基于粒子群算法的多类型分布式电源并网位置与运行出力综合优化算法

A Particle Swarm Optimization Based Comprehensive Optimization Algorithm for Grid-Connected Positions and Operation Parameters of Multi-Type Distribution Generations

在分析了几种常见分布式电源(distributed generation,DG)并网类型和出力特性的基础上,对其中3类具有调节能力的分布式电源的并网位置和运行出力进行了综合优化,以使配电网的网络损耗降到最小。对所提优化模型变量进行了分离处理,形成了交叉反馈粒子群算法(cross feedback particle swarm optimization algorithm,CFPSO)。对比了基于分离变量思想的分层嵌套粒子群算法(layer embedded particle swarm optimization algorithm,LEPSO)。以某三馈线配电系统为例对提出的模型进行了仿真计算,计算结果验证了2种算法的有效性。由于实现了变量的完全解耦以及反馈机制的引入,CFPSO算法具有更好的收敛精度,同时大大提高了求解效率。

On the basis of analyzing grid-connection types and output characteristics of several fi＇equent distributed generations （DG）, the comprehensive optimization of grid-connected positions and operation output of three kinds of DG with regulation capability is performed to make the network loss of distribution network minimum. The separating process of variables in the proposed optimization model is carried out to form cross feedback particle swarm optimization algorithm （CFPSO）, and the flowchart of CFPSO is given and compared with that of the variables separation idea based layer embedded particle swarm optimization algorithm （LEPSO）. Taking a certain three-feeder distribution system for example, the simulation of the proposed model is conducted and simulation results show that both algorithms are effective. In view of the implementation of complete decoupling of variables and leading in the feedback mechanism, CFPSO possesses better convergence accuracy and greatly improves the solution efficiency.