Demand Response for Industrial Facilities

被引:5
作者
Zaidi, Bizzat Hussain [1 ]
Khan, Sarah Sarni [1 ]
Farooqui, Falak Naz [1 ]
Razaque, Ambreen Abdul [1 ]
机构
[1] DHA Suffa Univ, Dept Elect Engn, Karachi, Pakistan
来源
2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC) | 2020年
关键词
Demand Response (DR); State Task Network (STN) model; Smart Grid; Maximum Demand (MD) limit; Peak Demand; SIDE MANAGEMENT; EFFICIENCY;
D O I
10.1109/itec48692.2020.9161503
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
Demand Response (DR) is a key technique in Smart Grid to reduce the peak demand cycle of electrical power. Its implementation in industries is critical, since they are the major consumers of electricity, and play a pivotal role in the economics of a country. In this study, a state-task network (STN) for a flour mill is utilized to develop a DR energy management scheme. The specific DR algorithm determines the optimal operating points for schedulable task (ST), to manage electrical power demand between peak and off- peak periods. The results exhibit that the DR scheme will act as a tool to reduce the electricity consumption cost up to 38% without compromising the production process. This cost effective DR scheme is a reality which is feasible to implement on all industrial processes.
引用
收藏
页码:760 / 765
页数:6
相关论文
共 24 条
[1]   Electric Demand Response Management for Distributed Large-Scale Internet Data Centers [J].
Chen, Zhi ;
Wu, Lei ;
Li, Zuyi .
IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) :651-661
[2]   Toward a Sustainable Modern Electricity Grid: The Effects of Smart Metering and Program Investments on Demand-Side Management Performance in the US Electricity Sector 2009-2012 [J].
Corbett, Jacqueline ;
Wardle, Katherine ;
Chen, Chialin .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2018, 65 (02) :252-263
[3]   A Demand Response Energy Management Scheme for Industrial Facilities in Smart Grid [J].
Ding, Yue Min ;
Hong, Seung Ho ;
Li, Xiao Hui .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (04) :2257-2269
[4]  
Ding Y, 2013, INT CONF SMART GRID, P241, DOI 10.1109/SmartGridComm.2013.6687964
[5]   A double-cladding fiber curvature sensor based on the extrinsic Fabry-Perot interferometer [J].
Fu Xing-hu ;
Wang Dong ;
Liu Lian-xu ;
Liu Fan ;
Wen Jing ;
Fu Guang-wei ;
Bi Wei-hong .
OPTOELECTRONICS LETTERS, 2019, 15 (01) :6-10
[6]   A framework to implement supply and demand side contingency management in reliability assessment of restructured power systems [J].
Goel, Lalit ;
Aparna, Viswanath P. ;
Wang, Peng .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (01) :205-212
[7]  
Hirst E., 2002, IEEE Power Engineering Review, V22, P16, DOI 10.1109/MPER.2002.1045557
[8]   Efficiency-Risk Tradeoffs in Electricity Markets with Dynamic Demand Response [J].
Huang, Qingqing ;
Roozbehani, Mardavij ;
Dahleh, Munther A. .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (01) :279-290
[9]   A GENERAL ALGORITHM FOR SHORT-TERM SCHEDULING OF BATCH-OPERATIONS .1. MILP FORMULATION [J].
KONDILI, E ;
PANTELIDES, CC ;
SARGENT, RWH .
COMPUTERS & CHEMICAL ENGINEERING, 1993, 17 (02) :211-227
[10]  
Li N., IEEE T SMART GRID