Expansion Planning Algorithm for AC/DC Hybrid Distribution Network Based on Hybrid Particle Swarm Optimization
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.
hybrid particle swarm optimizationAC/DC hybrid distribution networkexpansion planningmaster-slave gamedistributed power generation(DG)double layer optimization
万方数据
维普
