CN-121663538-B - Source network load storage collaboration method

CN121663538BCN 121663538 BCN121663538 BCN 121663538BCN-121663538-B

Abstract

The invention relates to the technical field of source network charge storage and discloses a source network charge storage collaborative method which comprises the steps of dividing an electric power network into a plurality of basic control areas, evaluating first electric coupling strength indexes between the basic control areas and adjacent areas of the basic control areas, forming a collaborative control group by the associated basic control areas if the first electric coupling strength indexes are larger than or equal to a coupling threshold value in a first duration, selecting an area coordinated controller as a main controller of the collaborative control group, evaluating second electric coupling strength indexes among the basic control areas in the collaborative control group, and releasing the collaborative control group if the second electric coupling strength indexes among the areas are smaller than the coupling threshold value in a second duration, so that each basic control area is switched back to an operation mode independently managed by the configured area coordinated controller. The source network load storage cooperative method realizes cooperative control by monitoring the coupling strength between the areas in real time.

Inventors

XU ZHENBO
SONG ZHIBIN
WANG ZHENG
ZHANG XIANGYU
QIU JUE
SHI ZHENG

Assignees

国网山西省电力有限公司经济技术研究院

Dates

Publication Date: 20260508
Application Date: 20260206

Claims (8)

1. The source network load storage cooperative method is characterized by comprising the following steps of: dividing an electric power network into a plurality of basic control areas, configuring an area coordination controller for each basic control area, and evaluating a first electric coupling strength index between the managed basic control area and an adjacent area by using the area coordination controller; if the first electric coupling strength index is more than or equal to the coupling threshold value in the first duration, forming a cooperative control group by the associated basic control area, and selecting an area cooperative controller as a main controller of the cooperative control group; Evaluating second electric coupling strength indexes among all basic control areas in the governed cooperative control group by utilizing the main controller, and comparing the second electric coupling strength indexes with a coupling threshold value, wherein if the second electric coupling strength indexes among the areas are smaller than the coupling threshold value in a second duration, the cooperative control group is disassembled, so that all the basic control areas are switched back to an operation mode independently managed by the configured regional coordination controller; the first electric coupling strength index is the sensitivity of the total net power change of the current basic control area to the voltage of the boundary node of the adjacent area; The total net power is changed into a difference value of the net power in an adjacent evaluation period, wherein the net power is algebraic sum of an internal distributed power supply, energy storage, load and externally-sent power of a current basic control area; The second electric coupling strength index is the sensitivity of the total net power change of one basic control area in the cooperative control group to the boundary node voltage of the other basic control area in the cooperative control group; wherein the total net power is changed into the difference value of the net power in adjacent evaluation periods, and the net power is the basic control area in the cooperative control group Algebraic sum of internal distributed power supply, energy storage, load and external output power, and boundary node voltage is basic control area in cooperative control group Neutral base control zone The voltage of the nearest node.
2. The source network charge storage coordination method of claim 1, wherein the dividing the power network into a plurality of basic control areas comprises: acquiring a node impedance matrix of the power network; Determining an electrical distance between nodes by using the node impedance matrix, wherein the electrical distance is the sum of self-impedance values of two nodes minus twice the transimpedance value between the two nodes; And (3) starting from any node, and dividing the nodes with the electric distances smaller than the electric threshold value into the same basic control area by adopting a clustering algorithm to form a plurality of basic control areas.
3. The source network charge storage coordination method according to claim 2, wherein the method for determining the electrical threshold value comprises: Acquiring an electrical distance sample set, the electrical distance sample set comprising historical electrical distances; based on the statistical distribution of the electrical distance sample set, taking the 70% quantile of the electrical distance sample set as an initial value of an electrical threshold; an electrical threshold is determined from the initial value.
4. The source network charge storage coordination method of claim 1, wherein the evaluation period comprises the following formula: ; in the formula, For the evaluation period; is the minimum period; Is a scaling factor; Is a system time constant.
5. The source network load storage collaboration method according to claim 1, wherein the method for setting the coupling threshold includes: The method comprises the steps of obtaining historical coupling strength indexes, carrying out ascending order on the historical coupling strength indexes, taking 85% quantiles as a reference value of a coupling threshold, and determining the coupling threshold according to the reference value.
6. The source network charge storage coordination method of claim 1 wherein the second duration is greater than the first duration; The first duration is determined from a ratio of a minimum sustainable time of the system disturbance to the evaluation period.
7. The source network load storage cooperative method according to claim 1, wherein selecting an area coordination controller as a master controller of the cooperative control group comprises: According to the computing capacity, the communication reliability, the operation stability and the electrical centrality of the regional coordination controllers, calculating the comprehensive scores of the regional coordination controllers configured by each basic control region in the cooperative control group; and taking the regional coordination controller with the highest comprehensive score as a main controller of the cooperative control group.
8. The source network load storage collaboration method according to claim 7, wherein the method for setting the real-time weight in the composite score comprises: Determining real-time weights according to the real-time adjustment coefficients and the basic weights; The real-time adjustment coefficient comprises a calculation adjustment coefficient, a communication adjustment coefficient, an operation adjustment coefficient and an electrical adjustment coefficient, wherein the calculation adjustment coefficient and the electrical adjustment coefficient are both 1, the communication adjustment coefficient is a 1+ packet loss rate, the operation adjustment coefficient is a 1+ fault rate, the basic weight comprises a calculation basic weight, a communication basic weight, an operation basic weight and an electrical basic weight, and the real-time weight comprises a real-time calculation weight, a real-time communication weight, a real-time operation weight and a real-time electrical weight.

