Application of Constriction Factor Particle Swarm Optimization to Optimum Load Shedding in Power System
作者： Ahmad Reza Malekpour , Ali Reza Seifi
DOI: 10.5539/MAS.V4N7P188
关键词: Electric power system 、 Load Shedding 、 Mathematical optimization 、 Genetic algorithm 、 Convergence (routing) 、 Transmission system 、 Steady state 、 Particle swarm optimization 、 Computer science
摘要: Load shedding is an important action during contingency situations in electrical power systems. This paper presents a new application of constriction factor particle swarm optimization (CPSO) technique for solving the steady state load (SSLS) problem, due to capacity deficiency conditions caused by unscheduled outages bulk generation and transmission system. The problem formulated minimize sum curtailed restore system its normal security operation conditions. feasibility proposed approach demonstrated compared with genetic algorithm (GA) terms solution quality convergence properties over realistic test
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