Distributionally robust optimization of home energy management system based on receding horizon optimization  

作　　者：Jidong WANG Boyu CHEN Peng LI Yanbo CHE 

机构地区：[1]Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China

出　　处：《Frontiers in Energy》2020年第2期254-266,共13页能源前沿（英文版）

基　　金：supported by the National Key Research and Development Program of China(Grant No.2016YFB0901102).

摘　　要：This paper investigates the scheduling strategy of schedulable load in home energy management system(HEMS)under uncertain environment by proposing a distributionally robust optimization(DRO)method based on receding horizon optimization(RHO-DRO).First,the optimization model of HEMS,which contains uncertain variable outdoor temperature and hot water demand,is established and the scheduling problem is developed into a mixed integer linear programming(MILP)by using the DRO method based on the ambiguity sets of the probability distribution of uncertain variables.Combined with RHO,the MILP is solved in a rolling fashion using the latest update data related to uncertain variables.The simulation results demonstrate that the scheduling results are robust under uncertain environment while satisfying all operating constraints with little violation of user thermal comfort.Furthermore,compared with the robust optimization(RO)method,the RHO-DRO method proposed in this paper has a lower conservation and can save more electricity for users.

关 键 词：distributionally robust optimization(DRO) home energy management system(HEMS) receding horizon optimization(RHO) UNCERTAINTIES 

分 类 号：TK01[动力工程及工程热物理]