多目标优化分段竞标电力市场的研究

提出了一种兼顾污染物排放量最小和购电费用最小等多目标综合优化的电力市场分段竞标新模型。采用2种算法求解该模型：一是模糊算法．即首先分别求解各单目标分段竞标模型，接着将各目标函数模糊化，然后采用最大满意度法将多目标问题转化为新的单目标分段竞标问题，由此求得兼顾多目标的竞标结果；二是目标函数转化为约束算法，即将污染物排放量作为约束构成新的购电费用最小分段竞标模型。算例仿真结果表明了该模型的有效性。也表明该模型不仅具有分段竞标的优点，还可使经济、环保等多目标综合优化，从而体现竞标机组多因素贡献的公平性。

RESEARCH ON MULTI-OBJECTIVE OPTIMAL BLOCK BIDDING MODEL FOR ELECTRICITY MARKET

This paper presents a novel multi-objective optimization block-bidding model for electricity markets, which take the minimum of the pool purchase cost and the minimum of the pollution into consideration. It also proposes two algorithms to solve the novel multi-objective block-bidding model. One of them is fuzzy algorithm. Firstly, solving two single-objective blocks bidding model by normal algorithm and gaining the value of objective function and the bidding results. Then fuzzifying the multi-objective by using fuzzy sets theory and reformulating it into a new single-objective problem by means of max-min operator. Finally, acquiring the new bidding results for multi-objective optimal by solving the problem. Another algorithm is constraint algorithm. Regarding the minimum of pollution air as a constraint of the minimum pool purchase cost single-objective optimal problem, and solving the problem and gaining the new bidding results of multi-objective optimization. The numerical results show the validity of the model and two algorithms. Besides all benefits of the block bidding model, the model has the benefits of multi-objective optimization, therefore, it can ensure the fairness of multi-factor on generation bidder in electricity market.