Intelligent Demand Response Scheme for Energy Management of Industrial Systems

被引:0
|
作者
Mohagheghi, Salman [1 ]
Raji, Neda [1 ]
机构
[1] Colorado Sch Mines, Dept Elect Engn & Comp Sci, Golden, CO 80401 USA
关键词
Demand side management; demand response; energy management; industrial automation system; FUZZY-LOGIC;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Electric demand side management (DSM) focuses on changing the electricity consumption patterns of end-use customers through improving energy efficiency and optimizing allocation of power. Demand response (DR) is a DSM solution that targets residential, commercial and industrial customers, and is developed for demand reduction or demand shifting at a specific time for a specific duration. In the absence of on-site generation or possibility of demand shifting, consumption level needs to be lowered. While non-criticality of loads at the residential and commercial levels allows for demand reduction with relative ease, demand reduction of industrial processes requires a more sophisticated solution. Production constraints, inventory constraints, maintenance schedules and crew management are some of the many factors that have to be taken into account before one or more processes can be temporarily shut down. An intelligent system is designed in this paper for implementation of DR at an industrial site. Based on the various operational constraints of the industrial process, it determines the loads that could be potentially curtailed. Fuzzy/expert systems are used to derive a priority factor for different candidate loads. This information can then be used by the plant operator/DR client to make a comply/opt-out decision during a utility-initiated DR event.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] A Demand Response Energy Management Scheme for Industrial Facilities in Smart Grid
    Ding, Yue Min
    Hong, Seung Ho
    Li, Xiao Hui
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (04) : 2257 - 2269
  • [2] Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
    Palensky, Peter
    Dietrich, Dietmar
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2011, 7 (03) : 381 - 388
  • [3] Intelligent Energy Management of Industrial Loads Considering Participation in Demand Response Program
    Shi J.
    Wen F.
    Cui P.
    Sun L.
    Shang J.
    He Y.
    [J]. Dianli Xitong Zidonghue, 14 (45-53): : 45 - 53
  • [4] Intelligent Demand Response for Industrial Energy Management Considering Thermostatically Controlled Loads and EVs
    Wang, Jidong
    Shi, Yingchen
    Zhou, Yue
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (06) : 3432 - 3442
  • [5] MANAGING INDUSTRIAL ENERGY INTELLIGENTLY Demand response scheme
    Mohagheghi, Salman
    Raji, Neda
    [J]. IEEE INDUSTRY APPLICATIONS MAGAZINE, 2014, 20 (02) : 53 - 62
  • [6] Intelligent Demand Response Scheme for Customer Side Load Management
    Dam, Q. Binh
    Mohagheghi, Salman
    Stoupis, James
    [J]. 2008 IEEE ENERGY 2030 CONFERENCE, 2008, : 158 - +
  • [7] Intelligent energy management of microgrids with flexible demand response
    Suresh V.
    Janik P.
    Kaczorowska D.
    [J]. Renewable Energy and Power Quality Journal, 2020, 18 : 233 - 237
  • [8] Intelligent Energy Demand Management
    Healy, Tim
    Ashton, Kevin
    Brief, Kristin
    [J]. CLEAN TECHNOLOGY 2008: BIO ENERGY, RENEWABLES, GREEN BUILDING, SMART GRID, STORAGE, AND WATER, 2008, : 226 - 229
  • [9] Design of Intelligent Home Energy Management for Demand Response Applications
    Li, Tao
    Xu, Kunpeng
    Qi, Xueqing
    [J]. SOLAR ENERGY MATERIALS AND ENERGY ENGINEERING, 2014, 827 : 78 - 83
  • [10] An Intelligent Home Energy Management System to Improve Demand Response
    Ozturk, Yusuf
    Senthilkumar, Datchanamoorthy
    Kumar, Sunil
    Lee, Gordon
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (02) : 694 - 701