计算机应用研究2017，Vol.34Issue(9)：2605-2609,5.DOI:10.3969/j.issn.1001-3695.2017.09.009
智能电网分类用户实时电价算法研究
Research on real-time pricing algorithm for classified subscribers on smart grid
摘要
Abstract
It is few to real-time pricing (RTP) according to subscribers' classification in the present smart grid research.As the big difference of various electricity price in China,this paper classified the subscribers as the residents,commercial and industrial subscribers and built the utility functions based on the concept of microeconomics for the classified subscribers.The iteration based on a Lagrangian dual algorithm obtained the optimal power consumption,the real-time electricity price and the aggregate welfare of the classified subscribers.Compared with time of use (TOU) ladder electricity price in Shanghai,the electricity consumption of all subscribers is more stable and the welfare of industrial and commercial subscribers is higher after using the RTP.The electricity behavior of residential subscribers is the most sensitive to the RTP and has a big fluctuation and the welfare of residential subscribers using RTP is lower than that using TOU ladder electricity price.The proposed RTP model and algorithms have the advantages of peak load shifting,smoothing the aggregate load,balancing the supply and demand of the power grid,and improving the total welfare benefits of all subscribers.关键词
智能电网/实时电价/分类用户/效用最大化Key words
smart grid/real-time pricing/classified subscribers/utility maximization分类
信息技术与安全科学引用本文复制引用
刘博,李军祥,高岩..智能电网分类用户实时电价算法研究[J].计算机应用研究,2017,34(9):2605-2609,5.基金项目
国家自然科学基金资助项目(71572113,11171221,71271138,71303157,71202065,71432007) （71572113,11171221,71271138,71303157,71202065,71432007）
上海市高峰高原学科建设项目(XTKX2012,S1201YLXK) （XTKX2012,S1201YLXK）
上海市教委创新基金资助项目(14YZ089,14YZ088) （14YZ089,14YZ088）
上海市大学生创新项目(SH2015056,SH2016064,XJ2016088,XJ2016092) （SH2015056,SH2016064,XJ2016088,XJ2016092）
