粒子群优化
电压
甩负荷
模拟退火
数学优化
控制理论(社会学)
计算机科学
最优化问题
边距(机器学习)
方案(数学)
数学
电力系统
工程类
物理
功率(物理)
电气工程
控制(管理)
量子力学
人工智能
数学分析
机器学习
作者
N. Sadati,Turaj Amraee,A.M. Ranjbar
标识
DOI:10.1016/j.asoc.2008.09.005
摘要
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. Under-voltage 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 under-voltage 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.
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