In the construction process of AC/DC hybrid distribution networks,traditional particle swarm optimization algorithm is mainly used to solve the expansion planning scheme of the distribution network,which is prone to falling into local optima,resulting in higher planning costs for the final generated scheme.Therefore,a hybrid particle swarm optimization based expan-sion planning algorithm for AC/DC hybrid distribution networks is proposed.This paper designs a game relationship diagram with the distribution company as the main player and the operator as the auxiliary player for the two distribution network opera-tors,distribution companies and distributed power operators,and construct a double-layer distribution network expansion plan-ning model with the goal of optimal system economy and maximum DG utilization.By considering the operational requirements of the AC/DC hybrid distribution network,This paper sets equipment investment constraints,network radiation and connectiv-ity constraints,and component operation characteristics constraints.A hybrid particle swarm optimization algorithm is com-posed of particle swarm optimization algorithm and simulated annealing algorithm,which is applied to iteratively solve the bi-level programming model and output the optimal expansion planning scheme for the AC/DC hybrid distribution network.The experimental results show that the annual planning cost of the distribution network expansion plan obtained after the application of the proposed algorithm is only 1.3507 million yuan,which meets the economic requirements for distribution network expan-sion.
关键词
混合粒子群优化/交直流混联配电网/扩展规划/主从博弈/分布式电源(DG)/双层优化
Key words
hybrid particle swarm optimization/AC/DC hybrid distribution network/expansion planning/master-slave game/distributed power generation(DG)/double layer optimization
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