Differential Evolution Algorithm for Multi-objective Economic Load Dispatch Considering Minimum Emission Costs

被引：0
|
作者：
Yao, Fang [1 ]
Meng, Ke [3 ]
Xu, Zhao [2 ,3 ]
Dong, Zhao Yang [3 ]
Iu, Herbert [1 ]
Zhao, Jun Hua
Wong, Kit Po [3 ]
机构：
[1] Univ Western Australia, Sch Elect Elect & Comp Engn, Nedlands, WA 6009, Australia
[2] Zhejiang Univ, Sch Elect Engn, Hangzhou, Zhejiang, Peoples R China
[3] Hong Kong Polytech, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2011年
关键词：
Economic load dispatch; different evolution; emission control; optimization; PARTICLE SWARM OPTIMIZATION; PROGRAMMING TECHNIQUES; GENETIC ALGORITHM; SEARCH;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
this paper describes a multi-objective economic load dispatch (ELD) model to minimize the emission cost due to CO2 and N2O. The power system operation costs are minimized under transmission network constraints in ELD. This model will be transformed from single objective economic problem to multi-objective problem to combine both economic and emission dispatch. The model is implemented by Differential Evolution (DE) and a set of numerical experiments for a standard test system is reported.
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页数：5
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