioning accuracy and system reliability.

[0053] By adopting a graph structure analysis model and event-driven secondary partitioning technology, dynamic and multi-level partitioning of distribution network voltage levels was achieved, enhancing the adaptability of partitioning to real-time operating conditions.

[0054] By introducing a geometric verification mechanism, mathematical verification of the dynamic partitioning results is achieved, ensuring the rationality and credibility of the partitioning results.

[0055] By adopting a multi-level collaborative governance mechanism and risk level assessment technology, voltage collaborative governance from local to global and from single-level to multi-level has been achieved, significantly improving voltage quality and system stability.

[0056] By constructing the first-generation and second-generation voltage management result sets and combining them with cross-regional power support strategies, rapid and effective management of high-deviation areas was achieved, improving the power grid's ability to cope with abnormal voltages. Attached Figure Description

[0057] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0058] Figure 1 This is a flowchart of the overall method steps of a multi-level collaborative governance method for distribution network voltage based on dynamic partitioning according to the present invention. Detailed Implementation

[0059] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0060] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0061] Example 1

[0062] Reference Figure 1 This is the first embodiment of the present invention, which provides a multi-level collaborative governance method for distribution network voltage based on dynamic partitioning, including the following steps:

[0063] S1: Dynamic partitioning based on real-time operation data of the distribution network.

[0064] Specifically, the dynamic zoning based on real-time distribution network operation data involves dividing the entire distribution network area into multiple sub-regions, collecting real-time power grid operation data within each sub-region using sensors, and then dynamically zoning the distribution network voltage based on the collected real-time operation data. The specific implementation is as follows:

[0065] The entire distribution network area is divided into For each sub-region, there are, ,in, This represents the first sub-region. Represents the i-th subregion, This represents the total number of sub-regions, which is set by the implementers based on the actual application scenario. Indicates the distribution network area;

[0066] Based on the divided sub-regions, real-time operational data for each sub-region is collected using sensors. Therefore,

[0067] Set the number of data sensors to If all the real-time operational data collected by the sensors are combined into a distribution network real-time operational data set, then we have:

[0068]

[0069] in, This represents the real-time operation data of the distribution network collected by the first sensor, which is the real-time operation data corresponding to the first sub-area. Indicates the first The real-time operational data collected by the sensor is for the first... Real-time operational data corresponding to each sub-region This indicates the total number of sub-regions. This represents the set of real-time operational data for the constructed distribution network.

[0070] Based on the real-time operational data of each sub-region in the dataset, an initial judgment of abnormal regions is made, as follows:

[0071] Calculate the index sequence number of the sub-region in the dataset sequentially. Sub-regions, the first Sub-regions and the first The cosine similarity between real-time data from each sub-region is used to make an initial judgment on outlier regions, specifically:

[0072] Set a threshold for judging cosine similarity in abnormal regions. and according to the first Sub-regions and the first Cosine similarity between real-time data of each sub-region , No. Sub-regions and the first Cosine similarity between real-time data of each sub-region and the Sub-regions and the first Cosine similarity between real-time data of each sub-region The initial judgment of abnormal regions is made by comparing the results between them.

[0073] If the comparison results satisfy the formula Then it means the first Sub-regions and the first Sub-regions and the first The sub-regions do not belong to the same level of region;

[0074] If the comparison results satisfy the formula But the first Real-time operating data of each sub-region and the first The cosine similarity between the real-time running data of each sub-region satisfies the formula... If , it indicates that the i-th sub-region is a real-time data anomaly region, but the i-th sub-region is a real-time data anomaly region. Sub-regions and the first Each sub-region belongs to the same level of region.

[0075] It should be noted that the cosine similarity between all sub-regions is calculated sequentially, and the identified abnormal regions in real-time operating data are removed from the sub-regions. Based on the remaining sub-regions after the abnormal regions have been removed, the distribution network voltage is dynamically partitioned.

