[1]Xiao Junming,Zhou Qian,Qu Boyang,et al.Multi-objective Evolutionary Algorithm and Its Application in Electric Power Environment Economic Dispatch[J].Journal of Zhengzhou University (Engineering Science),2016,37(02):1-9.[doi:Multi-objective Evolutionary Algorithm and Its Ap]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
37
Number of periods:
2016 02
Page number:
1-9
Column:
Public date:
2016-04-18
- Title:
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Multi-objective Evolutionary Algorithm and Its Application in Electric Power Environment Economic Dispatch
- Author(s):
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Xiao Junming; Zhou Qian; Qu Boyang; Wei Xuehui
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School of Electronic Information, Zhongyuan University of Technology, Zhengzhou, Henan 450007
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- Keywords:
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multi-objective optimization; multi-objective evolutionary algorithm; power system dispatch; economic environment dispatch
- CLC:
-
-
- DOI:
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Multi-objective Evolutionary Algorithm and Its Ap
- Abstract:
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The energy supply of power system is very important to modern society, and the scientific and effective solution to the problem of environmental economic dispatch of power system is the guarantee of energy supply. The multi-objective evolutionary algorithm has unique advantages in solving the problem of environmental economic dispatch of power system. This paper presses In chronological order, the multi-objective evolutionary algorithm is first introduced, and then the application of the multi-objective evolutionary algorithm in the power system environmental economic dispatching problem is discussed. The direction of development is prospected.