Reactive power optimization system and method of power grid based on the double-fish-swarm algorithm

Patent metadata

Field	Value
Publication number	US-2018309294-A1
Application number	US-201715577127-A
Country	US
Kind code	A1
Filing date	Jun 16, 2017
Priority date	Dec 7, 2016
Publication date	Oct 25, 2018
Grant date	—

Abstract

The invention provides a reactive power optimization system and a method of a power grid based on a double-fish-swarm algorithm. The system includes a power grid state data acquiring module, a reactive power regulating module and a reactive power executing module. The power grid state data acquiring module includes a power grid state data acquisitor and a relay transmitter. The reactive power regulating module is a control terminal. The reactive power executing module includes generator terminal voltage regulators, transformer tap regulators and reactive power compensation regulators. The method is used for acquiring the initial data to be optimized in the current network; and optimizing the initial data to be optimized in the current network based on a double-fish-swam algorithm so as to obtain optimal value of control variables in the power grid. According to the method, the distribution network to be optimized can realize reasonable reactive power flow distribution.

First claim

1 . A reactive power optimization system of a power grid based on a double-fish-swarm algorithm, comprising a power grid state data acquiring module, a reactive power regulating module and a reactive power executing module, wherein
the power grid state data acquiring module comprises a power grid state data acquisitor and a relay transmitter; the reactive power regulating module is a control terminal; the reactive power executing module comprises generator terminal voltage regulators, transformer tap regulators and reactive power compensation regulators; the input end of the power grid state data acquisitor is connected with a power grid; the output end of the power grid state data acquisitor is connected with the input end of the relay transmitter; the output end of the relay transmitter is connected with the input end of the control terminal; the output end of the control terminal is connected with the input end of each of the generator terminal voltage regulators, the input end of each of the transformer tap regulators and the input end of each of the reactive power compensation regulators; the output end of each of the generator terminal voltage regulators is connected with a corresponding generator in the power grid; the output end of each of the transformer tap regulators is connected with a corresponding transformer in the power grid; and the output end of each of the reactive power compensation regulators is connected with a corresponding reactive power compensation device in the power grid; the power grid state data acquisitor is used for acquiring the current network information of the power grid and judging whether the current network information meets the optimal state required by the power grid or not; and if the current network information cannot meet the optimal state required by the power grid, the current network information is transmitted to the relay transmitter, wherein the current network information includes power grid node information, branch information, generator information, transformer information and reactive power compensation device information; the relay transmitter is used for transmitting the power grid node information, the branch information, the generator information, the transformer information and the reactive power compensation device information which are acquired by the power grid state data acquisitor and required for reactive power optimization in the network information to the control terminal; the reactive power regulating module comprises a parameter acquiring unit, a reactive power optimization unit based on a double-fish-swam algorithm, and an optimization decision-making control unit; the parameter acquiring unit is used for acquiring the power grid node information, the branch information, the generator information, the transformer information and the reactive power compensation device information transmitted by the relay transmitter and used as initial data to be optimized in the current network; the reactive power optimization unit based on the double-fish-swam algorithm is used for establishing a mathematical model for reactive power optimization of a power system, and the acquired initial data to be optimized in the current network is optimized based on the double-fish-swam algorithm, so that an optimal value of each of control variables in the power grid is obtained, wherein the control variables comprise generator terminal voltage amplitudes, transformer adjustable ratios, and the reactive power capacity of reactive power compensation devices; the optimization decision-making control unit is used for transmitting the optimal values of the control variables to the reactive power executing module; the generator terminal voltage regulators are used for regulating generator terminal voltages according to the optimal values of the generator terminal voltage amplitudes, obtained by the reactive power regulating module; the transformer tap regulators are used for regulating transformer taps according to the optimal values of the transformer adjustable ratios, obtained by the reactive power regulating module; and the reactive power compensation regulators are used for regulating the compensation capacity of reactive power compensators according to the optimal values of the reactive power capacity of the reactive power compensation devices, obtained by the reactive power regulating module.

2 . The reactive power optimization system of a power grid based on the double-fish-swarm algorithm according to claim 1 , wherein the mathematical model for establishing the reactive power optimization of the power system is shown as follows:

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Assignees

• Univ Northeastern

Inventors

• Zhang Huaguang
• Yang Jun
• Sun Qiuye
• Wu Feiye
• Liu Xinrui
• Yang Dongsheng
• Wang Zhiliang
• Feng Jian
• Huang Bonan
• Luo Yanhong
• Hui Guotao
• Liu Zhenwei

Classifications

• H02J2103/30

  Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks · CPC title

• H02J3/1885 Primary

  using rotating AC generators, e.g. synchronous generators · CPC title

• H02J3/18 Primary

  Arrangements for adjusting, eliminating or compensating reactive power in networks · CPC title

• H02J3/1878

  using tap changing or phase shifting transformers · CPC title

• G05F1/14

  using tap transformers or tap changing inductors as final control devices · CPC title