[0076] Furthermore, the dynamic partitioning of distribution network voltage based on collected real-time operational data is based on the real-time operational data corresponding to the remaining sub-regions after the abnormal regions have been removed. A multi-layer iterative mechanism is used to dynamically partition the distribution network voltage. The specific implementation process is as follows:

[0077] Based on historical operational data in the database, a dynamic zoning benchmark control group for distribution network voltage was constructed.

[0078] ,in, This indicates the first-level voltage region. Indicates the second-level voltage region. This indicates a three-level voltage region. The reference control group for dynamic zoning of distribution network voltage is constructed. The number of voltage regions of different levels in the reference control group is set by the implementer according to the actual application. In this embodiment, only three voltage regions of different levels are described, and the number of levels is not limited in actual application.

[0079] Based on the different voltage levels in the constructed dynamic zoning benchmark control group for distribution network voltage, the initial zoning of distribution network voltage is carried out, as follows:

[0080] Based on the three different voltage levels in the benchmark control group, the operating data corresponding to the three different voltage levels are extracted, and the voltage feature vector corresponding to each voltage level is constructed. Then, we have...

[0081]

[0082] in, Indicates the first The feature vectors corresponding to each voltage level region Indicates the first The average voltage in the eigenvector corresponding to each voltage level region. Indicates the first The voltage difference in the eigenvectors corresponding to each voltage level region Indicates the first The minimum voltage value in the eigenvector corresponding to each voltage level region. Indicates the first The maximum voltage value in the eigenvector corresponding to each voltage level region. Indicates the grade index sequence number;

[0083] Based on the real-time operating data in the remaining sub-regions after the abnormal regions have been removed, a voltage feature vector is constructed for each sub-region. Then, we have...

[0084]

[0085] in, Indicates the first Voltage feature vectors corresponding to each sub-region Indicates the first The average voltage in the voltage feature vector corresponding to each sub-region Indicates the first The voltage difference in the voltage feature vector corresponding to each sub-region Indicates the first The minimum voltage value in the voltage feature vector corresponding to each sub-region. Indicates the first The maximum voltage value in the voltage feature vector corresponding to each sub-region. This indicates the total number of sub-regions. This indicates the total number of abnormal regions removed. Indicates the sub-region index sequence number.

[0086] Based on the constructed feature vectors, a graph structure analysis model is used to perform the initial partitioning of the distribution network voltage, specifically:

[0087] By taking the voltage feature vectors corresponding to all sub-regions as data nodes in the graph structure analysis model and constructing a set of data nodes for graph structure analysis, and simultaneously constructing the voltage feature vectors corresponding to different levels of regions in the benchmark control group as data nodes to be paired, we have:

[0088]

[0089]

[0090] in, This represents the first data node in the set of data nodes. Represents the first in the set of data nodes One data node, This represents the total number of nodes in the data node set. Represents the collection of data nodes to be constructed. This represents the set of data nodes to be paired. This represents the data nodes to be paired within the set of data nodes to be paired, corresponding to the first-level voltage region. This represents the data nodes to be paired corresponding to the secondary voltage region in the set of data nodes to be paired. This represents the data nodes to be paired corresponding to the three-level voltage region in the set of data nodes to be paired.

[0091] The initial partitioning of the distribution network voltage is performed based on the edge connections between data nodes, specifically as follows:

[0092] For all nodes in the data node set of the graph structure analysis model, the edge connections between each node in the data node set and the data nodes to be paired are determined sequentially according to the node order. Based on the pairing results, the initial partitioning of the distribution network voltage is performed, then...

[0093] For any node in the data node set If a node can be paired with any of the data nodes to be paired To establish an edge connection, the current node in the data node set belongs to the data node to be paired, corresponding to the voltage level region. Therefore, we have...

