A new islanding scheme based on Multi-objective Optimization for Distribution Systems implemented with DGs

The successive occurrence of events and blackouts is one of the most important threats for the security of power systems. The structure of network being divided into several parts and creation of unwanted islands are the most important behavioral features of a power system during the process of forming blackouts. One of the appropriate approaches for increasing the security of power systems in this field is to divide the power system into proper islands in an intentional and controllable way. In today's power systems where distributed generation units are increasingly used, these units could have a positive effect on the creation of independent islands during successive events. In this paper, a new approach based on multi-objective non-dominated sorting particle swarm optimization (NSPSO) algorithm is presented for optimal determination of boundaries of intentional islands in distribution systems in presence of distributed generation resources in order to decrease load interruption and system losses. The proposed approach is applied on the modified IEEE 33-bus distribution system and the optimal boundaries of intentional islands are determined in this system. The results show the high accuracy of proposed model in intentional islanding.