共 48 条
Chaotic differential bee colony optimization algorithm for dynamic economic dispatch problem with valve-point effects
被引:89
作者:
Lu, Peng
Zhou, Jianzhong
[1
]
Zhang, Huifeng
Zhang, Rui
Wang, Chao
机构:
[1] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China
关键词:
Dynamic economic dispatch;
Bee colony optimization;
Chaotic sequences;
Chaotic local search;
Heuristic constraint handling;
PARTICLE SWARM OPTIMIZATION;
CHEMICAL-REACTION OPTIMIZATION;
EVOLUTION ALGORITHM;
HARMONY SEARCH;
GENERATORS;
UNITS;
PSO;
D O I:
10.1016/j.ijepes.2014.04.028
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Dynamic economic dispatch (DED) plays an important role in thermal system operation, and it also presents non-smooth and non-convex characteristics while considering valve-point effects. In this paper, chaotic differential bee colony optimization algorithm (CDBCO) is adopted to solve DED problem considering valve-point effects. To increase the global search ability, chaotic sequences are applied to generate candidate solutions and a new searching mechanism based on DE/best/1 strategy and feasibility method is used to generate new solutions. Moreover, a chaotic local search (CLS) method is used to help bee colony optimization (BCO) overcome the drawback of premature convergence and increase the local exploitation capability. During the optimal process, a heuristic constraint handling strategy is introduced to deal with the various constraints of DED problem. Finally, the feasibility and effectiveness of the proposed CDBCO algorithm is proved by four test cases units and compared with other methods reported in recent literatures. The simulation results show that the proposed method can get higher-quality solutions with short computational time. (C) 2014 Elsevier Ltd. All rights reserved.
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页码:130 / 143
页数:14
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