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A 750kv Substation Fault Restoration Method Based on Genetic Algorithm

A fault recovery and genetic algorithm technology, applied to electrical components, circuit devices, emergency protection circuit devices, etc., can solve problems such as the inability to guarantee the global optimal solution and the difficulty in dealing with constraint conditions, so as to reduce operating costs and maintenance costs, Improve the effect of reliability and safety, large economic benefits and social benefits

Inactive Publication Date: 2018-04-20
国网甘肃省电力公司超高压公司 +1
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, there are mainly the following types of research on substation fault recovery. The expert system is used to automatically generate the switch operation table during fault recovery. However, this method is difficult to deal with constraints and cannot guarantee to find the global optimal solution.

Method used

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  • A 750kv Substation Fault Restoration Method Based on Genetic Algorithm
  • A 750kv Substation Fault Restoration Method Based on Genetic Algorithm
  • A 750kv Substation Fault Restoration Method Based on Genetic Algorithm

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Embodiment Construction

[0031] The present invention and its beneficial effects will be described in detail below in conjunction with the accompanying drawings.

[0032] figure 1 It is the flow chart of 750kV substation fault processing and restoration provided by the present invention. Such as figure 1 As shown, the present invention mainly includes rapidly separating the fault point, seeking the optimal switching operation sequence, and recovering the power supply in the non-fault outage area.

[0033] The following is a 750kV substation inlet and outlet connection diagram ( figure 2 ) as an example to describe in detail the search method for the above-mentioned 750kV substation fault and power loss area:

[0034] Analyze the topological structure of the 750kV substation. The main wiring adopts 3 / 2 complete wiring and 3 / 2 incomplete wiring, which is composed of three voltage levels of 750kV, 330kV and 66kV. Analyze the main wiring form of the 750kV substation and establish the main wiring topol...

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Abstract

The present invention discloses a 750kv substation fault recovery method based on a genetic algorithm in the field of 750kv substation fault recovery. The method comprises a step of using a substation fault judgment matrix to search a power-loss area, a step of setting an operation cost according to substation primary equipment electrical state, using the genetic algorithm to search a series of optimal action switch combinations, and improving the 'self-healing ability' of a 750kv substation. According to the method, the maintenance personnel can be assisted to rapidly isolate a fault and recover the power supply of a non-fault power cut area, and the safe and stable operation of the 750kv substation are ensured.

Description

technical field [0001] The invention belongs to the technical field of electric power system operation control, and specifically relates to a method for recovering a fault of a 750kV substation based on a genetic algorithm. technical background [0002] The Northwest 750kV interconnection project is an ultra-high voltage power transmission and transformation project with the largest project scale, the highest voltage level, the longest line and the most complex in the history of Northwest Power Grid development. The 750kV substation is the connection hub of the 750kV power grid, and its safe, continuous and stable operation directly affects the power supply quality of the entire 750kV power grid. [0003] At present, there are mainly the following types of research on substation fault recovery. The expert system is used to automatically generate the switch operation table during fault recovery. However, this method is difficult to deal with constraints and cannot guarantee t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02H3/06H02H7/22
CPCH02H3/06H02H3/066H02H7/22
Inventor 任伟董海鹰王荣姚军朱文才
Owner 国网甘肃省电力公司超高压公司