CN-121984116-A - Control method and system of power grid system

CN121984116ACN 121984116 ACN121984116 ACN 121984116ACN-121984116-A

Abstract

The invention discloses a control method and a control system of a power grid system, which are applied to the technical field of the power grid system, wherein the method comprises the steps of respectively obtaining first operation data of each new energy unit in a target power grid system and second operation data of each bus node in the target power grid system; the method comprises the steps of constructing an active optimization objective function based on first operation data, obtaining reactive power influence data based on voltage deviation information extracted from second operation data, processing the active optimization objective function based on the reactive power influence data to obtain a target optimization model, determining an ideal operation state of each bus node in a target power grid system, processing the target optimization model by a gradient method to obtain power grid control parameters, and controlling the target power grid system to execute a control strategy generated by the power grid control parameters. The control method and the control system for the power grid system effectively improve the reliability of the control strategy and ensure the safe and stable operation of the power grid system.

Inventors

Zhuang Nanhu
LIN FAN
ZHANG YANG
LV XINLIN
CAI YUE
CHEN YI
Lin Yunce
DAI YU

Assignees

国网浙江省电力有限公司龙港市供电公司

Dates

Publication Date: 20260505
Application Date: 20251231

Claims (10)

1. A control method of a power grid system, comprising: respectively acquiring first operation data of each new energy unit in a target power grid system and second operation data of each busbar node in the target power grid system; Constructing an active optimization objective function based on the first operation data, and obtaining reactive power influence data based on voltage deviation information extracted from the second operation data; Processing the active optimization objective function based on the reactive influence data to obtain a target optimization model; determining an ideal operation state of each busbar node in the target power grid system according to the change condition of the second operation data and the topological relation between each new energy unit and each busbar node in the target power grid system; the power control variable meets the allowable regulation range and the voltage deviation information is in the controllable range as constraint conditions, and the target optimization model is processed by adopting a gradient method until the output result of the target optimization model matches the ideal running state, so as to obtain power grid control parameters; and controlling the target power grid system to execute a control strategy generated by the power grid control parameters.
2. The method for controlling a power grid system according to claim 1, wherein the constructing an active optimization objective function based on the first operation data and obtaining reactive influence data based on the voltage deviation information extracted from the second operation data includes: analyzing the first operation data to obtain power change and load shedding data of the new energy unit; constructing the active optimization objective function based on the power variation and the load shedding data; Analyzing the voltage condition of each line connected with each bus node in the second operation data to obtain voltage deviation information; Obtaining reactive power loss based on the line data of each line; and obtaining the reactive power influence data based on the reactive power loss and the voltage deviation information.
3. The control method of the power grid system according to claim 1, wherein determining the ideal operation state of each of the bus bar nodes in the target power grid system according to the change condition of the second operation data and the topological relation between each of the new energy units and each of the bus bar nodes in the target power grid system comprises: analyzing the change condition by adopting a sliding window method to obtain a change trend characteristic; constructing a topological association matrix based on the topological relation; And obtaining the ideal running state of each bus node based on the topological association matrix and the change trend characteristic.
4. The method for controlling a power grid system according to claim 1, wherein the step of processing the target optimization model by using a gradient method with the constraint condition that the power control variable satisfies the allowable adjustment range and the voltage deviation information is within the controllable range until the output result of the target optimization model matches the ideal operation state, to obtain the power grid control parameter comprises: Determining the allowable adjustment range of the power control variable based on the new energy unit operation characteristic and the scheduling requirement of the target power grid system; determining a controllable range of the voltage deviation information to obtain a constraint condition set; and solving the target optimization model by adopting a gradient-sub-gradient technology based on the allowable adjustment range and the constraint condition set until a solving result is matched with the ideal running state of the bus node, so as to obtain the power grid control parameter.
5. The method for controlling a power grid system according to claim 1, wherein the processing the target optimization model by using a gradient method comprises: processing the functional micro-part in the target optimization model to obtain a first descent direction; Constructing a corresponding secondary gradient set for the function non-microminiatable part in the target optimization model to obtain a second descent direction; And solving the target optimization model based on the first descent direction and the second descent direction.
6. A control system for an electrical grid system, comprising: The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for respectively acquiring first operation data of each new energy unit in a target power grid system and second operation data of each busbar node in the target power grid system; the function module is used for constructing an active optimization objective function based on the first operation data and obtaining reactive power influence data based on the voltage deviation information extracted from the second operation data; The model module is used for processing the active optimization objective function based on the reactive influence data to obtain a target optimization model; the ideal module is used for determining the ideal operation state of each busbar node in the target power grid system according to the change condition of the second operation data and the topological relation between each new energy unit and each busbar node in the target power grid system; The processing module is used for processing the target optimization model by adopting a gradient method by taking the power control variable meeting the allowable adjustment range and the voltage deviation information within the controllable range as constraint conditions until the output result of the target optimization model matches the ideal running state, so as to obtain power grid control parameters; and the execution module is used for controlling the target power grid system to execute the control strategy generated by the power grid control parameters.
7. The control system of a power grid system according to claim 6, wherein the function module comprises: The analysis unit is used for analyzing the first operation data to obtain the power change and load shedding data of the new energy unit; The active optimization unit is used for constructing the active optimization objective function based on the power change and the load shedding data; The voltage deviation unit is used for analyzing the voltage condition of each line connected with each bus node in the second operation data to obtain voltage deviation information; the reactive power unit is used for obtaining reactive power loss based on the line data of each line; And the reactive power unit is used for obtaining the reactive power influence data based on the reactive power loss and the voltage deviation information.
8. The control system of a power grid system according to claim 6, wherein the ideal module comprises: the trend feature unit is used for analyzing the change condition by adopting a sliding window method to obtain a change trend feature; the topology association unit is used for constructing a topology association matrix based on the topology relation; And the ideal operation unit is used for obtaining the ideal operation state of each bus node based on the topological association matrix and the change trend characteristic.
9. The control system of a power grid system according to claim 6, wherein the processing module comprises: The adjusting unit is used for determining the allowable adjusting range of the power control variable based on the new energy unit operation characteristic and the scheduling requirement of the target power grid system; the constraint unit is used for determining the controllable range of the voltage deviation information to obtain a constraint condition set; and the matching unit is used for solving the target optimization model by adopting a gradient-sub-gradient technology based on the allowable adjustment range and the constraint condition set until the solving result matches the ideal running state of the bus node, so as to obtain the power grid control parameter.
10. The control system of the grid system according to claim 6, wherein the processing the target optimization model using a gradient method comprises: The first unit is used for processing the functional micro-parts in the target optimization model to obtain a first descent direction; The second unit is used for constructing a corresponding secondary gradient set for the function non-microminiatable part in the target optimization model to obtain a second descending direction; and the solving unit is used for solving the target optimization model based on the first descent direction and the second descent direction.

