基于改进粒子群算法的配电网分布式电源规划

合理地对分布式电源进行选址和定容对于实现配电网网损最小是至关重要的.应用改进粒子群优化算法进行配电网分布式电源(DG)规划,并结合罚函数法将DG规划问题转化成无约束求极值问题,从而有效地提高了改进粒子群优化算法的全局收敛能力和计算精度.对69节点和33节点配电测试系统进行仿真计算,结果表明了论文采用的DG规划模型和改进粒子群优化算法的正确性和适用性.

Distributed generation planning in distribution system based on modified particle swarm optimization algorithm

To minimize line losses of distribution systems, it is crucially important to define the size and location of distributed generators to be placed. This paper proposes a modified particle swarm optimization (MPSO) algorithm for distributed generation (DG) planning in a distribution system. MPSO is utilized to solve the proposed distributed generation (DG) planning model, and combined with penalty function, the DG planning problem is transferred into a problem to solve extreme-value without constraints, thus the calculation accuracy and global convergence ability of MPSO are effectively improved. Simulation of the proposed algorithm by 69-bus distribution test system and 33?bus distribution test system is conducted. Simulation results validate the correctness and adaptability of the proposed DG planning model and MPSO algorithm.