基于博弈论和改进PageRank的电力市场出清方式评价方法

电力市场现行的出清方式主要有边际统一出清和高低匹配出清，不同的出清方式会影响市场结构和市场参与方的报价策略。文章介绍了2种出清方式的模型，并提出了一套出清方式评价指标体系，从市场结构、市场安全性、市场经济性、社会福利和环境友好性这5个方面对2种出清方式进行全面评价。提出的评价方法首先基于博弈论确定综合权重，避免了单一使用层次分析法或熵权法的片面性。此外，将改进后的PageRank法用于电力市场出清方式的评价问题，考虑不同评价指标之间的作用关系得到转移权重，对综合权重加以修正，得到准确可靠的评价结果。最后，采用西北-山东跨区电量交易全年各月集中竞价的数据作为算例对提出的评价方法进行验证。算例结果表明，提出的评价指标体系可以整体地反映2种出清方式在各方面的优劣性，提出的评价方法具备有效性和准确性。

Evaluation Method for Electricity Market Clearing Model Based on Game Theory and Improved PageRank

Current clearing models of electricity market mainly include marginal clearing and high-low matching clearing. Clearing models may have influence on the structure of the electricity market and the bidding strategies of market participants. In this paper， two clearing models are introduced and an appraisement index system is proposed. The proposed evaluation method evaluates two clearing models from various aspects including market structure， market security， market economy， social welfare and environmental friendliness. First， it determines the comprehensive weight according to game theory， which avoids the one-sidedness caused by only using AHP or entropy method. In addition， for the reason that the traditional evaluation method neglects the influence among the indexes， an improved PageRank method is used to provide evaluation scheme， which considers the relationship among different indexes and obtains the transfer weights. Then the comprehensive weights can be revised to achieve a precise and reliable evaluation result. Finally， the monthly Northwest-Shandong cross-regional electricity trading data of the centralized bidding is studied to prove the effectiveness of the proposed method. The case studies show that the appraisement index system can reflect the advantages and disadvantages of the two clearing models comprehensively and accurately.