Hourly Electricity Demand Response in the Stochastic Day-Ahead Scheduling of Coordinated Electricity and Natural Gas Networks

被引:242
作者
Zhang, Xiaping [1 ]
Shahidehpour, Mohammad [1 ,2 ]
Alabdulwahab, Ahmed [2 ,3 ]
Abusorrah, Abdullah [2 ,3 ]
机构
[1] IIT, Galvin Ctr Elect Innovat, Chicago, IL 60616 USA
[2] King Abdulaziz Univ, Renewable Energy Res Grp, Jeddah 21413, Saudi Arabia
[3] King Abdulaziz Univ, Dept Elect & Comp Engn, Jeddah 21413, Saudi Arabia
关键词
Hourly demand response; mixed-integer programming; natural gas transmission system; stochastic security-constrained unit commitment; POWER; SYSTEM; IMPACT;
D O I
10.1109/TPWRS.2015.2390632
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper studies the role of hourly economic demand response in the optimization of the stochastic day-ahead scheduling of electric power systems with natural gas transmission constraints. The proposed coordinated stochastic model (referred to as EGTran) considers random outages of generating units and transmission lines, and random errors in forecasting the day-ahead hourly loads. The Monte Carlo simulation is applied to create multiple scenarios for representing the coordinated system uncertainties. The nonlinear natural gas network constraints are linearized and incorporated into the stochastic model. Numerical results demonstrate the benefits of applying the hourly economic demand response for enhancing the scheduling coordination of natural gas and electricity networks. It is demonstrated that electricity demand response would offer a less volatile hourly load profile and locational marginal prices, and less dependence on natural gas constraints for the optimal operation of electric power systems. The proposed model for EGTran could be applied by grid operators for the hourly commitment and dispatch of power system units.
引用
收藏
页码:592 / 601
页数:10
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