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Reactive Power Optimization by Improved Genetic Algorithm Method
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[1]YANG Huping,Ll Weiren,ZUO Shiwei,et al.Reactive Power Optimization by Improved Genetic Algorithm Method[J].Journal of Zhengzhou University (Engineering Science),2015,36(06):66-.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 36 Number of periods: 2015 06 Page number: 66- Column: Public date: 2015-12-25
Title:
Reactive Power Optimization by Improved Genetic Algorithm Method
Author(s):
YANG Huping1; Ll Weiren1; ZUO Shiwei1; ZHANG Yang1; CAI Xiaowen1
1. School of Information Engineering，Nanchang University，Nanchang 330031，China;2.State Grid Zheijiang Eletric PowerCompany Jimhua Power Supply Company，Jimhua 321017，China;3.State Grid Jiangxi Electric Power Company Information andCommunications Branch，Nanchang 330096，China;4.State Grid Jiangxi Electric Power CompanyMaintenance Branch，Nan-chang 330096，China
Keywords:
power system; reactive power optimization;  genetic algorithm
CLC:
TM731
DOI:
10.3969/j. issn.1671 -6833.2015.06.013
Abstract:
Reactive power optimization using improved genetic algorithm is studied in this paper.A mathemat-ical model of reactive power optimization for power system is established，which treats the voltage of the gener-ator，capacity of reactive power compensation equipment，ratio of adjustable transformers as control variables,aiming at maximizing the comprehensive benefits which takes the economics and power system performance intoaccount. The proposed model takes decimal integer encoding strategy to improve the computational efficiencyfor the discrete variables in control center，applies comprehensive selection operator and adaptive crossovermutation rate to improve the convergence performance.The correctness and effectiveness of the proposed meth-od are validated by simulation results of IEEE 14-bus system for 500 times.
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