基于改进粒子群算法的分布式电源选址定容研究

Study on the Constant Volume of Distributed Power Supply Site Selection Based on Improved Particle Group Algorithm

针对分布式电源在配电网中选址定容问题,以投资综合成本作为优化目标,建立了分布式电源选址定容数学模型。运用改进的粒子群算法对模型求解,IEEE33节点配电网为算例,对分布式电源的安装位置和容量进行优化,将所得到的结果与未改进前的算法进行比较,表明算法具有更好地全局收敛效率和寻优能力。

According to the distributed power siting and sizing problem in the distribution network,the investment cost as optimization object,a mathematical model of distributed generation locating and sizing. Using the improved particle swarm optimization algorithm to solve the model,the IEEE33 node distribution network as an example,the distributed power installation position and capacity of the optimization,the results obtained with haven＇t improved algorithms are compared,show that the algorithm has better global convergence and searching capability.