Based on multi-agent optimize the operation of the power plant unit of assessment management system | |
Zhao, Ting Hong; Sun, Hai Tao; Jiang, Tao; Zhang, Peng; Yang, Li Zhi | |
2008 | |
会议日期 | December 12, 2008 - December 13, 2008 |
会议地点 | Xiamen, China |
关键词 | Educational technology Multi agent systems Power plants Competitive power Comprehensive assessment Electric systems Factory control Management systems Multi agent Optimize and run Systematic frame |
卷号 | 2008 |
期号 | 3 |
DOI | 10.1049/ic:20080284 |
页码 | 214-219 |
英文摘要 | With further promotion of the electric system reform, how to optimize and operate better, it is the important problem of the competitive power of improving the power plant. Operation of the aircrew of power plant optimizes application in the power plant of system many, but in practical application , because of the human factor , operate the system of optimizing and has not got very good implementation , have reliable basis in optimizing systematic adjustment to the more important thing is to operate personnel, influencing the result of optimizing directly. On this basis, this text proposes that the level of factory controls the optimization under the platform of information system (MAS ) and runs and combines with optimum management, optimize the systematic frame of aid decision of guiding optimum management of comprehensive assessment of the result, have offered the new thoughtcast for the thing that operate and optimize better implementation while solving the power system. © 2008 IET. |
会议录 | IET Seminar Digest
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会议录出版者 | Institution of Engineering and Technology |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/116938] ![]() |
专题 | 兰州理工大学 |
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 | Zhao, Ting Hong,Sun, Hai Tao,Jiang, Tao,et al. Based on multi-agent optimize the operation of the power plant unit of assessment management system[C]. 见:. Xiamen, China. December 12, 2008 - December 13, 2008. |
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