A study on load control method for home energy management system (H-EMS) considering the human comfort

被引:1
|
作者
机构
[1] Jeon, Jeong-Pyo
[2] Kim, Kwang-Ho
来源
Kim, K.-H. (khokim@kangwon.ac.kr) | 1600年 / Korean Institute of Electrical Engineers卷 / 63期
关键词
Costs - Housing - Power markets - Electric load management - Energy utilization - Energy management;
D O I
10.5370/KIEE.2014.63.8.1025
中图分类号
学科分类号
摘要
The effective energy management method will provide the significant advantage to the residential customers under real time pricing plan since it can reduce the electricity charge by controlling the energy consumption according to electricity rate. The earlier studies for load management mainly aim to minimize the electricity charges and peak power but put a less emphasis on the human comfort dwelling in the residence. The discomfort and displeasure from the energy management only focusing on reduction of electricity charge will make the residential customer reluctant to enroll the real time pricing plan. In this paper, therefore, we propose optimal load control strategy which aim to achieve not only minimizing the electricity charges but also maintaining human comfort by introducing the human comfort coefficient. Using the human comfort coefficient, the energy management system can reflect the various human personality and control the loads within the range that the human comfort is maintained. Simulation results show that proposed load control strategy leads to significant reduction in the electricity charges and peak power in comparison with the conventional load management method.
引用
收藏
相关论文
共 50 条
  • [31] Energy Saving Control Method of HVAC in Colleges and Universities Considering Thermal Comfort Satisfaction
    Li, Yang
    Zhang, Xuezhi
    Wei, Zhigang
    PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON NEW ENERGY AND ELECTRICAL TECHNOLOGY, 2023, 1017 : 599 - 606
  • [32] Load Shifting Control and Management of Domestic Microgeneration Systems for Improved Energy Efficiency and Comfort
    Anvari-Moghaddam, Amjad
    Vasquez, Juan C.
    Guerrero, Josep M.
    IECON 2015 - 41ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2015, : 96 - 101
  • [33] Calculation Method of System Adjustable Load Considering Renewable Energy Consumption
    Jiang, Shiyao
    Zhou, Yuhua
    Xie, Yuzheng
    Li, Mengjiao
    He, Sijing
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 361 - 366
  • [34] Load Scheduling Algorithm Design for Smart Home Energy Management System
    Pawar, Prakash
    Sampath, Shantanu
    Ghosh, Trisha
    Vittal, K. P.
    2018 IEEE 7TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), 2018, : 304 - 309
  • [35] Load shifting with the use of home energy management system implemented in FPGA
    Bazydlo, Grzegorz
    Werminski, Szymon
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2017, 2017, 10445
  • [36] Thermal, Lighting and IAQ Control System for Energy Saving and Comfort Management
    Zanoli, Silvia Maria
    Pepe, Crescenzo
    PROCESSES, 2023, 11 (01)
  • [37] Multi-zone Building Control System for Energy and Comfort Management
    Kan, Ee May
    Kan, Siew Leong
    Ling, Ngee Hoo
    Soh, Yvonne
    Lai, Matthew
    HYBRID INTELLIGENT SYSTEMS, HIS 2015, 2016, 420 : 41 - 51
  • [38] Energy Efficient Thermal Comfort Control via Human In The Loop RL in Smart Home
    Wei, Chuanfeng
    Zhou, Shengbo
    He, Peng
    Cui, Yaping
    Wang, Ruyan
    Wu, Dapeng
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 6243 - 6248
  • [39] Energy on Demand Efficient and Versatile Energy Control System for Home Energy Management
    Kato, Takekazu
    Yuasa, Kenji
    Matsuyama, Takashi
    2011 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2011,
  • [40] Multi-stakeholders energy management and control method of integrated energy system considering carbon trading mechanism
    Yan, Ning
    Ma, Guangchao
    Li, Xiangjun
    Qu, Chunhui
    Zhong, Yao
    ENERGY REPORTS, 2022, 8 : 1090 - 1098