An Appliance Scheduling System for Residential Energy Management

被引:7
|
作者
Apaydin-Ozkan, Hanife [1 ]
机构
[1] Eskisehir Tech Univ, Dept Elect & Elect Engn, TR-26555 Eskisehir, Turkey
关键词
residential energy management; appliance scheduling; peak demand; user comfort; brute-force closest pair; DEMAND RESPONSE; HOME APPLIANCES; SMART HOME; OPTIMIZATION; USERS; MODEL;
D O I
10.3390/s21093287
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this work, an Appliance Scheduling-based Residential Energy Management System (AS-REMS) for reducing electricity cost and avoiding peak demand while keeping user comfort is presented. In AS-REMS, based on the effects of starting times of appliances on user comfort and the user attendance during their operations, appliances are divided into two classes in terms of controllability: MC-controllable (allowed to be scheduled by the Main Controller) and user-controllable (allowed to be scheduled only by a user). Use of all appliances are monitored in the considered home for a while for recording users' appliance usage preferences and habits on each day of the week. Then, for each MC-controllable appliance, preferred starting times are determined and prioritized according to the recorded user preferences on similar days. When scheduling, assigned priorities of starting times of these appliances are considered for maintaining user comfort, while the tariff rate is considered for reducing electricity cost. Moreover, expected power consumptions of user-controllable appliances corresponding to the recorded user habits and power consumptions of MC-controllable appliances corresponding to the assigned starting times are considered for avoiding peak demand. The corresponding scheduling problem is solved by Brute-Force Closest Pair method. AS-REMS reduces the peak demand levels by 45% and the electricity costs by 39.6%, while provides the highest level of user comfort by 88%. Thus, users' appliance usage preferences are sustained at a lower cost while their comfort is kept impressively.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] MPC-Based Appliance Scheduling for Residential Building Energy Management Controller
    Chen, Chen
    Wang, Jianhui
    Heo, Yeonsook
    Kishore, Shalinee
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (03) : 1401 - 1410
  • [2] A Distributed Algorithm of Appliance Scheduling for Home Energy Management System
    Chavali, Phani
    Yang, Peng
    Nehorai, Arye
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (01) : 282 - 290
  • [3] An Embedded Prototype of a Residential Smart Appliance Scheduling System
    Ogwumike, Chris
    Short, Michael
    Abugchem, Fathi
    [J]. 2016 IEEE 21ST INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2016,
  • [4] Impact of User Convenience on Appliance Scheduling of a Home Energy Management System
    Shin, Je-Seok
    Bae, In-Su
    Kim, Jin-O
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2018, 13 (01) : 68 - 77
  • [5] Atomic Scheduling of Appliance Energy Consumption in Residential Smart Grids
    Kim, Kyeong Soo
    Lee, Sanghyuk
    Ting, Tiew On
    Yang, Xin-She
    [J]. ENERGIES, 2019, 12 (19)
  • [6] Differential Evolution Algorithm Based Energy Management of Residential Microgrid Under Appliance Scheduling DSM
    Chandra, Pritam
    Das, Aditya
    Das, Chitresh
    Naskar, Aritra
    Ganguly, Biswarup
    Paul, Subho
    [J]. PROCEEDINGS OF 2ND INTERNATIONAL CONFERENCE ON VLSI DEVICE, CIRCUIT AND SYSTEM (IEEE VLSI DCS 2020), 2020, : 50 - 55
  • [7] Autonomous Appliance Scheduling for Household Energy Management
    Adika, Christopher O.
    Wang, Lingfeng
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (02) : 673 - 682
  • [8] Appliance Scheduling for Energy Management with User Preferences
    Shaheen, Nusrat
    Javaid, Nadeem
    Nisa, Najmun
    Zeb, Amber Madeeha
    Khan, Zahoor Ali
    Qasim, Umar
    [J]. 2016 10TH INTERNATIONAL CONFERENCE ON INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING (IMIS), 2016, : 328 - 334
  • [9] SHE: Smart Home Energy Management System for Appliance Identification and Personalized Scheduling
    Liu, Ting
    Liu, Yuqi
    Che, Yulin
    Chen, Siyun
    Xu, Zhanbo
    Duan, Yufei
    [J]. PROCEEDINGS OF THE 2014 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING (UBICOMP'14 ADJUNCT), 2014, : 247 - 250
  • [10] Optimization Scheduling in Intelligent Energy Management System for the DC Residential Distribution System
    Yue, Jingpeng
    Hu, Zhijian
    Li, Chendan
    Vasquez, J. C.
    Guerrero, Josep M.
    [J]. 2017 IEEE SECOND INTERNATIONAL CONFERENCE ON DC MICROGRIDS (ICDCM), 2017, : 558 - 563