Power system reactive power optimization based on quantum DE algorithm

A reactive power optimization model is established to realize the lowest active power loss of power system, and a quantum differential evolution (QDE) algorithm is proposed to solve the model. The algorithm takes advantage of parallel and collapse properties of the quantum calculation theory, owning...

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Published inDianli Xitong Baohu yu Kongzhi Vol. 41; no. 17; pp. 39 - 43
Main Authors Ma, Ling, Yu, Qing, Liu, Gang, Wang, Ze-Li
Format Journal Article
LanguageChinese
Published 01.09.2013
Subjects
Algorithms
Control systems
Dealing
Evolution
Optimization
Reactive power
Strategy
Swarm intelligence
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ISSN1674-3415

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Summary:A reactive power optimization model is established to realize the lowest active power loss of power system, and a quantum differential evolution (QDE) algorithm is proposed to solve the model. The algorithm takes advantage of parallel and collapse properties of the quantum calculation theory, owning better ergodic ability for the solution space. At the same time, possibility expression property of quantum bit in traditional selection strategy is considered which makes it easier to avoid premature phenomenon. The reactive power optimization for IEEE 30-bus system is performed by using traditional differential evolution algorithm, particle swarm optimization algorithm and quantum differential evolution algorithm. The comparison analysis of three algorithms shows that the quantum differential evolution algorithm is more scientific and efficient in dealing with reactive power optimization.
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ISSN:1674-3415