A global Particle Swarm-Based-Simulated Annealing Optimization technique for under-voltage load shedding problem - 源码 - 源码 - 免费下载

A global Particle Swarm-Based-Simulated Annealing Optimization technique for under-voltage load shedding problem

文件大小： 636k

源码售价： 10 个金币积分规则积分充值

资源说明：In this paper, a new approach based on hybrid Particle Swarm-Based-Simulated Annealing Optimization technique (PSO-B-SA) is proposed for solving under-voltage load shedding (UVLS) problem. Undervoltage load shedding (UVLS) is one of the most important tools for avoiding voltage instability. In this paper, the UVLS problem is formulated based on the concept of the static voltage stability margin and its sensitivity at the maximum loading point or the collapse point. The voltage stability criterion is modeled directly into the load-shedding scheme. In any UVLS scheme finding the global point is very important for having cost effective economy. The proposed PSO-B-SA methodology is implemented in the undervoltage load shedding scheme for IEEE 14 and 118 bus test systems. In addition to having better solution, the global property of the proposed approach plays an important role in on-line applications. Simulation results show the efficacy and advantage of the proposed scheme

部分文件列表（点击文件名可查看文件内容）

					
									本源码包内暂不包含可直接显示的源代码文件，请下载源码包。