Transmission Line Management Using Multi-objective Evolutionary Algorithm
作者： K. Pandiarajan , C. K. Babulal
DOI: 10.1007/978-3-319-03753-0_29
关键词: Control variable 、 Differential evolution 、 Optimization problem 、 Evolutionary algorithm 、 Transmission line 、 Electric power system 、 Sorting 、 Particle swarm optimization 、 Mathematical optimization 、 Computer science
摘要: This paper presents an effective method of transmission line management in power systems. Two conflicting objectives 1 generation cost and 2 overload are optimized to provide non-dominated Pareto-optimal solutions. A fuzzy ranking-based multi-objective differential evolution MODE is used solve this complex nonlinear optimization problem. The generator real bus voltage magnitude taken as control variables minimize the objectives. ranking employed extract best compromise solution out available solutions depending upon its highest rank. N-1 contingency analysis carried identify most severe lines those selected for outage. effectiveness proposed has been analyzed on standard IEEE 30 system with smooth functions their results compared sorting genetic algorithm-II NSGA-II Differential DE. demonstrate superiority a promising evolutionary algorithm
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