Planning of distribution network with DG based on artificial fish swarm algorithm

An artificial fish swarm algorithm (AFSA) is developed to optimize the site and size of distributed generation (DG) in expansion planning of the distribution network. Double nested AFSA is used to solve the optimization problem. The site and size of DG is optimized in the external line, and the DG individuals generated in the process of optimization are involved in the expansion planning. By taking into account the influence of DG on the power flow of the distribution network, the internal AFSA method is applied to the expansion planning. In addition, this paper designs the improved artificial fish swarm algorithm because the original artificial fish's convergence is slow and solution precision is low in the later period of arithmetic operation. At last, the result of the integrated planning of DG and network is used to evaluate the economics of individual DG's site and size solution. Specific examples show that the proposed AFSA is feasible and effective.