Optimization of electric power leveling systems by a novel cluster-structured GA with masking

被引：0
|
作者：
Itoh J. [1 ]
Fujii T. [2 ]
Funabiki S. [1 ]
机构：
[1] Department of Electronic and Control Systems Engineering Interdisciplinary, Faculty of Science and Engineering, Shimane University, Matsue 690-8504, 1060, Nishikawatsu-cho
[2] Department of Electrical Engineering and Information Science, Kure National College of Technology, Kure 737-8506, 2-2-11, Agaminami
来源：
IEEJ Transactions on Power and Energy | 2010年 / 130卷 / 12期
关键词：
Clustering; CSGA; Hybrid algorithms; Masking; SimE;
D O I：
10.1541/ieejpes.130.1125
中图分类号：
学科分类号：
摘要：
Power fluctuations of the rolling mill may cause the instability of electric power systems, and increase the cost of the electric power facility and electricity charges. Therefore, in order to compensate the power fluctuations, the development of the electric power-leveling systems (EPLS) is very important in the future electric power system. The ERLS with a SMES has been proposed as one of the countermeasures for the electric power quality improvement. However, the SMES is very expensive and it is difficult to decide the gains of the controller. It is essential in the practical use that the reduction of SMES capacity is realized. This paper proposes a new optimization method of the EPLS. The proposed algorithm is Cluster-Structured GA with Masking (CSGA). The optimization of the EPLS can be achieved by the proposed CSGA compared to the GA. © 2010 The Institute of Electrical Engineers of Japan.
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页码：1125 / 1131+11
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