[0094] The Euclidean distance between nodes is determined by calculating the second normal form of the difference between the eigenvectors corresponding to the two nodes, specifically:

[0095]

[0096] in, Represents a node The corresponding feature vector, Represents a node The corresponding feature vector, This represents the Euclidean distance between two nodes, used to determine edge connectivity. Specifically:

[0097] Set edge connection relationships to determine thresholds If the calculated Euclidean distance and the set edge connectivity threshold are compared, they satisfy the formula... , then it represents a node , with nodes If an edge connection can be established between nodes, then the nodes are considered to be connected. The corresponding sub-region belongs to the node The corresponding voltage level region; otherwise, it means that an edge connection relationship cannot be established. If a node in the data node set cannot establish an edge connection relationship with any node in the paired data set, it means that the sub-region corresponding to the data node in the current data node set is a data anomaly region.

[0098] If a node can establish an edge connection relationship with multiple nodes in the data nodes to be paired, calculate the length of each edge, and divide the current node in the data node set into the data nodes to be paired with the shortest edge, and the corresponding voltage level region;

[0099] The edge connection relationships between all nodes in the data node set and the data nodes to be paired are determined in turn. Based on the determined edge connection relationships, the initial partitioning of the distribution network voltage is completed.

[0100] Furthermore, for the sub-regions within all voltage level regions after the initial zoning of the distribution network voltage, a secondary zoning of the distribution network voltage is performed by introducing an event-driven mechanism, as follows:

[0101] Define an event set and set corresponding event trigger conditions for each event in the event set. At the same time, detect the real-time operating data of sub-regions in all voltage levels after the initial partitioning, and perform secondary partitioning of the distribution network voltage based on the triggered events. The specific implementation is as follows:

[0102] Based on three level regions, a corresponding voltage level event is defined for each level region, including a first-level voltage event region, a second-level voltage event region, and a third-level voltage event region. The trigger voltage of each voltage event region increases with the increase of the level.

[0103] Based on the different event levels set, and according to the real-time operating data of each sub-region in each level region of the initial partitioning results, a secondary partitioning of the distribution network voltage is performed, specifically as follows:

[0104] Based on the real-time operating data of each sub-region in each level region from the initial partitioning results, the real-time operating data of each sub-region is sequentially compared with the trigger voltage of different level events. By comparing the results, and then performing secondary zoning of the distribution network voltage, we have:

[0105] If the first voltage level region is the The average operating voltage corresponding to each sub-region, when compared with the first-level event trigger voltage, satisfies the formula... If the initial partitioning result is incorrect, it indicates that the current sub-region's classification within the first-level voltage level region is inaccurate. The current sub-region is then reclassified to the second-level voltage level region, and its accuracy is verified based on the second-level event trigger voltage. If the comparison result of the second-level event trigger voltage still indicates that the current sub-region's classification is inaccurate, the comparison continues with the event trigger voltage corresponding to the next lower level until the comparison result satisfies the formula. If the subregion is fully partitioned, then the secondary partitioning of the current subregion is complete.

[0106] It should be noted that for all sub-regions in each voltage level area in the initial partitioning, a secondary partitioning verification is performed until all sub-regions have completed the secondary partitioning, which indicates that the secondary partitioning of the distribution network voltage is complete.

[0107] Furthermore, a geometric verification mechanism is used to perform geometric verification on the dynamic zoning results of the distribution network voltage to ensure the accuracy of the dynamic zoning. The specific verification process is as follows:

[0108] Based on the dynamic zoning results of the distribution network voltage, an arbitrary voltage level region is selected from the three voltage level regions. Then, three non-collinear data nodes are selected from the selected voltage region. Finally, based on the selected data nodes, geometric verification of the dynamic zoning results of the distribution network voltage is performed. Specifically:

[0109] The selected voltage region is set as a first-level voltage region, and the area of ​​the first-level voltage region is... Three data nodes corresponding to three sub-regions are randomly selected from the first-level voltage region. , as well as And set the coordinates corresponding to the three data nodes as , as well as The coordinate relationships between data nodes are constrained by limiting equations, as follows:

[0110]

[0111] in, Represents data nodes coordinates Represents data nodes coordinates Represents data nodes The coordinates;

[0112] Using the three selected data nodes, a geometric verification of the dynamic partitioning results is performed, specifically as follows:

[0113] Based on the coordinates of the data nodes, a unique circle passing through all three data nodes is determined, and its area is calculated. Based on the calculated area, the dynamic partitioning result is geometrically verified. Then, we have...

