上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (12): 1974-1979.

• 电工技术 • 上一篇    下一篇

主辅市场联合投标决策的模糊博弈优化模型

顾洁1,艾学勇2,杨光1，解大1，金之俭1   

  1. （1.电力传输与功率变换控制教育部重点实验室， 上海交通大学 电气工程系， 上海 200240； 2.国家电网河南省电力公司 郑州供电公司， 郑州 450052）
     
  • 收稿日期:2012-10-25
  • 基金资助:

    国家高技术研究发展计划（863）项目（2011AA05A108）

A Fuzzy Game Optimization Model for Energy Market and Ancillary Market Joint Bidding

GU Jie1,AI Xueyong2,YANG Guang1，XIE Da1,JIN Zhijian1
  

  1. (1.Key Laboratory of Control of Power Transmission and Transformation of the Ministry of Education, Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2.Zhengzhou Electric Supply Company of State Grid Power Company, Zhengzhou 450052， China)
  • Received:2012-10-25

摘要：

将博弈论与模糊优化理论相结合，构建了发电商主辅市场联合投标决策模型，在解决多目标优化的同时，充分考虑了该问题中存在的不确定性及发电商间竞争博弈关系.应用所建立的模型，在给定的约束条件下，讨论了发电商如何根据模糊博弈优化理论来确定各自的主辅市场投标容量.

 
 

关键词: 主能量市场, 辅助服务市场, 模糊博弈, 模糊优化, 联合投标, 决策

Abstract:

In the multi-market environment, the  total income of power suppliers is affected by the market mechanism, service cost, service price and market capacity distribution of major energy market and auxiliary service market in which they participate. At the same time, the  bidding strategies of archrivals have a significant influence on the profit, resulting in the fact that the optimal decision-making process of the multi-market capacity distribution of power suppliers is full of great uncertainty. Fuzzy game theory and fuzzy optimization theory were combined to establish a  joint bidding decision model
for power suppliers in major and auxiliary service markets. Multi-objective optimization was completed, and simultaneously the problem of uncertainty and the competition game relationship between power suppliers were fully considered. Using the established model, under certain background, the determination of the corresponding bidding strategies in major/auxiliary market according to the optimal fuzzy game balance for the power suppliers was further discussed.
 

Key words: major energy market, auxiliary services market, fuzzy game, fuzzy optimization, joint bid, decision making

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