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The united optimal operation system of cascade hydropower stations based on multi-agent
Tinghong, Zhao; Zibin, Man; Xueyi, Qi
2008
会议日期October 18, 2008 - October 20, 2008
会议地点Jinan, China
关键词Commerce Computation theory Genetic algorithms Hydroelectric power Multi agent systems Cascade hydroelectric power stations Cascade hydropower stations Competitive prices Electric markets Master-slave synchronization Optimal operation Parallel genetic algorithms Power generation capacities
卷号6
DOI10.1109/ICNC.2008.722
页码571-575
英文摘要With the opening of the electric market of side, the dispatcher scheme by the criteria of the largest power generation capacity has been unable to meet the requirements of cascade hydropower stations' united optimal operation. Aiming at the characteristics of the current electric market of side implementing the price of electricity of time-sharing and surfing the Net at a competitive price. This paper, combining the theory of Multi-Agent with the united optimal operation, sets up the united optimal operation system of cascade hydropower stations based on Multi-Agent. And in the process of the calculation of united optimal operation, this paper establishes a kind of Master-slave Synchronization Parallel Genetic Algorithm based on Multi-Agent. The application of this system not only improve greatly the communication harmony among the cascade hydropower stations group, and improves speed and precision of the optimal operation calculation greatly, providing a good reference for the optimal operation of the Cascade Hydroelectric Power Stations under the environment of power market. © 2008 IEEE.
会议录Proceedings - 4th International Conference on Natural Computation, ICNC 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/116833]  
专题能源与动力工程学院
图书馆
作者单位College of Fluid Power and Control Engineering, Lanzhou University of Technology, Gansu, 730050, China
推荐引用方式
GB/T 7714
Tinghong, Zhao,Zibin, Man,Xueyi, Qi. The united optimal operation system of cascade hydropower stations based on multi-agent[C]. 见:. Jinan, China. October 18, 2008 - October 20, 2008.
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