Description

Control method and system of power grid system Technical Field The invention relates to the technical field of power grid systems, in particular to a control method and a control system of a power grid system. Background The power grid system has the advantages of cleanliness, low carbon, flexibility and high efficiency, wherein widely-accessed photovoltaic, wind power, energy storage and other distributed resources improve the energy in-situ digestion capacity, and through a fine and real-time coordination control strategy, the high-efficiency linkage of the resources can be realized, and the safe and reliable operation of the system is ensured. In a grid system, bus nodes are key electrical hubs connecting distributed power sources, loads, and a main network. In the coordination control of the power grid system, the bus nodes in the power grid system are used as basic units for coordination control, the global regulation and control target is decomposed into the coordination tasks of the bus nodes, and the wide-area coordination target of the distributed resources is realized. However, in the prior art, after data are acquired from bus nodes, data reading and threshold ratio equivalent simple operation are performed, so that complex operation requirements of a system under high-proportion power grid access cannot be matched, further control instructions are easy to violate physical constraint, linkage out-of-limit is caused or overall regulation efficiency of the system is reduced, and safe and stable operation of a power grid system is difficult to guarantee. Disclosure of Invention The invention provides a control method and a control system of a power grid system, which are used for solving the technical problems that the prior art only carries out simple processing control after data are acquired and the safe and stable operation of the power grid system is difficult to ensure, so as to realize the effect of improving the effectiveness of a control strategy. In order to solve the technical problems, the invention provides a control method and a system of a power grid system, wherein the method comprises the following steps: respectively acquiring first operation data of each new energy unit in a target power grid system and second operation data of each busbar node in the target power grid system; Constructing an active optimization objective function based on the first operation data, and obtaining reactive power influence data based on voltage deviation information extracted from the second operation data; Processing the active optimization objective function based on the reactive influence data to obtain a target optimization model; determining an ideal operation state of each busbar node in the target power grid system according to the change condition of the second operation data and the topological relation between each new energy unit and each busbar node in the target power grid system; the power control variable meets the allowable regulation range and the voltage deviation information is in the controllable range as constraint conditions, and the target optimization model is processed by adopting a gradient method until the output result of the target optimization model matches the ideal running state, so as to obtain power grid control parameters; and controlling the target power grid system to execute a control strategy generated by the power grid control parameters. Preferably, the constructing an active optimization objective function based on the first operation data, and obtaining reactive power influence data based on the voltage deviation information extracted from the second operation data includes: analyzing the first operation data to obtain power change and load shedding data of the new energy unit; constructing the active optimization objective function based on the power variation and the load shedding data; Analyzing the voltage condition of each line connected with each bus node in the second operation data to obtain voltage deviation information; Obtaining reactive power loss based on the line data of each line; and obtaining the reactive power influence data based on the reactive power loss and the voltage deviation information. Preferably, the determining the ideal operation state of each busbar node in the target power grid system according to the change condition of the second operation data and the topological relation between each new energy unit and each busbar node in the target power grid system includes: analyzing the change condition by adopting a sliding window method to obtain a change trend characteristic; constructing a topological association matrix based on the topological relation; And obtaining the ideal running state of each bus node based on the topological association matrix and the change trend characteristic. Preferably, the processing the target optimization model by using the power control variable meeting the allowable adjustment range and the volt