Description

Source network load storage collaboration method Technical Field The invention relates to the technical field of source network load storage, in particular to a source network load storage cooperative method. Background With high-proportion distributed energy sources (such as photovoltaics and wind power) connected into a power system, the running state of a power grid is changed from the traditional source follow-up to source load interaction, and high uncertainty and bidirectional trend are presented. The traditional cooperative control of the source network and the load storage mostly adopts a fixed control area which is divided in advance. The traditional rigid structure adopts fixed partitions, is difficult to adapt to continuous changes of the running state of the system, such as abrupt change of output force and load fluctuation of a distributed power supply, and easily causes mismatching of the control range and the actual electric coupling relation, so that the cooperative efficiency is reduced, the resource is controlled to be wasted, and even local oscillation is caused. Specifically, the technical drawbacks of the existing fixed partition method include: (1) Under a fixed partition architecture, control resources of each region cannot be shared across regions. Even if the areas are electrically tightly coupled, the resource of one area is idle, and the adjacent area has the problems of voltage out-of-limit or unbalanced power due to insufficient resources. (2) When two strongly coupled regions are forced to be controlled separately, the controller action of one region may cause unexpected disturbance to the other region, causing a chain control reaction, forming oscillation between the controllers of the regions, and seriously affecting the system stability. (3) The traditional fixed partition structure can not dynamically adjust the control range according to the real-time running state of the system, so that the response of the system is delayed when the system is in response to rapid change, and the self-adaption capability is seriously insufficient. Disclosure of Invention Therefore, the invention aims to solve the problems that the control range is not matched with the actual electric coupling relation due to the fact that a fixed partition mode is adopted in the traditional source network load storage cooperative control, and the control range is not matched with the actual electric coupling relation, so that the cooperative efficiency is reduced, the control resource is wasted and even local oscillation is caused, and provides a source network load storage cooperative method which is used for realizing cooperative control by monitoring the coupling strength among areas in real time and performing grouping or ungrouping. In order to solve the technical problems, the invention provides a source network load storage cooperative method, which comprises the following steps: dividing an electric power network into a plurality of basic control areas, configuring an area coordination controller for each basic control area, and evaluating a first electric coupling strength index between the managed basic control area and an adjacent area by using the area coordination controller; if the first electric coupling strength index is more than or equal to the coupling threshold value in the first duration, forming a cooperative control group by the associated basic control area, and selecting an area cooperative controller as a main controller of the cooperative control group; And evaluating second electric coupling strength indexes among all basic control areas in the managed cooperative control group by using the main controller, and comparing the second electric coupling strength indexes with a coupling threshold value, wherein if the second electric coupling strength indexes among the areas are smaller than the coupling threshold value in a second duration, the cooperative control group is disassembled, so that all the basic control areas are switched back to an operation mode independently managed by the configured regional coordination controller. Compared with the prior art, the technical scheme of the invention has the following beneficial effects: according to the source network load storage cooperative method, the coupling strength between basic control areas is monitored in real time, when coupling is strong, the relevant basic control areas are combined into the cooperative control group for unified optimization, and when the coupling strength is weakened, the cooperative control group is released, and independent operation of each basic control area is restored, so that cooperative control is realized. Specific: Through continuously evaluating the first electric coupling strength index, the electric connection strength between basic control areas is perceived in real time, and when the strong coupling state continuously reaches the first duration, the relevant basic control areas are combin