Day-ahead Optimization Schedule for Gas-electric Integrated Energy System Based on Second-order Cone Programming  

作　　者：Yonghui Sun Bowen Zhang Leijiao Ge Denis Sidorov Jianxi Wang Zhou Xu 

机构地区：[1]College of Energy and Electrical Engineering,Hohai University,Nanjing 210098,China [2]DC Operation Maintenance Company of State Grid Hubei Province Electric Power Company,Hubei 443000 China [3]School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China [4]Melentiev Energy Systems Institute,Russian Academy of Sciences,Irkutsk 664033,and he is also with Irkutsk National Research Technical University,Russia

出　　处：《CSEE Journal of Power and Energy Systems》2020年第1期142-151,共10页中国电机工程学会电力与能源系统学报（英文）

基　　金：This work was supported in part by the National Natural Science Foundation of China under Grants 61673161 and 51807134;and in part by the program of fundamental research of the Siberian Branch of Russian Academy of Sciences and carried out within the framework of the research project III.17.3.1,Reg.No.AAAA-A17-117030310442-8.

摘　　要：This paper proposes an optimal day-ahead opti-mization schedule for gas-electric integrated energy system(IES)considering the bi-directional energy flow.The hourly topology of electric power system(EPS),natural gas system(NGS),energy hubs(EH)integrated power to gas(P2G)unit,are modeled to minimize the day-ahead operation cost of IES.Then,a second-order cone programming(SOCP)method is utilized to solve the optimization problem,which is actually a mixed integer nonconvex and nonlinear programming issue.Besides,cutting planes are added to ensure the exactness of the global optimal solution.Finally,simulation results demonstrate that the proposed optimization schedule can provide a safe,effective and economical day-ahead scheduling scheme for gas-electric IES.

关 键 词：Day-ahead optimization schedule integrated energy system natural gas system second-order cone programming 

分 类 号：TM615[电气工程—电力系统及自动化]