Fuzzy Comprehensive Evaluation Based On Data Mining, Applied Research, Assessment Of The Bidding Capacity Of The Electricity Market Unit

The evaluation of the ability of bidding units is one of the most important research projects in deregulated power market. At present, some researchers regard the bidding price as the only index to estimate the ability of bidding units. However, the author presents a novel framework that takes various factors into consideration, including bidding price, market demand, SMP, minimal and maximal output of the units, characteristics of costs, time constraint on starting up and cease, ramp rate and so on. Therefore, this novel evaluation index system could precisely demonstrate the bidding units' technological and economical characteristics.The basic theory of data mining is introduced in this paper, especially the association rule is investigated and an improved Apriori algorithm is proposed and realized here. The weight's value is determined by expert's knowledge in normal fuzzy assessment model. A novel fuzzy assessment model is also presented in this paper. In this novel model, the weight's value is improved by data mining to find association among many factors.Based on the theoretical study, the improved Apriori algorithm to the generation bidding database was adopted so that the association among various factors is discovered. Thus, the weight value of multi-factors was adjusted. Finally, the novel fuzzy assessment model for generation bidding based on the data mining is set up. The numerical results show that the novel fuzzy assessment is right and effective. At the same time, the application software system of bidding unit's ability assessment is also designed.