A new real time home power management system

被引:36
|
作者
Ozkan, Hanife Apaydin [1 ]
机构
[1] Anadolu Univ, Dept Elect & Elect Engn, TR-26555 Eskisehir, Turkey
关键词
Home power management; Smart home; High peak demand; Energy saving; Power unit priority; Algorithm; ENERGY MANAGEMENT;
D O I
10.1016/j.enbuild.2015.03.038
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this work, a real time home power management (RTHPM) scheme and the corresponding rule based control algorithm (RTHPM algorithm) are presented. The proposed system produces a real time solution to reduce the electricity cost and to avoid the high peak demand problem simultaneously for a Smart Home (SH) which is equipped with smart electrical appliances, power units (photovoltaic system, grid, battery), communication network and a Main Controller (MC). In RTHPM system, power unit(s) are prioritized due to their current status and tariff rates. When the prioritized power units cannot provide the home power demand within the predefined grid limits and efficient battery usage rules, MC interferes with the status of appliances as much as it is permitted. The simulation test results show that the proposed RTHPM system significantly reduces the electricity cost and high peak demand. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:56 / 64
页数:9
相关论文
共 50 条
  • [41] Real-Time Scheduling of Operational Time for Smart Home Appliances Based on Reinforcement Learning
    Khan, Murad
    Seo, Junho
    Kim, Dongkyun
    IEEE ACCESS, 2020, 8 : 116520 - 116534
  • [42] 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
  • [43] A New Imaging System for Real-Time Process Control
    Saied, Imran
    Mahmoud, Meribout
    IEEE SENSORS JOURNAL, 2017, 17 (12) : 3844 - 3852
  • [44] Real-Time Energy Management for Smart Homes
    Paul, Subho
    Padhy, Narayana Prasad
    IEEE SYSTEMS JOURNAL, 2021, 15 (03): : 4177 - 4188
  • [45] Battery Life Estimation in a Real-Time Energy Management System
    Dvijotham, Krishnamurthy
    Sharma, Ratnesh
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [46] Design and Implementation of an On-Demand Home Power Management System based on a Hierarchical Protocol
    Maeda, Tomotaka
    Nakano, Hiroki
    Morimoto, Naoyuki
    Sakai, Kazumi
    Okabe, Yasuo
    IEEE 39TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC 2015), VOL 3, 2015, : 188 - 193
  • [47] Towards a Real Time Energy Management Strategy for Hybrid Wind-PV Power System based on Hierarchical Distribution of Loads
    Raihani, Abdelhadi
    Khalili, Tajeddine
    Rafik, Mohamed
    Zaggaf, Mohammed Hicham
    Bouattane, Omar
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (05) : 396 - 406
  • [48] A Real-Time Optimal Car-Following Power Management Strategy for Hybrid Electric Vehicles with ACC Systems
    Sun, Xiaobo
    Liu, Weirong
    Wen, Mengfei
    Wu, Yue
    Li, Heng
    Huang, Jiahao
    Hu, Chao
    Huang, Zhiwu
    ENERGIES, 2021, 14 (12)
  • [49] An intelligent real-time power management system with active learning prediction engine for PV grid-tied systems
    Kow, Ken Weng
    Wong, Yee Wan
    Rajkumar, Rajprasad
    Isa, Dino
    JOURNAL OF CLEANER PRODUCTION, 2018, 205 : 252 - 265
  • [50] AIoT-based Smart Home Energy Management System
    Salama, Ahmed K.
    Abdellatif, Mohammad M.
    2022 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2022, : 177 - 181