基于Stackelberg博弈定价的电力需求响应激励方法  

Power demand response incentive method based onStackelberg game pricing

作　　者：敬超[1,2,3] 李姗珊[1] JING Chao;LI Shan-shan(School of Information Science and Engineering,Guilin University of Technology,Guilin 541004,China;Guangxi Key Laboratory of Embedded Technology and Intelligent System,Guilin University of Technology,Guilin 541004,China;Guangxi Key Laboratory of Trusted Software,Guilin University of Electronic Technology,Guilin 541004,China)

机构地区：[1]桂林理工大学信息科学与工程学院,广西桂林541004 [2]桂林理工大学广西嵌入式技术与智能系统重点实验室,广西桂林541004 [3]桂林电子科技大学可信软件重点实验室,广西桂林541004

出　　处：《计算机工程与设计》2023年第12期3729-3737,共9页Computer Engineering and Design

基　　金：国家自然科学基金项目(61802085、61862019);广西自然科学基金项目(2020GXNSFAA159038、2017GXNSFAA198223);广西可信软件重点实验室基金项目(kx202011)。

摘　　要：结合多租户数据中心的特点,通过考虑多租户数据中心的电力定价问题提出一种基于非线性规划的高效激励定价方法。建立需求-响应模型,及其相关的成本和收益函数;为反映需求方与响应方的定价交互,采用Stackelberg博弈进行建模,证明了该模型下纳什均衡点的存在性;基于非线性规划方法求解最优得到纳什均衡点,即满足需求方成本最低和响应方利益最大化的目的。将设计的方法与其它经典的最优化方法进行比较,实验结果表明,提出方法能获得最佳的电力定价,达到需求响应方共赢的目的,时间复杂度低。To tackle the issue of demand response,an efficient incentive pricing method was proposed based on nonlinear programming by considering the power pricing problem of multi-tenant data centers in combination with the characteristics of multi-tenant data centers.The demand-response model,cost model and net-profit functions were established,respectively.A Stackelberg game was setup to reflect the pricing interaction between the demand and response side.The existence of the Nash equilibrium under such model was strictly proved.A non-linear programming based method was designed and implemented to find the point of Nash equilibrium with the aim of minimizing the cost on the demand side and maximizing the profit on the response side.The proposed method was compared with the other classical optimization methods.Experimental results show that the proposed method can not only obtain the best electricity pricing and achieve the goal of win-win for the demand and response side,but also has low time complexity.

关 键 词：电力需求响应 STACKELBERG博弈 电力定价 非线性规划 纳什均衡 多租户数据中心 定价交互 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]