Distribution Network Reconfiguration Considering Wind Farm Output Optimization Or Electric Vehicle Charging Station Planning

The reconfiguration of distribution network has drawn more and more attention as it improves the economy, flexibility and reliability of power system. The reconfiguration of distribution network is aimed at seeking a set of optimal circuit-breaker states which meets the operation constraints and reliability requirements, so as to minimize the network power loss and black-out area. The reconfiguration can be categorized as static one and dynamic one.Common methods of reconfiguration includes exhaustive method, artificial intelligence algorithm, which includes particle swarm optimization algorithm, tabu-search method, genetic algorithm and immune algorithm, and hybrid algorithm etc. As method, the genetic algorithm is usually adopted in the reconfiguration of distribution network. However, this method is vulnerable to premature and infeasible solutions brought about by isolated island and loop network. Furthermore, this method is not applicable when the structure of the network changes.In allusion to such defects as easy to appear infeasible solutions and poor applicability due to applying traditional genetic algorithm in distribution network reconfiguration, a dynamic topological analysis based genetic algorithm is proposed. Through dynamic topological analysis, the distribution network is simplified in real-time and all feasible tree-bases are searched to provide the basis for the encoding and checking of genetic algorithm; leading in checking operator, the infeasible solutions in filial populations are changed into feasible solutions.To verify the adaptability of the genetic algorithm proposed in this paper, DFIGs are added at the source side. As for the control schemes, voltage control and power factor control are considered. After the analysis of principles, mathematical model and calculation method of power flow, the paper investigated the reconfiguration of distribution network containing DFIGs. The reconfiguration of distribution network combines with the plan of EVCS and establishes mathematical model of it.The Matlab-based simulative verification of the proposed algorithm is performed by normal state and post-fault state of IEEE 33-bus distribution system, and simulation results show that the proposed algorithm is effective and applicable. The method proposed in this paper can be applied well in the reconfiguration of distribution network with DFIGs. In addition, the proposed method can effectively solve the overall optimization problem of EVCS planning and reconfiguration.