부산대학교 도서관

Due to the integration of Renewable Distributed Generation (RDG) and the load demand constantly change in an actual distribution network, network reconfiguration considering variations in load and RDG is a key role to enhance the performances of overall system. This paper proposes a reconfiguration method with time-varying characteristic that aims to minimize the total active power loss and maximize the absorption of RDG power by the system simultaneously. Firstly, the load and RDGs models are built through analyzing the time-varying characteristic of the actual load demand and RDG output power. Afterwards, the comprehensive multi-period objective function is designed based on variations in load and RDG. Finally, a hybrid particle swarm optimization is presented to solve the optimal problem of network reconfiguration considering time-varying characteristic. In the method, the topology structure and the absorption of RDG power are defined as the population which are updated by using integer and random quantum evolution principles. The proposed method is tested on an extended 33-bus network considering actual load demand and RDG to show the effectiveness of enhancing the performance of the system.