Home energy management incorporating operational priority of appliances

被引:116
作者
Rastegar, Mohammad [1 ]
Fotuhi-Firuzabad, Mahmud [1 ]
Zareipour, Hamidreza [2 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Ctr Excellence Power Syst Control & Management, Tehran, Iran
[2] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
关键词
Home energy management; Demand response; Priority of appliances; Reliability cost; Energy cost; Electricity tariff; LOAD MANAGEMENT; SMART HOME; DEMAND; CONSUMPTION; OPTIMIZATION;
D O I
10.1016/j.ijepes.2015.07.035
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
Home energy management (HEM) schemes persuade residential customers to actively participate in price-based demand response (DR) programs. In these price-based HEM methods, a controller schedules the energy consumption of household's controllable appliances in response to electricity price signals, considering various customer preferences. Although numerous methods have been recently proposed for HEM application, prioritizing the operation of controllable appliances from the customer's viewpoint in price-based HEM has not been addressed, which is the focus of the present paper. To do this, the value of lost load (VOLL) of each appliance is defined to indicate the operational priority of that appliance from the customer perspective. Considering appliances' VOLL, electricity tariffs, and operational constraints of appliances, an optimization problem is proposed to minimize customer energy and reliability costs. The output of the proposed HEM would be the optimum scheduling of household electrical demand. Numerical studies illustrate the effectiveness of the proposed HEM method in a smart home, considering different time-varying electricity pricings. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:286 / 292
页数:7
相关论文
共 50 条
  • [1] Home Energy Management Systems (HEMSs) with Optimal Energy Management of Home Appliances Using IoT
    Jo, Hyung-Chul
    Park, Hyang-A
    Kwon, Soon-Young
    Cho, Kyeong-Hee
    ENERGIES, 2024, 17 (12)
  • [2] Home energy management in off-grid dwellings: Exploiting flexibility of thermostatically controlled appliances
    Tostado-Veliz, Marcos
    Bayat, Mohammad
    Ghadimi, Ali Asghar
    Jurado, Francisco
    JOURNAL OF CLEANER PRODUCTION, 2021, 310
  • [3] Incorporating Home Energy Management in Distribution System Reliability Evaluations
    Rastegar, Mohammad
    2017 25TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2017, : 1435 - 1439
  • [4] Optimal scheduling of household appliances for smart home energy management considering demand response
    Lu, Xinhui
    Zhou, Kaile
    Chan, Felix T. S.
    Yang, Shanlin
    NATURAL HAZARDS, 2017, 88 (03) : 1639 - 1653
  • [6] A hybrid energy management approach for home appliances using climatic forecasting
    Kaur, Jasmeet
    Bala, Anju
    BUILDING SIMULATION, 2019, 12 (06) : 1033 - 1045
  • [7] Home appliances energy management based on the IoT system
    Hosseinian, Heliasadat
    Damghani, Hamidreza
    Damghani, Leila
    Nezam, Golnoosh
    Hosseinian, Hediyehsadat
    INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, 2019, 10 (01): : 167 - 175
  • [8] Unsupervised Energy Disaggregation of Home Appliances
    Kamoto, Kondwani M.
    Liu, Qi
    Liu, Xiaodong
    CLOUD COMPUTING AND SECURITY, PT I, 2017, 10602
  • [9] Technical and economic analysis of home energy management system incorporating small-scale wind turbine and battery energy storage system
    Hemmati, Reza
    JOURNAL OF CLEANER PRODUCTION, 2017, 159 : 106 - 118
  • [10] Heuristics for home appliances scheduling problems with energy consumption bounds
    Taboh, Sebastian
    Mendez-Diaz, Isabel
    Zabala, Paula
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2024, 39