考虑水火协调的多目标优化分组分段竞标模型

该文提出了一种解决多目标优化问题的新方法和一个综合考虑水火协调及能源、环境和经济等多目标优化的分组分段电力市场竞标新模型。定义各单目标最优性判据的比值为目标之间当量系数，即通过定义能耗价格系数、环保价格系数等当量系数将多目标问题转化为新的单目标优化问题，从而可用一般单目标算法求解；提出了考虑竞标机组多因素将其评估分组，然后在特定分段上竞标的新思路：算例结果表明了算法的正确性和模型的有效性；该模型具有综合分段竞标和多目标优化优点，符合能源配置原则，体现竞标机组多因素公平性等优点。

A NOVEL MULTI-OBJECTIVE OPTIMAL GROUP AND BLOCK BIDDING MODEL FOR HYDROTHERMAL POWER MARKET

This paper presents a new multi-objective optimization algorithm and a multi-objective optimization group and block bidding model for power market, which comprehensively takes hydrothermal scheduling, energy, environment and economy into consideration. The equivalent price coefficient is defined by means of solving the single-objective optimal problem. The multi-objective optimal problem with different physical units was reformulated into a new single-objective optimal problem by the equivalent price coefficient of energy and environment, and thus, this problem can be solved by normal single-objective optimization algorithm. This paper also proposes that bidding unit group be made by the multi-factor evaluation and the group set the block load level to bid. The numerical result shows that the algorithm is right and the model is effective. Furthermore, it also shows that this model has both the advantages of block- bidding and multi-objective optimization, matching with the rules of energy optimization and ensuring the multi-factor fairness of bidding unit.