Day-ahead Electricity Energy Market Score Clearing Decision Introducing Power Quality Insurance Mechanism

In view of the situation that the current day-ahead electricity energy market is based on prices as the single clearing basis, this paper proposes a decision-making method for day-ahead electricity energy market clearing based on the entropy weight method. First, the paper introduces the principal parts involved in clearing, and their main functions and interactions, and describes the basic principles of the method. Secondly, the scoring clearing decision model is constructed, including the on-grid power quality insurance model and the clearing profit model for the individual parts. Thirdly, a scoring and clearing decision-making index system is constructed, which mainly includes the definitions and specific calculation methods of seven indicators: the on-grid electricity price, the power generation energy category, the on-grid power quality level, the deviation rate of declared electricity quantity, the power generation stability, the coal-fired cost and the environmental pollution control cost. Then, based on the entropy weight method, the weight of each clearing decision index is calculated, and the scores in each clearing period of each power producer are calculated with the fuzzy theory. Finally, according to the scores in each period, the market operation agencies publish the results of liquidation and punishment. The example results show the effectiveness and practicability of the proposed method. © 2022, Power System Technology Press. All right reserved.