Abstract:

Rational planning of distributed generation in power grid can improve the energy efficiency and the economy, reliability and flexibility operation of power system. This paper constructed the multi-objective planning model with minimizing total investment cost in the construction and operation of the distributed power system and the power loss of system, as well as maximizing the investment the static voltage stability index as optimization subgoals. This paper used and improved a new bionic algorithm-bat algorithm, which could effectively solve the problems of easily trapping into local optimal solution and slow convergence speed in the later stage. Then, 14-node distribution network test systems were used to simulate and analyze the location and capacity of distributed generation. The simulation results show that, compared with the traditional bat algorithm and particle swarm optimization, the improved bat algorithm can better and faster get the optimal planning scheme of distributed generation connected to distribution network, which can validate the correctness and feasibility of the algorithm.

Key words: distributed generation, bat algorithm, multi-objective optimization, distribution network, optimal location