810 / 2019-04-29 17:43:14
Research on Commutation Strategy Based on Improved Differential Evolution Algorithm
commutation strategy, differential evolution algorithm, greedy algorithm, intelligent phase change switch, three-phase imbalance.
Draft Accepted
Focusing on the design aspect of the commutation strategy of intelligent commutation switch, this paper puts forward a more practical and robust commutation strategy, i.e. using the differential evolutionary algorithm to make it optimized. At the same time, it is improved based on the traditional differential evolution algorithm and the problem of the actual phase change. The initial solution (initial population) of the algorithm is not simply generated randomly, but is produced by using greedy algorithm according to the diversity of genes, and then the mutation, crossover and selection operation are completed, which not only the problem dimension is reduced, but also the convergence speed of the algorithm is accelerated. Finally, the reliability and effectiveness of the algorithm in the treatment of three-phase imbalance are verified by MATLAB simulation.
Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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