Abstract：A new multi-objective optimization model for bidding and generating of thermal power units during the transaction day was established to minimize bidding risk and maximize generating profit, where bidding risk is assessed by probability statistics method based on forecasted electricity prices curves, and emissions cost is included in generation cost, and the coordinated interactive relation between unit output and market price is reflected. Moreover, a new multi-objective optimization algorithm is proposed to solute this model, in which the non-dominated sorting mechanism is integrated with the differential evolution algorithm, and the hybrid algorithm is improved to overcome the premature convergence and search bias problems, and fuzzy set theory is employed to extract the general best solution. Results of case simulation show that the effectiveness to reducing the sensitivity of bidding risk and the contribution to achieving low-risk bidding and high-profit generating of the proposed method.
彭春华, 孙惠娟, 余廷芳. 考虑竞价风险的多目标优化发电研究[J]. 电工技术学报, 2012, 27(2): 210-216.
Peng Chunhua, Sun Huijuan, Yu Tingfang. Multi-Objective Optimization of Thermal Power Units Output Considering the Bidding Risk. Transactions of China Electrotechnical Society, 2012, 27(2): 210-216.
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2012, Vol. 27 
