基于粒子群算法的DG计算机监控系统的研发

DG computer monitoring and control system based on particle swarm algorithm

分布式电源(DG)是一个复杂的系统。提出了一种基于粒子群算法的DG电源计算机监控系统。该系统从分析粒子群算法学习模式的构造及关键要素出发,将群智能寻解与实际分布式电源监控相结合,从而构建出基于改进的PSO算法的分布式电网故障定位算法及调度方法。仿真证明该算法简单、实用,在一定程度上能够实现故障点的迅速查找。

The distributed power supply （DG） is a complex system. A DG power computer monitoring system was proposed based on particle swarm optimization （PSO） algorithm. From the analysis of particle swarm algorithm learning mode and key elements, the group of intel igent search solution was combined with a practical distributed power monitoring, so as to construct the improved PSO algorithm of distributed power grid fault location algorithm and scheduling method. The simulation results prove that the algorithm is simple and practical. And to a certain extent, it can realize the fault point quick search and improve the reliability and security of distributed power supply.