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۱Application of Binary Cat Swarm Optimization Algorithm for Unit Commitment problem
اطلاعات انتشار: اولین کنفرانس ملی الگوریتم های فراابتکاری و کاربردهای آن در علوم و مهندسی، سال
تعداد صفحات: ۱۰
The Unit Commitment (UC) problem is to determine a minimal cost turn–on and turn–off schedule of a set of electrical power generating units to meet a load demand while satisfying a set of operational constraints. The total cost includes fuel, startup, shutdown, and no–load costs. This paper a solution to unit commitment based on a new evolutionary algorithm known as Binary Cat Swarm Optimization (BCSO). In addition, this proposed method involves local search and shuffling process and these are repeated until a required convergence is reached. Tests have been performed in range of 10 up to 100 units systems over a scheduling period of 24 hours. The final results were compared with those obtained BCSO schemes in other same research<\div>
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