工业工程2017，Vol.20Issue(1)：12-19,8.DOI:10.3969/j.issn.1007-7375.e16-3168
考虑消费者激励因素的智能电网多零售商多用户实时定价策略
Real-time Pricing Scheme Considering Incentive Factor between Multi-retailers and Multi-users in Smart Grid
摘要
Abstract
As a crucial part of demand response management (DRM) in smart grid, real-time pricing has become one of the open research hot spots. In order to optimize energy consumption, a Stackelberg game model is established to study the real-time pricing in view of the interaction behaviors between multiple power retailers and multiple users by using game theory. The existence of equilibrium is proved and analyzed. After that, a distributed algorithm is proposed to solve the equilibrium with only local information. In addition, an incentive factor for regulating the real-time electricity price information of retailers is put forward for keeping the power system operation stability and power supply and demand balance. Numerical simulation results show that the proposed algorithm converges quickly and the appropriate incentive factors may improve the satisfaction of users.关键词
智能电网/需求响应管理/实时电价/激励因子/Stackelberg博弈Key words
smart grid/demand response management/real-time pricing/incentive factor/Stackelberg game分类
数理科学引用本文复制引用
代业明,高岩,朱红波,金锋,袁光辉..考虑消费者激励因素的智能电网多零售商多用户实时定价策略[J].工业工程,2017,20(1):12-19,8.基金项目
国家自然科学基金资助项目(11171221) （11171221）
高等学校博士学科点专项科研基金项目(20123120110004) （20123120110004）
美国IBM公司共享大学项目(SUR) （SUR）
