Hybrid Cuckoo Search Algorithm for Optimal Reactive Power Dispatch

カテゴリ: 部門大会

論文No: 252

グループ名: 【B】平成28年電気学会電力・エネルギー部門大会

発行日: 2016/09/05

タイトル(英語): Hybrid Cuckoo Search Algorithm for Optimal Reactive Power Dispatch

著者名: Phuc-Khai Nguyen(芝浦工業大学),藤田 吾郎(芝浦工業大学)

著者名(英語): Phuc-Khai Nguyen|Goro Fujita

キーワード: Optimal reactive power dispatch|Cuckoo Search Algorithm|Teaching-learning-based optimization|shunt capacitors,Optimal reactive power dispatch,Cuckoo Search Algorithm,Teaching-learning-based optimization,shunt capacitors

要約(日本語): Abstract?This paper proposes a Hybrid Cuckoo search algorithm to solve the optimal reactive power dispatch problem.Hybrid Cuckoo search algorithm is a simple combination of the Cuckoo search algorithm and Teaching-learning-based optimization, where the learner phase of Teaching-learning-based optimization is added to improve performance of Cuckoo eggs.The proposed method is applied for solving two tested
cases of optimal reactive power dispatch problem. The objective of this problem is to minimize the power loss while satisfying generator operational constraints of generators, transformers,shunt capacitors and capacity of transmission lines. The results show that the proposed Hybrid Cuckoo search algorithm is better than the conventional Cuckoo search algorithm.

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