Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (5): 11-16.doi: 10.16180/j.cnki.issn1007-7820.2019.05.003

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Research on Reactive Power Optimization of Power Distribution Network Based on Improved Genetic Algorithm

CHEN Qiang1,LIU Jin1,YANG Haima2,LIU Haishan1,WEI Yu1   

  1. 1. School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China
    2. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2018-04-19 Online:2019-05-15 Published:2019-05-06
  • Supported by:
    National Natural Science Foundation of China(61701296);Shanghai Natural Science Foundation(17ZR1443500)


Effectively reducing the loss of distribution network active power has been an important issue in the safe and economic operation of distribution networks. In order to solve the problem of large network loss in local areas,an improved genetic algorithm was proposed for reactive power compensation optimization. While considering the topological structure of distribution network, an adaptive genetic operator was designed and an exponential fitness function was constructed to promote the convergence speed and precision of genetic algorithm. In this way, the global random search capability of genetic algorithm could be fully utilized. The results of optimizing a 16-node study showed that the active network loss of the distribution network dropped from 6.76% to 5.16%,and the voltage qualification rate increased from 70.61% to 92.86%,indicating both the global optimization accuracy and the voltage quality of the regional network were improved. In addition, it also proved that this improved genetic algorithm is feasible for reactive power optimization.

Key words: distribution network, multi objective reactive power optimization, reduction of net loss, improved genetic algorithm, adaptive operator

CLC Number: 

  • TP714