DocumentCode :
3468247
Title :
Multi-objective optimal strategy of generating and bidding on power selling side considering environmental protection and bidding risk
Author :
Chunhua, Peng ; Huijuan, Sun
Author_Institution :
Sch. of Electr. & Electron. Eng., East China Jiaotong Univ., Nanchang
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
263
Lastpage :
267
Abstract :
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.
Keywords :
environmental factors; genetic algorithms; mathematical analysis; particle swarm optimisation; power generation economics; power markets; pricing; bidding risk; bidding risk exponent; binary particle swarm optimization algorithm; economic operation plan; economic operation simulation calculation; electricity market; environmental protection; environmental protection cost; generation cost; genetic algorithm; hybrid algorithm; mathematical model; multiobjective optimal strategy; power price fluctuation; power selling side; Cost function; Couplings; Electricity supply industry; Environmental economics; Fluctuations; Mathematical model; Power generation; Power generation economics; Protection; Valves; bidding risk; economic operation; electricity market; environmental protection; genetic algorithm; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523415
Filename :
4523415
Link To Document :
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