An optimal market-oriented demand response model for price-responsive residential consumers

被引:0
|
作者
Reza Sharifi
Amjad Anvari-Moghaddam
S. Hamid Fathi
Josep M. Guerrero
Vahid Vahidinasab
机构
[1] Amirkabir University of Technology,Electrical Engineering Department
[2] Aalborg University,Department of Energy Technology
[3] Shahid Beheshti University,Department of Electrical Engineering
来源
Energy Efficiency | 2019年 / 12卷
关键词
Demand-side management; Economic demand response model; Consumer utility function; Electricity market restructuring;
D O I
暂无
中图分类号
学科分类号
摘要
For many years in the wholesale electricity market, the generation companies would only seek to compete with each other to sell electric energy to customers in a way to make more profit. Moreover, there was no mechanism in such an environment to enable demand-side participation especially for residential building units with relatively high power consumptions. This caused the increasing market power of generation companies and soon to realize that the demand side would yield to any price to purchase the required energy. Having gradually identified this issue, demand response (DR) programs were introduced as confronting tools to help consumers being away from such situations. This paper proposes an effective market-oriented DR model for residential consumers to change their consumption patterns over the time for getting maximum benefits based on their own utility functions. According to the results of simulated case studies, it is demonstrated that the proposed model is able to adapt to different consumers with different levels of flexibility against the price signals. Moreover, simulation results demonstrate that the residential consumption levels can be easily adjusted during the examined period in a way not only to meet the user’s objectives, but also to reshape and smooth the system’s aggregated load profile.
引用
收藏
页码:803 / 815
页数:12
相关论文
共 50 条
  • [41] How should price-responsive electricity tariffs evolve? An analysis of the German net demand case
    Pereira, Diogo Santos
    Marques, Antonio Cardoso
    UTILITIES POLICY, 2020, 66
  • [42] Optimal price-based and emergency demand response programs considering consumers preferences
    Dadkhah, Akbar
    Bayati, Navid
    Shafie-khah, Miadreza
    Vandevelde, Lieven
    Catalao, Joao P. S.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 138
  • [43] Efficient Coordination of Wind Power and Price-Responsive Demand-Part I: Theoretical Foundations
    Ilic, Marija D.
    Xie, Le
    Joo, Jhi-Young
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (04) : 1875 - 1884
  • [44] Efficient Coordination of Wind Power and Price-Responsive Demand-Part II: Case Studies
    Ilic, Marija D.
    Xie, Le
    Joo, Jhi-Young
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (04) : 1885 - 1893
  • [45] Deep Reinforcement Learning-Based Trading Strategy for Load Aggregators on Price-Responsive Demand
    Yang, Guang
    Du, Songhuai
    Duan, Qingling
    Su, Juan
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [46] Performance model for market-oriented design of software products
    Degen, H
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2000, 12 (3-4) : 285 - +
  • [47] Residential relocation under market-oriented redevelopment: the process and outcomes in urban China
    Wu, FL
    GEOFORUM, 2004, 35 (04) : 453 - 470
  • [48] Economic Analysis of Transmission Expansion Planning With Price-Responsive Demand and Quadratic Losses by Successive LP
    Ozdemir, Ozge
    Munoz, Francisco D.
    Ho, Jonathan L.
    Hobbs, Benjamin F.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (02) : 1096 - 1107
  • [49] The role of government in a market-oriented cereals sector: Price stabilization and income support
    Gordon, HF
    CEREALS SECTOR REFORM IN THE FORMER SOVIET UNION AND CENTRAL AND EASTERN EUROPE, 1997, : 51 - 66
  • [50] Implementation of Load Scheduling and Demand Response for Residential Consumers
    Priolkar, Jayesh
    Aaron Gracias, Pratik Phadate
    Sreeraj, E. S.
    2021 NATIONAL POWER ELECTRONICS CONFERENCE (NPEC), 2021,