Three Control Approaches for Optimized Energy Flow With Home Energy Management System

被引:63
|
作者
Wu, Zhi [1 ]
Zhang, Xiao-Ping [1 ]
Brandt, Joachim [2 ]
Zhou, Su-Yang [1 ]
Li, Jia-Ning [1 ]
机构
[1] School of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham,B15 2TT, United Kingdom
[2] E.ON Technologies (Ratcliffe) Ltd., Technology Centre, Nottingham,NG11 0EE, United Kingdom
来源
关键词
Energy management - Computer circuits - Energy management systems - Fuzzy logic;
D O I
10.1109/JPETS.2015.2409202
中图分类号
学科分类号
摘要
This paper presents the results of three control strategies of managed energy services with home energy management system (HEMS)-integrated devices. The HEMS controls and monitors three types of managed devices: 1) heating; 2) task-specific; and 3) energy storage devices. Three approaches are proposed for the rolling optimization by the HEMS, namely, mixed integer linear programming (MILP), continuous relaxation (CR), and fuzzy logic controller (FLC). The CR approach is identified to reduce the computational complexity of the MILP by changing the MILP into an LP solution. Three types of FLC control approaches are proposed, namely, heat-related FLC, task-related FLC, and FLC for the battery. Each control strategy is evaluated against cost optimization, computational resource, and practical implementation. The findings in this paper show that all three algorithmic control strategies successfully perform cost optimization, even with inaccurate forecasting information. © 2015 IEEE.
引用
收藏
页码:21 / 31
相关论文
共 50 条
  • [31] Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability
    Mohammad, Arshad
    Zuhaib, Mohd
    Ashraf, Imtiaz
    Alsultan, Marwan
    Ahmad, Shafiq
    Sarwar, Adil
    Abdollahian, Mali
    ENERGIES, 2021, 14 (24)
  • [32] Home Energy Management System based on Photovoltaic System
    Yao, Leehter
    Lai, Chien-Chi
    Lim, Wei Hong
    2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND DATA INTENSIVE SYSTEMS, 2015, : 644 - 650
  • [33] An Intelligent Home Energy Management System with Classifier System
    Sekizaki, Shinya
    Hayashida, Tomohiro
    Nishizaki, Ichiro
    2015 IEEE 8TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (IWCIA) PROCEEDINGS, 2015, : 9 - 14
  • [34] Energy Management Strategy for Hybrid Energy Storage System using Optimized Velocity Predictor and Model Predictive Control
    Huang, Zhiwu
    Huang, Pei
    Wu, Yue
    Li, Heng
    Peng, Hui
    Peng, Jun
    2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2022, : 218 - 223
  • [35] Advancements in Home Energy Management Systems: A Review of Energy Optimization Strategies and Algorithmic Approaches
    Elargoubi, Fatima Zohra
    Chakir, Houssam Eddine
    El Khaili, Mohamed
    Choukri, Karim
    Et-Taoussi, Mehdi
    Mricha, Rabia
    IFAC PAPERSONLINE, 2024, 58 (13): : 545 - 551
  • [36] Network architecture for home energy management system
    Inoue, M
    Higuma, T
    Ito, Y
    Kushiro, N
    Kubota, H
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2003, 49 (03) : 606 - 613
  • [37] A Metaheuristic Scheduling of Home Energy Management System
    Yasmeen, Anila
    Javaid, Nadeem
    Fatima, Itrat
    Nadeem, Zunaira
    Khan, Asif
    Khan, Zahoor Ali
    ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES, 2018, 17 : 214 - 224
  • [38] Laboratory Smart Home Energy Management System
    Paunescu, Ciprian Ionut
    Toma, Lucian
    Eremia, Mircea
    2015 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2015,
  • [39] Optimal Models of Home Energy Management System
    Wan, Qingzhu
    Chen, Yalan
    Bian, Yuan
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 222 - 229
  • [40] PicoGrid Smart Home Energy Management System
    Daly, Collin J.
    Moore, David L.
    Haddad, Rami J.
    Specht, Aaron
    Neal, Shaina
    IEEE SOUTHEASTCON 2018, 2018,