1048 / 2019-05-19 15:53:35
Optimization of Fault Current Limiter Configuration Based on Improved Niche Genetic Algorithm
fault current limiter (FCL),optimal configuration,sensitivity,improved niche genetic algorithm
Draft Accepted
Danyang Li / Xi’an Jiaotong University
Zhiguo Hao / Xi’an Jiaotong University
Zhihua Zhang / State Grid Shaanxi Electric Power Company Electric Power Research Institute
Yizhao Wang / State Grid Shaanxi Electric Power Company Electric Power Research Institute
In allusion to the optimal allocation of fault current limiter (FCL) in whole power grids, a multi-objective optimization configuration method based on improved niche genetic algorithm with preselection mechanism is proposed. Nodes with short-circuit currents exceeding standard and branches where FCL could be triggered reliably are determined through system short-circuit current calculation. By analyzing the influence of FCL installation on system impedance matrix, the sensitivity method based on the branch impedance change rate is used to narrow the search space. Then using the improved niche genetic algorithm with preselection mechanism to optimize the calculation to realize the optimal configuration of the number, the impedance value and the location of fault current limiters. Finally, simulation results of the New England 39-node system verify the effectiveness of the proposed method.
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
Contact Information