ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: HAN Chang,LIN Zhenzhi,YANG Li,CAI Jingdong,LYU Yunfeng,ZHANG Suming.Multi-objective Planning for Anti-disaster Backbone Grid Considering Economics and Network Frame Performance[J].Automation of Electric Power Systems,2019,43(2):34-41. DOI: 10.7500/AEPS20180313002 copy

Multi-objective Planning for Anti-disaster Backbone Grid Considering Economics and Network Frame Performance

  • Received Date: March 13, 2018
    Accepted Date: September 03, 2018
    Available Online: November 09, 2018

  • Abstract:

        In order to enhance the power supply capability and disaster resistance ability of power systems under extreme natural disasters, a multi-objective planning method of anti-disaster backbone grid is proposed with the guarantee rate of the load requirements, security operation constraints of the power system and connectivity of the network topology satisfied. In the proposed strategy, a multi-objective planning model of anti-disaster backbone grid, in which the reinforce cost of differential planning, the efficiency of power resupply after a disaster and the ability of the backbone grid to resist the disaster are considered comprehensively, is constructed for maximizing economics, resilience and network survivability. The graph repair strategy is utilized in comprehensive learning particle swarm optimization algorithm, which increases the feasible solution space of the algorithm. Then, the mixed strategy Nash equilibrium, which can balance the benefit of each objective function, is adopted to extract the best compromise solution with the optimal equilibrium value from the Pareto fronts obtained by the algorithm. The feasibility of the proposed method is verified by the numerical results of a regional power grid in Guangdong Province.

  • Keywords:

    anti-disaster backbone grid; resilience; network survivability; comprehensive learning particle swarm optimization; Nash equilibrium

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