期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：5
语种：English
出版社：Journal of Theoretical and Applied
摘要：Optimal power flow (OPF) is known as one of the most important planning and scheduling tools in electrical power systems. The OPF problem is a non-convex optimization problem, therefore, the applications of meta-heuristic algorithms in the OPF problem have been gained more attentions in recent years. In this paper, a modified cuckoo search algorithm (MCSA) is proposed to solve OPF problem. The proposed method has been developed on the original cuckoo search algorithm to improve the quality of the optimal solutions. Modifications include additional information exchanges between the top eggs, or the best solutions. The new algorithm is implemented to the OPF problem so as to minimize the total generation cost when considering the equality and inequality constraints. In order to validate of the proposed algorithm, it is applied to the standard IEEE 30-bus and IEEE 57-bus test systems. The results show that the proposed technique provides better solutions than other heuristic techniques reported in literature.
关键词：Modified cuckoo search algorithm;Optimization;Optimal power flow;Power system
