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ZHANG Shuyun,KUANG Honghai,TANG Tingyuan,ZENG Liqiong.Optimization Configuration of Reactive Power Compensation in Rural Distribution Network[J].JOURNAL OF POWER SUPPLY,2018,16(3):84-90
Optimization Configuration of Reactive Power Compensation in Rural Distribution Network
Received:April 05, 2016  Revised:January 17, 2018
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DOI:10.13234/j.issn.2095-2805.2018.3.84
Keywords:rural distribution network  reactive power compensation  genetic algorithm (GA)
Fund Project:Hunan Province Natural Science Foundation (2015JJ5009);scientific research project of Education Department of Hunan province (15C0395);Hunan University of Technology Graduate School Innovation Fund (CX1502)
           
AuthorInstitutionEmail
ZHANG Shuyun College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou , China sy_zhang14@163.com
KUANG Honghai College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou , China
TANG Tingyuan Shaoyang Electric Power Eco-Tech Research Institute, State Grid Hunan Electric Power Co., Ltd., Shaoyang , China
ZENG Liqiong College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou , China
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Abstract:
      Considering the problems existing in the planning of rural distribution network at present, such as reactive power compensation and aimless selection of compensation points, an optimization configuration method for reactive power compensation in rural distribution network is proposed through the analysis and comparison of several commonly used reactive power compensation methods. The advantages and disadvantages of some optimization configuration algorithms for optimal reactive compensation points are analyzed, and an improved genetic algorithm with the partition of management areas is proposed with the combination of the selected compensation method; moreover, it is used to optimize the reactive power. This algorithm is used to check an IEEE 30-bus system and an actual distribution power supply network system. The results show that the proposed algorithm has a fast convergence speed, good stability and strong controllability; at the same time, it has an obvious advantage in improving the reactive power compensation effect, indicating its application value in practice.
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