Multiobjective Generation Dispatch using Big-Bang and Big-Crunch (BB-BC) Optimization
نویسنده
چکیده
Big – Bang and Big – Crunch (BB-BC) optimization method for multioptimization of economic load dispatch and emission dispatch of thermal power generating stations is presented using weighted sum method, trade-off solutions are obtained assuming decision makers (DM) requirements by solving optimal power flows. BB-BC optimization which is a nonderivative, population search optimization procedure developed based on Universal Evolution, is simple to code and fast optimization method trade-off (pareto) solution obtained by BB-BC is compared with well researched most popular PARTICLE SWARM OPTIMIZATION for two typical power system networks, IEEE-25(Gangour) and IEEE-30 bus systems. Outcome of comparison suggests that BB-BC optimization solutions are as superior as PSO
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