摘要
以智能电网的需求响应管理为背景,通过实时电价策略达到节约用电、提高用户用电效用值为目的。文中提出了在供应商和用户信息交互过程中一种基于供应商收入最大化的实时电价模型,该模型构造出在满足用户满意度情况下供应商报酬函数最大化数学模型,首先用户通过计算他们的福利函数最大化从而得到他们的最佳耗电水平,然后供应商在获得用户最佳耗电量的基础上通过计算收入报酬目标函数最大化来向制定相应电价。将该方法与传统的基于用户效用最大化模型相比,仿真结果表明该算法在用户数量较多时效果良好,同时电网平均负荷相对较为稳定不易受到用户数量的增加影响。
Under the background of demand side management in smart grid, through the real - time electricity price strategy to save electricity utilization, improve user utility value for the purpose. This paper proposes a real time pricing algorithm based on income maximization for the future smart grid. As the main goal in demand response management is to solve the energy providers benefit function optimization problem in a way that the satisfaction of consumers can also be achieved, in our proposed algorithm it is assumed that in the first step users optimize their consumption level by solving their welfare optimization problem and then based on the aggregation of users, optimum demand the energy provider offers the new prices by solving its income based objective function. Compare to utility based objective function algorithm, the results show that this method is better when the number of usersincrease and average load is more tolerable.
出处
《物流工程与管理》
2017年第2期98-102,共5页
Logistics Engineering and Management
基金
国家自然科学基金(11171221)
