期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2018
卷号：10
期号：2
页码：406-420
DOI：10.15676/ijeei.2018.10.2.15
出版社：School of Electrical Engineering and Informatics
摘要：This paper proposes an Adaptive Selective Cuckoo Search Algorithm (ASCSA) forsolving bi-objective short-term hydrothermal scheduling (BOSTHTS). The major purpose ofthe BOSTHTS problem is to reduce electric generation fuel cost and polluted emission fromall considered thermal generating units over a scheduled intervals. In addition, the problemalso takes all constraints of hydrothermal power systems such as real power demand of load,limitations of generations and limitations of reservoirs into account. The proposed method isconstructed by tackling all drawbacks of classical Cuckoo Search algorithm (CCSA) so as toshorten number of iterations and fast converge to good solutions. The proposed methodtogether with CCSA and another modified version of CCSA (MCSA) are implemented fortwo different systems with different types of fuel cost form and emission form and resultsfrom these methods are also compared to other existing methods. Objective comparisons andcomputation time comparisons indicate that the proposed method is superior to CCSA,MCSA and other compared methods. As a result, the proposed method is considered to be astrong optimization method for the considered BOSTHTS problem.
关键词：Adaptive selective random walk; new selection technique; multiobjective;hydrothermal power system; fitness function;
