Net Energy Stored Control for Residential Demand-Side Management

被引:0
|
作者
Croft, Aaron [1 ]
Boys, John [1 ]
Covic, Grant [1 ]
机构
[1] Univ Auckland, Dept Elect & Comp Engn, Auckland 1, New Zealand
关键词
Home automation; Smart homes; Automatic control; Decentralized control; Distributed algorithms; Energy management; Load management; Energy storage; Distributed power generation; Smart grids; Power demand; IMPACT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel control methodology for automated residential demand-side management (RDSM) is proposed. The methodology utilises the time dimension of consumer power demand to generate a meaningful energy characteristic for each controllable household load. It is supposed that consumer preferences can be reflected entirely within the energy characteristic and hence controlling loads based on energy will result in better outcomes for the consumer. Hence guarantees can be placed on consumer satisfaction, while still near-optimally scheduling the resultant power flows. Simulation results for each second in a day are provided in MATLAB/ Simulink for 7 typical New Zealand houses, and show that consumers with electric vehicles can save approximately 17% of their power bill without sacrificing comfort using practical time-of-use pricing rates.
引用
收藏
页码:8033 / 8038
页数:6
相关论文
共 50 条
  • [31] Game Theoretic Model Predictive Control for Distributed Energy Demand-Side Management
    Stephens, Edward R.
    Smith, David B.
    Mahanti, Anirban
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (03) : 1394 - 1402
  • [32] Integrated supply-and demand-side energy management for expeditionary environmental control
    Craparo, E. M.
    Sprague, J. G.
    APPLIED ENERGY, 2019, 233 : 352 - 366
  • [33] Modeling and implementation of demand-side energy management system
    Gozuoglu, Abdulkadir
    Ozgonenel, Okan
    Gezegin, Cenk
    SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, 2024, 42 (05): : 1628 - 1645
  • [34] Optimal energy flow control strategy for a residential energy local network combined with demand-side management and real-time pricing
    Yang, Xiaodong
    Zhang, Youbing
    Zhao, Bo
    Huang, Feiteng
    Chen, Yu
    Ren, Shuaijie
    ENERGY AND BUILDINGS, 2017, 150 : 177 - 188
  • [35] Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey
    Barbato, Antimo
    Capone, Antonio
    ENERGIES, 2014, 7 (09) : 5787 - 5824
  • [36] Design and validation of a power modulation system for residential demand-side management
    Goldin, Aaron
    Buechler, Elizabeth
    Rajagopal, Ram
    Rivas-Davila, Juan M.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2025, 164
  • [37] Examining the effectiveness of residential water demand-side management policies in Israel
    Lavee, D.
    Danieli, Y.
    Beniad, G.
    Shvartzman, T.
    Ash, T.
    WATER POLICY, 2013, 15 (04) : 585 - 597
  • [38] A Fuzzy Logic System for Demand-Side Load Management in Residential Buildings
    Keshtkar, Azim
    Arzanpour, Siamak
    2014 IEEE 27TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2014,
  • [39] A Unified Management and Control Model of Demand-Side Resources
    Wang, Mingshen
    Ting, Yu
    Mu, Yunfei
    Jia, Hongjie
    Li Shiguang
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 2935 - 2940
  • [40] DEMAND-SIDE LOAD MANAGEMENT
    GELLINGS, CW
    IEEE SPECTRUM, 1981, 18 (12) : 49 - 52