Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (1): 58-61.doi: 10.16180/j.cnki.issn1007-7820.2019.01.0012

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Reactive Power Optimization of Power System Based on Electronic Search Algorithm

HUANG Taixiang,CHEN Bo,GUAN Xin,CHENG Luyao   

  1. School of Electrical & New Energy,China Three Gorges University,Yichang 443002,China
  • Received:2018-08-13 Online:2019-01-15 Published:2018-12-29
  • Supported by:
    Scientific Research Project of Yichang Power Reconnaissance Design Corporatioon(15U180024012017000004)


Aiming at the slow convergence of PSO and the problem that the result of PSO was easy to fall into local solution in the reactive power optimization process of power system, the electro-search algorithm was used instead of PSO to improve the convergence speed and make the optimization calculation easier to get the optimal solution. In order to minimize the expected loss, a reactive power optimization model for distribution network was established, which considered the capacitor reactive power compensation and the voltage transformer ratio. The simulation results of IEEE 14 bus system verified the effectiveness of the electro-search algorithm in reactive power optimization. Finally, the results of particle swarm optimization and electro-search algorithm were compared. The results showed that the electro-search algorithm was superior to particle swarm optimization in convergence speed and optimization effect.

Key words: reactive power optimization, particle swarm optimization, network loss, transformer ratio, electro-search algorithm, optimal solution

CLC Number: 

  • TP312