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The system of load optimal distributing of hydropower station based on multi-agent
Tinghong, Zhao2; Zibin, Man1; Guiquan, Bi2
2008
会议日期December 19, 2008 - December 20, 2008
会议地点Wuhan, China
关键词Computation theory Hydroelectric power Hydroelectric power plants Intelligent computing Multi agent systems Calculation speed Hydropower stations Multi agent Optimal distributions Optimization algorithms Optimizing algorithm Power station Real time
卷号2
DOI10.1109/PACIIA.2008.372
页码483-487
英文摘要In the course of whole operation of the power station, the distribution of the load among the units is a very key course, but the existing optimization algorithm has not reflected the real-time character of load optimal distributing, and because of having no considering repetitiveness of calculation, thus reduced the speed of calculation. This paper combines Multi-Agent theories and the unit's load optimal distribution of power station together, have set up a system of load optimal distribution of hydropower station based on Multi-Agent theories, this system fully utilizes intelligent of Agent and good communication harmony within Multi-Agent system, and store and use the result of load optimal distribution in the past, and combined real-time operating information with optimizing algorithms organically, thus strengthened the real-time character of load optimal distribution, and has improved the calculation speed greatly. © 2008 IEEE.
会议录Proceedings - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008
会议录出版者IEEE Computer Society
语种英语
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/116867]  
专题能源与动力工程学院
土木工程学院
图书馆
作者单位1.Libratory, Lanzhou University of Technology, Gansu, Lanzhou, 730050, China
2.College of Fluid Power and Control Engineering, Lanzhou University of Technology, Gansu, Lanzhou, 730050, China;
推荐引用方式
GB/T 7714
Tinghong, Zhao,Zibin, Man,Guiquan, Bi. The system of load optimal distributing of hydropower station based on multi-agent[C]. 见:. Wuhan, China. December 19, 2008 - December 20, 2008.
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