Multi-objective optimal strategy of generating and bidding on power selling side considering environmental protection and bidding risk

被引:0
|
作者
Peng Chunhua [1 ]
Sun Huijuan [1 ]
机构
[1] E China Jiaotong Univ, Sch Elect & Elect Engn, Nanchang, Peoples R China
关键词
bidding risk; economic operation; electricity market; environmental protection; genetic algorithm; particle swarm optimization;
D O I
10.1109/DRPT.2008.4523415
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to guarantee generating and bidding of generating side in electricity market with minimum emission, low risk and maximal profit, the linkage between the unit output change and the power price fluctuation was studied in this paper, and a mathematical model of optimal unit output in the deal day was established to maximize profit, which synthesized the bidding risk exponent, environmental protection cost, generation cost and unit valve point effect. So the economic operation plan of unit and a reasonable scheme of generating and bidding were achieved by the proposed model. To this model with non-linear and non-convex characteristic, a hybrid algorithm based on genetic algorithm and binary particle swarm optimization algorithm was designed for its solution. The feasibility and validity of the proposed method was demonstrated with the results of the economic operation simulation calculation and analysis using an applied example.
引用
收藏
页码:263 / 267
页数:5
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