A Survey of a Residential Load Profile for Demand Side Management Systems

被引:0
作者
Elma, Onur [1 ]
Selamogullar, Ugur S. [1 ]
机构
[1] Yildiz Tech Univ, Dept Elect Engn, Istanbul, Turkey
来源
2017 5TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE) | 2017年
关键词
residential loads profiles; home energy management; demand side management; smart grid; ENERGY-CONSUMPTION; SMART HOME; OPTIMIZATION; APPLIANCES; SCHEME;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Management of residential electricity consumption is one of the important issues for energy efficiency and future smart grid systems since residential demand constitutes large percent of overall electrical energy consumption. Therefore, demand side management systems, named as home energy management systems at the residential level, are being implemented under the new smart grid concept. Analyzing the performances of home energy management systems requires generating different realistic residential demand profiles since the residential demand is highly complex comprising several factors such as occupancy, climate, user preferences, and types of appliances. This study provides the result of a survey analysis that can be used to generate such realistic residential demand profiles. In the survey, information about the user preferences for appliance use time and duration and about user will to be part of a demand control program are obtained. Results of the survey together with experimentally measured power values of appliances are used to produce sample representative load profiles for a weekday and for a weekend. These load profiles can be used in the evaluation of home energy management systems.
引用
收藏
页码:85 / 89
页数:5
相关论文
共 15 条
  • [1] [Anonymous], 2013, MUHENDIS MAKINA DERG
  • [2] Capasso A, 1993, P JT INT POWER C ATH, V2, P866, DOI [10.1109/APT.1993.673918, DOI 10.1109/APT.1993.673918]
  • [3] Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization
    Chen, Zhi
    Wu, Lei
    Fu, Yong
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) : 1822 - 1831
  • [4] COSTANZO GT, 2012, IEEE T SMART GRID, V3, P2157, DOI DOI 10.1109/TSG.2012.2217358
  • [5] Next Generation of Energy Residential Gateways for Demand Response and Dynamic Pricing
    Cuevas, A.
    Lastres, C.
    Caffarel, J.
    Martinez, R.
    Santamaria, A.
    [J]. IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE 2011), 2011, : 543 - 544
  • [6] Dynamic load management in a smart home to participate in demand response events
    Fernandes, Filipe
    Morais, Hugo
    Vale, Zita
    Ramos, Carlos
    [J]. ENERGY AND BUILDINGS, 2014, 82 : 592 - 606
  • [7] Energy savings by energy management systems: A review
    Lee, Dasheng
    Cheng, Chin -Chi
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 : 760 - 777
  • [8] Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications
    Ortiz, Joana
    Guarino, Francesco
    Salom, Jaume
    Corcheroc, Cristina
    Cellura, Maurizio
    [J]. ENERGY AND BUILDINGS, 2014, 80 : 23 - 36
  • [9] Oviedo R.J. M., 2012, IEEE/PES Transmission Distribution Conference Exposition, P1, DOI DOI 10.1109/TDC.2012.6281573
  • [10] An Algorithm for Intelligent Home Energy Management and Demand Response Analysis
    Pipattanasomporn, Manisa
    Kuzlu, Murat
    Rahman, Saifur
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) : 2166 - 2173