[0114] Based on three non-collinear data nodes, a unique circle is determined, then we have:

[0115] Set the center coordinates of the circles respectively and radius And based on the coordinates corresponding to the data nodes, construct a system of equations relating the center coordinates and the radius, then we have,

[0116]

[0117] in, Represents data nodes coordinates Represents data nodes coordinates Represents data nodes coordinates The center of a unique circle is represented by , and the radius of the unique circle is represented by .

[0118] Based on the constructed system of correlation equations, the area of ​​the unique circle is calculated, and we have:

[0119]

[0120] in, Pi is represented by 3.14 in this embodiment. Represents the radius of a definite and unique circle. This represents the area of ​​the unique circle being calculated, used for geometric verification of dynamic partitioning, specifically:

[0121] If the area of ​​the unique circle and the area of ​​the first-level voltage region satisfy the formula If the area of ​​the first-level voltage region in the dynamic partitioning result exceeds the area of ​​the internal sub-regions, then the geometric verification of the dynamic partitioning is passed.

[0122] If the area of ​​the unique circle and the area of ​​the first-level voltage region satisfy the formula If the area of ​​the primary voltage region in the dynamic partitioning result is smaller than the area of ​​the internal sub-regions, then the geometric verification of the dynamic partitioning fails. In this case, all sub-regions in the primary voltage region will be dynamically partitioned again, and the partitioning result will be geometrically verified until the result of the re-partitioning passes the geometric verification. This indicates that the partitioning of the distribution network voltage is complete.

[0123] S2: Based on the distribution network voltage after zoning, multi-level collaborative governance is carried out.

[0124] Specifically, the multi-level collaborative governance involves monitoring the real-time operational data of each zone within the partitioned area, determining the target areas requiring voltage management based on the monitoring results, and then managing the distribution network voltage through a multi-level collaborative governance mechanism based on the determined target areas. The specific implementation is as follows:

[0125] Set the abnormal voltage threshold for each level area. , as well as Furthermore, the abnormal voltage threshold for each level region is greater than the event trigger voltage corresponding to that level region. Based on the set abnormal voltage threshold, the target region requiring voltage management is determined, specifically:

[0126] If the first The average voltage in the feature vector corresponding to each voltage level region Exceeding the number Abnormal voltage thresholds corresponding to each voltage level region This indicates that the current voltage level area is the target area that needs voltage regulation.

[0127] Based on the defined target area, a voltage risk level assessment is conducted using the average voltage data from the voltage feature vectors of each sub-region within the target area. Specifically:

[0128] Set the rated voltage of the distribution network to Simultaneously, based on the average voltage data in the voltage characteristic phasors corresponding to each sub-region, the voltage deviation of each sub-region is calculated, specifically as follows:

[0129]

[0130] in, This indicates the rated voltage of the distribution network, which is set by the implementers based on the actual application scenario. Indicates the first The average voltage in the voltage characteristic phasors corresponding to each sub-region Indicates the first The voltage deviation of each sub-region at the current moment is used for risk level assessment, as detailed below:

[0131] Set voltage deviation threshold as well as And by combining the voltage deviations corresponding to each sub-region for risk level assessment, we have:

[0132] If the calculated voltage deviation satisfies the formula This indicates that the current sub-region's risk level is normal operation;

[0133] If the calculated voltage deviation satisfies the formula This indicates that the current sub-region's risk level is Level 1.

