A hybrid method of GA and BP for short-term economic dispatch of hydrothermal power systems

被引：16
|
作者：
Meng, XP
Zhang, HG
Tan, WY
机构：
[1] Northeastern Univ, Dept Automat Control, Shenyang 110006, Liaoning, Peoples R China
[2] Changchun Water Conservancy, Dept Elect Power, Changchun 130012, Peoples R China
[3] Elect Power Inst Changchun, Changchun 130012, Peoples R China
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2000年 / 51卷 / 3-4期
关键词：
genetic algorithm BP algorithm; short-term economic dispatch; hydrothermal power system;
D O I：
10.1016/S0378-4754(99)00128-7
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper proposed a fast synthetic genetic algorithm (FSGA). The algorithm has faster convergence speed and higher computation precision, and the number of individuals and populations decreased, respectively. To overcome long training time of back propagation (BP) algorithm, this paper combined FSGA with BP, and applied the hybrid method to short-term economic dispatch of hydrothermal power system. The simulation results demonstrate that the hybrid method is effective and training time is short. (C) 2000 IMACS/Elsevier Science B.V. All rights reserved.
引用
收藏
页码：341 / 348
页数：8
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