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Alternating-current/direct-current-system reactive power optimization method based on good-point set quantum particle swarm algorithm

An AC-DC system, quantum particle swarm technology, applied in reactive power compensation, AC network circuits, reactive power adjustment/elimination/compensation and other directions, can solve problems such as premature convergence

Active Publication Date: 2017-01-18
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a reactive power optimization method for AC and DC systems based on the good point set quantum particle swarm optimization method, which improves QPSO and solves the problem that it is easy to fall into local optimum and lead to premature convergence

Method used

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  • Alternating-current/direct-current-system reactive power optimization method based on good-point set quantum particle swarm algorithm
  • Alternating-current/direct-current-system reactive power optimization method based on good-point set quantum particle swarm algorithm
  • Alternating-current/direct-current-system reactive power optimization method based on good-point set quantum particle swarm algorithm

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[0064] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0065] Please refer to figure 1 , the present invention provides a reactive power optimization method for an AC / DC system based on a good point set quantum particle swarm algorithm, which is characterized in that it includes the following steps:

[0066] Step S1: Establish a reactive power optimization model of the AC and DC system; the specific steps are as follows:

[0067] Step S11: Establish objective function

[0068] min f = P L o s s + λ 1 Σ i ∈ ...

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Abstract

The invention relates to an alternating-current / direct-current-system reactive power optimization method based on a good-point set quantum particle swarm algorithm. The method comprises the following steps of step1, establishing an alternating-current / direct-current-system reactive power optimization model; step2, improving a quantum genetic algorithm; and step3, using the improved quantum genetic algorithm to solve the alternating-current / direct-current-system reactive power optimization model. In the invention, the QPSO is improved and a problem of premature convergence generated because the QPSO is easy to fall into local optimum is solved.

Description

technical field [0001] The invention relates to a reactive power optimization method of an AC and DC system based on a good point set quantum particle swarm algorithm. Background technique [0002] With the development of DC transmission technology, the AC-DC hybrid power system has played an important role in my country's strategy of "transmitting power from west to east and connecting the whole country". In the west-to-east power transmission channel of China Southern Power Grid, the DC line transmission capacity accounts for about 60% of the entire channel. However, the DC converter station will absorb a large amount of reactive power, which will have a great impact on the reactive power distribution and voltage fluctuation of the AC system. Therefore, the reactive power optimization of the AC-DC hybrid transmission system is carried out, and the control of the voltage is realized by maintaining the reactive power balance. necessary. [0003] Reactive power optimization...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18H02J3/00
CPCH02J3/00H02J3/18H02J2203/20Y02E40/30
Inventor 黄道姗蔡振才黄霆李海坤苏清梅吴丹岳林因刘智煖张健蔡冰君
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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