[1]朱永胜,王杰.采用MOEA/D算法的含风电系统环境经济调度[J].郑州大学学报(工学版),2014,35(04):96-100.[doi:10.3969/j.issn.1671-6833.2014.04.023]
ZHU Yongsheng,WANG Jie.Environmental Economic DispatchIntegrating Wind Power Adopting MOEA/D Algorithm[J].Journal of Zhengzhou University (Engineering Science),2014,35(04):96-100.[doi:10.3969/j.issn.1671-6833.2014.04.023]
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采用MOEA/D算法的含风电系统环境经济调度(
)
《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]
- 卷:
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35
- 期数:
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2014年04期
- 页码:
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96-100
- 栏目:
-
- 出版日期:
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2014-08-30
文章信息/Info
- Title:
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Environmental Economic DispatchIntegrating Wind Power Adopting MOEA/D Algorithm
- 作者:
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朱永胜; 王杰
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- Author(s):
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ZHU Yongsheng; WANG Jie
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1.School of Eleetrieal Enginering, 2hengzhou University, 2hengzhou 450001 , China; 2. School of Electronie and informationEngineering,Zhongyuan University of Technology , Zhengzhou 450007, China
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- Keywords:
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wind power; EED; multi-objeetive evolutionary algorithm ; MOEA/D:Pareto oplimal front
- 分类号:
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TM732
- DOI:
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10.3969/j.issn.1671-6833.2014.04.023
- 文献标志码:
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A
- Abstract:
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The Environmental Eeonomie Dispateh ( EED) model integrating wind power is established. TheMulti-objeetive Evolutionary Algorithm based on Deeomposition ( MOEA/D) is proposed to solve the modelwith the constraint handling methods, normalization and mutation operation to improve the perormanee of thealgorithm and maintain the diversity of solutions, which ean obtain the ideal Pareto oplimal front. Simulationtesls were perlormed and the results show that, through comparative analysis with other oplimizalion algorithms.the MOEA/D is more feasible and effective in solving EED problems with wind power.
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