基于改进多目标差分进化算法的安全约束动态环境经济调度

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Abstract An enhanced multi-objective differential evolution algorithm (E-MODE) is proposed to solve the dynamic environmental/economic dispatch considering the transmission line power flow constraints. Initialization of population using opposition based learning is introduced to enhance the diversity, and an improved crowding distance calculation method is used to enhance the global convergence of algorithm. Lastly, the compromise dispatch scheme is selected according to the power flow entropy index. The proposed generation dispatch approach is tested on IEEE 30-bus system, the results demonstrate the effectiveness of the proposed generation dispatching method.

Key words： dynamic environmental/economic dispatch (DEED) security constraints multi- objective optimization differential evolution opposition based learning crowding distance

Received: 16 March 2020

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	Articles by authors
	Liao Zongyi
	Wan Wenlue

Cite this article:

Liao Zongyi,Wan Wenlue. An enhanced multi-objective differential evolution algorithm for security constrained dynamic environmental/economic dispatch[J]. Electrical Engineering, 2020, 21(8): 22-27.

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https://dqjs.cesmedia.cn/EN/Y2020/V21/I8/22

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