[0134] If the calculated voltage deviation satisfies the formula If , it means that the current sub-region's risk level is level two.

[0135] Based on the determined risk level, a multi-level collaborative governance mechanism is used to manage distribution network voltage, as detailed below:

[0136] For sub-regions experiencing abnormal operation, voltage control is implemented through an internal counterbalancing strategy, specifically:

[0137] Voltage management can be achieved by adjusting the reactive power regulation of distributed power sources and the rapid charging and discharging of energy storage. Therefore,

[0138]

[0139] in, , This indicates the adjustment factor, which is set by the implementers based on the actual application scenario. Indicates to the first Reactive power regulation allocated to each sub-region Indicates to the first Number of transformer tap adjustment steps in each sub-region Indicates the first Voltage regulation in each sub-region;

[0140] Based on the voltage regulation amount of each sub-region, an initial result set of voltage governance is constructed, then we have:

[0141]

[0142] in, Indicates the first Voltage regulation of each sub-region Indicates the first Voltage regulation of each sub-region This represents the initial result set of voltage regulation, which is a set consisting of the voltage regulation values ​​of all sub-regions.

[0143] Based on the constructed initial result set, determine whether voltage management in the target region is complete, as follows:

[0144] Based on the initial result set The average voltage of the target area is recalculated, and based on the recalculated average voltage, it is determined whether the voltage control of the target area is complete.

[0145] If the calculated average voltage exceeds the corresponding abnormal voltage threshold, it indicates that voltage management in the target area is incomplete. A cross-regional collaborative management strategy will then be used for voltage management, specifically:

[0146]

[0147] in, Indicates from the first The active power output from the graded area to the target area. Indicates from the first The reactive power output from the graded area to the target area. , This represents the weighting coefficient, which is set by the implementers based on the actual application scenario. Representing the cross-regional input quantity, used to construct the second-generation voltage governance result set, then we have,

[0148]

[0149] in, This represents the result set of second-generation voltage management, used for distribution network voltage management, specifically:

[0150] Based on the constructed second-generation voltage management results, these results are used as the operating voltage of the target region. The operating voltage of the target region is then evenly distributed to each sub-region within the target region until the voltage deviation of the distributed sub-regions satisfies the formula. If the voltage regulation in the target area is completed, then the voltage regulation of the distribution network is completed.

[0151] Furthermore, if the aforementioned function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0152] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0153] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0154] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A multi-level collaborative governance method for distribution network voltage based on dynamic zoning, characterized in that: Includes the following steps, Dynamic zoning is performed based on real-time distribution network operation data, specifically as follows: The entire distribution network area is divided into multiple sub-regions, and real-time operational data is collected for each sub-region. Based on this collected data, abnormal regions are removed. A multi-layered iterative mechanism is then used to dynamically partition the remaining sub-regions after the abnormal region removal process. This also includes… By constructing feature vectors and performing initial partitioning of distribution network voltage based on graph structure analysis model, and introducing an event triggering mechanism for secondary partitioning of distribution network voltage, the dynamic partitioning results of distribution network voltage are geometrically verified using a geometric verification mechanism. For the distribution network voltage that has completed zoning, multi-level coordinated voltage management is implemented, specifically as follows: The system detects real-time operating data of each region after partitioning and identifies target regions that require voltage management. It then conducts risk assessments on these target regions and, based on the risk assessment results, sequentially performs counterbalancing management within each region. The management results are then used to construct an initial result set. Simultaneously, the system determines whether voltage management in the target regions is complete and performs cross-regional collaborative management on target regions that have not yet completed management. The specific hedging measures within the execution area are as follows: For sub-regions that are not operating normally, voltage control is implemented through an internal counterbalancing strategy, specifically: in, , Indicates the adjustment factor. Indicates to the first Reactive power regulation allocated to each sub-region Indicates to the first Number of transformer tap adjustment steps in each sub-region Indicates the first Voltage regulation in each sub-region; Based on the voltage regulation amount of each sub-region, an initial result set of voltage governance is constructed, then we have: in, Indicates the first Voltage regulation of each sub-region Indicates the first Voltage regulation of each sub-region This represents the initial result set of voltage regulation, which is a set consisting of the voltage regulation values ​​of all sub-regions.

