Generation Scheduling Optimization Model for Energy-saving and Emission-reduction based on Multi-Agent

被引:0
|
作者
Yang Shu-xia [1 ]
Ding Hui [2 ]
Han Qi [1 ]
Cao Yuan [1 ]
机构
[1] N China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] Elect Oversight Off Shandong, Jinan 250002, Peoples R China
关键词
generation scheduling optimization model; multi-agent; fish swarm algorithm;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Energy-saving generation dispatch has become a new subject in electricity market reform. This is guided by three principles: improve energy efficiency, promote energy conservation and realize sustainable development. In this study, a generation scheduling model was established with minimum emissions and minimum cost as the goal. A multi-agent-based generation scheduling optimization model was proposed, constructing seven agents. Finally, taking five generators as an example, the multi-agent-based generation scheduling optimization model was verified by the sample application. The results show that multi-agent-based generation scheduling optimization model is reasonable and feasible for energy-saving generation dispatch.
引用
收藏
页码:4475 / 4480
页数:6
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