An Optimized Method of DG Allocation in Active Distribution Network Considering Risk of Failure

Abstract

Based on the Particle Swarm Optimization algorithm (PSO) with inertia weight, this paper proposed a distributed generator (DG) optimization method in active distribution considering fault risk with the goal of minimizing economic loss. According to the number of users and the loss of user load caused by power failure of the active distribution network, the fault risk impact factor is proposed and defined and then used to correct the objective function. The effectiveness of the proposed method is verified by a 24-node 6kV network. The results show that, after accessing the DG, the user's loss risk value, load loss risk value and total risk value are greatly improved. And the effectiveness of the DG optimization method considering the risk of failure is confirmed.