2. The method for multi-level collaborative management of distribution network voltage based on dynamic partitioning as described in claim 1, characterized in that: The abnormal region removal based on the collected real-time operational data is as follows: Calculate the index sequence number of the sub-region in the dataset sequentially. Sub-regions, the first Sub-regions and the first The cosine similarity between real-time data from each sub-region is used to make an initial judgment on outlier regions, specifically: Set a threshold for judging cosine similarity in abnormal regions. and according to the first Sub-regions and the first Cosine similarity between real-time data of each sub-region , No. Sub-regions and the first Cosine similarity between real-time data of each sub-region and the Sub-regions and the first Cosine similarity between real-time data of each sub-region The results of the comparison between the two are used to make an initial judgment on the abnormal area.

3. The method for multi-level coordinated management of distribution network voltage based on dynamic partitioning as described in claim 2, characterized in that: The initial zoning of distribution network voltage based on the graph structure analysis model is as follows: Construct voltage feature vectors for each voltage level region and voltage feature vectors for each sub-region; The voltage feature vectors corresponding to all sub-regions are used as a data node in the graph structure analysis model, and a set of data nodes for graph structure analysis is constructed. At the same time, the voltage feature vectors corresponding to different levels of regions in the benchmark control group are constructed as data nodes to be paired. For all nodes in the data node set of the graph structure analysis model, the edge connection relationship between all nodes in the data node set and the data nodes to be paired is determined sequentially according to the node order. Based on the pairing results, the initial partitioning of the distribution network voltage is performed.

4. The method for multi-level coordinated management of distribution network voltage based on dynamic partitioning as described in claim 3, characterized in that: The determination of the edge connection relationships between all nodes in the data node set and the data node to be paired is as follows: Set edge connection relationships to determine thresholds If the calculated Euclidean distance and the set edge connectivity threshold are compared, they satisfy the formula... , then it represents a node , with nodes If an edge connection can be established between nodes, then the nodes are considered to be connected. The corresponding sub-region belongs to the node The corresponding voltage level region; otherwise, it means that an edge connection relationship cannot be established. If a node in the data node set cannot establish an edge connection relationship with any node in the paired data set, it means that the sub-region corresponding to the data node in the current data node set is a data anomaly region. If a node can establish an edge connection relationship with multiple nodes in the data nodes to be paired, calculate the length of each edge, and divide the current node in the data node set into the data nodes to be paired with the shortest edge, and the corresponding voltage level region; The edge connection relationships between all nodes in the data node set and the data nodes to be paired are determined in turn. Based on the determined edge connection relationships, the initial partitioning of the distribution network voltage is completed.

5. The method for multi-level coordinated management of distribution network voltage based on dynamic partitioning as described in claim 4, characterized in that: The specific details of introducing an event-triggered mechanism for secondary zoning of distribution network voltage are as follows: Based on the real-time operating data of each sub-region in each level region from the initial partitioning results, the real-time operating data of each sub-region is sequentially compared with the trigger voltage of different level events. By comparing the results, and then performing secondary zoning of the distribution network voltage, we have: If the first voltage level region is the Average operating voltage corresponding to each sub-region , and the first-level event trigger voltage The comparison satisfies the formula If the initial partitioning result is incorrect, it indicates that the current sub-region's classification within the first-level voltage level region is inaccurate. The current sub-region is then reclassified to the second-level voltage level region, and its accuracy is verified based on the second-level event trigger voltage. If the comparison result of the second-level event trigger voltage still indicates that the current sub-region's classification is inaccurate, the comparison continues with the event trigger voltage corresponding to the next lower level until the comparison result satisfies the formula. If the subregion is fully partitioned, then the secondary partitioning of the current subregion is complete.

