Load Dispatch Optimization of AGC System Based on Improved Genetic Algorithm

被引：0
|
作者：
Wen, Zhiwei [1 ]
Chen, Biao [1 ]
机构：
[1] Chinese Acad Sci, Inst Elect Engn, Beijing, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) AND IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) | 2017年
关键词：
automatic generation control; coal consumption; genetic algorithm; load Dispatch; thermal power plant;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The characteristics of coal consumption of thermal power plants are typical nonlinear and time-varying. It's difficult to obtain an accurate model by traditional method. A multi-objective optimization method based on improved genetic algorithm for load Dispatch of generator units has been proposed. The influence factors of load critical point and response rate has been studied. The genetic programming algorithm is used to automatically fit the coal consumption characteristic curve of the generator units. By adjusting the weights of factors, dynamic dispatch model based on rapidity and economy has been constructed. Simulation result shows the effectiveness in meeting the dispatch requirements and reducing the coal consumption.
引用
收藏
页码：278 / 281
页数：4
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