双源供电的智能电网实时定价策略  

Real time pricing strategy for smart grid with dual energy power supply

作　　者：高海龙 高岩[1] GAO Hailong;GAO Yan(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《智能计算机与应用》2023年第9期44-50,58,共8页Intelligent Computer and Applications

基　　金：国家自然科学基金(72071130)。

摘　　要：随着全球能源危机和环境问题的加剧,多能源协调供电已是大势所趋。智能电网实时定价是调节智能电网供需平衡,实现节能环保、保障用户和电能提供者最大化效益的有效手段。因此,本文将以清洁能源与传统能源双源供电为背景,以实现社会福利最大化为目标,建立了一个基于KKT条件的智能电网实时定价模型,并在模型求解过程中,提出一种新的光滑逼近函数以替代KKT系统中的互补条件,进而利用BFGS算法求解其近似平滑方程组。仿真结果验证了双源供电实时定价策略,在拉低电价、增加电力供需与增进社会福利方面的可行性与有效性。With the aggravation of the global energy crisis and environmental problems,the coordinated power supply of multiple energy sources has become a general trend.Smart grid real-time pricing is an effective means to adjust the balance between supply and demand of smart grid,achieve energy conservation and environmental protection,and ensure the maximum benefits of users and power providers.Therefore,this paper will set up a smart grid real-time pricing model based on KKT conditions under the background of clean energy and traditional energy dual source power supply,with the goal of maximizing social welfare.In the process of solving the model,a new smooth approximation function is proposed to replace the complementary conditions in KKT system,and then BFGS algorithm is used to solve its approximate smooth equations.The simulation results show that the proposed real-time pricing strategy for dual source power supply is feasible and effective in reducing electricity prices,increasing power supply and demand and improving social welfare.

关 键 词：智能电网 实时定价 多源供电 KKT条件 BFGS算法 

分 类 号：TM743[电气工程—电力系统及自动化]