6. The method for multi-level collaborative management of distribution network voltage based on dynamic partitioning as described in claim 5, characterized in that: The geometric verification mechanism is used to perform geometric verification on the dynamic zoning results of the distribution network voltage, as detailed below: Based on the dynamic zoning results of the distribution network voltage, an arbitrary voltage level region is selected from the three voltage level regions. Then, three non-collinear data nodes are selected from the selected voltage region. Finally, based on the selected data nodes, geometric verification of the dynamic zoning results of the distribution network voltage is performed. Specifically: Based on the three non-collinear data nodes selected, a unique circle is determined, and the geometric area of ​​the unique circle is calculated. The calculated geometric area is compared with the area of ​​the voltage level region. Based on the comparison results, the dynamic zoning results of the distribution network voltage are geometrically verified.

7. The method for multi-level collaborative management of distribution network voltage based on dynamic partitioning as described in claim 6, characterized in that: The specific steps for determining a unique circle are as follows: The selected voltage region is set as a first-level voltage region, and the area of ​​the first-level voltage region is... Three data nodes corresponding to three sub-regions are randomly selected from the first-level voltage region. , as well as And set the coordinates corresponding to the three data nodes as , as well as ; Based on the coordinates of the data nodes, to determine a unique circle that passes through all three data nodes simultaneously, we have: Set the center coordinates of the circles respectively and radius And based on the coordinates corresponding to the data nodes, construct a system of equations relating the center coordinates and the radius, then we have, in, Represents data nodes coordinates Represents data nodes coordinates Represents data nodes coordinates The center of a unique circle is represented by , and the radius of the unique circle is represented by .

8. The method for multi-level collaborative management of distribution network voltage based on dynamic zoning as described in claim 7, characterized in that: The geometric verification of the dynamic zoning results of the distribution network voltage based on the comparison results is as follows: Based on the constructed system of correlation equations, the area of ​​the unique circle is calculated, and we have: in, Represents pi (π). Represents the radius of a definite and unique circle. This represents the area of ​​the unique circle being calculated, used for geometric verification of dynamic partitioning, specifically: If the area of ​​the unique circle and the area of ​​the first-level voltage region satisfy the formula If the area of ​​the first-level voltage region in the dynamic partitioning result exceeds the area of ​​the internal sub-regions, then the geometric verification of the dynamic partitioning is passed. If the area of ​​the unique circle and the area of ​​the first-level voltage region satisfy the formula If the area of ​​the primary voltage region in the dynamic partitioning result is smaller than the area of ​​the internal sub-regions, then the geometric verification of the dynamic partitioning fails. In this case, all sub-regions in the primary voltage region will be dynamically partitioned again, and the partitioning result will be geometrically verified until the result of the re-partitioning passes the geometric verification. This indicates that the partitioning of the distribution network voltage is complete.

9. The method for multi-level collaborative management of distribution network voltage based on dynamic partitioning as described in claim 8, characterized in that: The specific details of cross-regional collaborative governance of target areas that have not yet been governed are as follows: Based on the initial result set The average voltage of the target area is recalculated, and based on the recalculated average voltage, it is determined whether the voltage control of the target area is complete. If the calculated average voltage exceeds the corresponding abnormal voltage threshold, it indicates that voltage management in the target area is incomplete, and a cross-regional collaborative management strategy is used to manage the voltage. Based on the constructed second-generation voltage governance results, these results are used as the operating voltage of the target region. The operating voltage of the target region is then evenly distributed to each sub-region within the target region until the voltage deviation of the distributed sub-regions is reached. With voltage deviation threshold The comparison satisfies the formula If the voltage regulation in the target area is completed, then the voltage regulation of the distribution network is completed.

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