Framework of Residential Demand Aggregation With Financial Incentives

被引:100
作者
Hu, Qinran [1 ]
Li, Fangxing [1 ]
Fang, Xin [1 ]
Bai, Linquan [1 ]
机构
[1] Univ Tennessee, Dept EECS, Knoxville, TN 37996 USA
关键词
Demand response; power system economics; residential demand aggregation; smart grid; load serving entity; HOME ENERGY MANAGEMENT; OPTIMIZATION; APPLIANCES;
D O I
10.1109/TSG.2016.2631083
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
The development of intelligent demand-side management with automatic control enables a large amount of residential demands to provide efficient demand-side ancillary services for load serving entities. In this paper, we introduce the concept of a comfort indicator, present an advanced reward system, and finally propose a framework for aggregating residential demands enrolled in incentive-based demand response (DR) programs. The proposed framework not only allocates load serving entities' demand reduction requests among residential appliances quickly and efficiently without affecting residents' comfort levels but also rewards residential consumers based on their actual participation. Also, since the framework is designed with the practical considerations of simplicity and efficiency, it can be utilized as a quick implementation for existing pilot development works. The effectiveness and merit of this framework are demonstrated and discussed in the comparison studies with conventional incentive-based DR.
引用
收藏
页码:497 / 505
页数:9
相关论文
共 30 条
[1]  
[Anonymous], 2008, EN US AUSTR RES SECT
[2]  
[Anonymous], 1997, ASHRAE HDB FUND, P27
[3]  
[Anonymous], 2014, MONTHL EN REV, P109
[4]  
Blaver A., 2011, TECH REP
[5]   Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy [J].
Callaway, Duncan S. .
ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (05) :1389-1400
[6]   Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization [J].
Chen, Zhi ;
Wu, Lei ;
Fu, Yong .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) :1822-1831
[7]  
Chong C. Y., 1979, Proceedings of the 18th IEEE Conference on Decision and Control Including the Symposium on Adaptive Processes, P264
[8]   MavHome: An agent-based smart home [J].
Cook, DJ ;
Youngblood, M ;
Heierman, EO .
PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM 2003), 2003, :521-524
[9]  
Dunstan C., 2011, THINK SMALL AUSTR DE, P1
[10]  
Eto J. H., 2011, P ANN HAW INT C SYST, P2012