Reactive power optimization in power system based on modified differential evolution algorithm

In order to overcome the programming difficulty of traditional reactive power optimization model for large-scale systems, the model of reactive power optimization in the form of matrix is presented. The modified DE algorithm is improved by introducing enhanced operator and operating analog gambling...

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Bibliographic Details
Published inDianli Xitong Baohu yu Kongzhi Vol. 38; no. 15; pp. 91 - 122
Main Authors Zhang, Bing-Cai, Qin, Si-Juan, Qiao, Shi-Jun, Lu, Zhi-Gang
Format Journal Article
LanguageChinese
Published 01.08.2010
Subjects
Algorithms
Control systems
Convergence
Evolution
Operators
Optimization
Power flow
Programming
Reactive power
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Summary:In order to overcome the programming difficulty of traditional reactive power optimization model for large-scale systems, the model of reactive power optimization in the form of matrix is presented. The modified DE algorithm is improved by introducing enhanced operator and operating analog gambling site by purpose to make the poor individuals of population participate in enhancing operation and improving the method of optimizing capacity. The merits and demerits of initial population have a significant impact on the algorithm convergence. According to the nature of reactive power optimization, initial population based on results of the power flow. MPDE applied for optimal reactive power is evaluated on an IEEE-14 bus power system. It is shown that the proposed approach has better convergence and much faster than the earlier approaches.
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ISSN:1674-3415