TIME-OF-USE PRICING IN THE ELECTRICITY MARKET: AN APPLICATION OF STACKELBERG GAME

被引:0
作者
Ketkar, Atharva [1 ]
Koonamparampath, Joselyn [1 ]
Sawant, Mayur [1 ]
机构
[1] Veermata Jijabai Technol Inst, Dept Elect Engn, Mumbai, Maharashtra, India
来源
PROCEEDINGS OF THE ASME POWER CONFERENCE, 2019 | 2019年
关键词
Demand Response; Game theory; Stackelberg game; Time-of-Use pricing;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Electrical power, generated and consumed, is perhaps, one of today's most important construct in determining the progress of a people. The power mismatch between the generated and consumed power is one of the major issues faced in the electricity industry. This can be addressed by analysing user behaviour and manipulating it. This paper attempts to put forth a demand response (DR) technique using the concept of Time-of-Use (ToU) electricity pricing. The utilities have an upper hand of quoting the electricity price whereas the users must follow this price and give their best response of power consumption. This process is similar to a leader-follower setting as in a Stackelberg game where the follower acts according to the leader's strategy and gives its best response in every situation. This paper proposes a pricing technique where the users are charged according to the amount of power consumed in the specific period of time.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Effects of Voluntary Time-of-Use Pricing on Summer Electricity Usage of Business Customers
    Qiu, Yueming
    Kirkeide, Loren
    Wang, Yi David
    ENVIRONMENTAL & RESOURCE ECONOMICS, 2018, 69 (02) : 417 - 440
  • [22] Effects of Voluntary Time-of-Use Pricing on Summer Electricity Usage of Business Customers
    Yueming Qiu
    Loren Kirkeide
    Yi David Wang
    Environmental and Resource Economics, 2018, 69 : 417 - 440
  • [23] Time-of-Use Electricity Pricing Optimization Considering Investment Savings of Power System
    Zhu, Qianwen
    Tang, Wenzuo
    Wang, Lanxin
    Xie, Duyang
    Pan, Di
    Li, Zhonghao
    Fang, Xinxin
    2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 2154 - 2158
  • [24] Modelling weather effects for impact analysis of residential time-of-use electricity pricing
    Miller, Reid
    Golab, Lukasz
    Rosenberg, Catherine
    ENERGY POLICY, 2017, 105 : 534 - 546
  • [25] Autonomous Electricity Trading Using Time-of-Use Tariffs in a Competitive Market
    Urieli, Daniel
    Stone, Peter
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 345 - 351
  • [26] An optimal time-of-use pricing for urban gas: A study with a multi-agent evolutionary game-theoretic perspective
    Gong, Chengzhu
    Tang, Kai
    Zhu, Kejun
    Hailu, Atakelty
    APPLIED ENERGY, 2016, 163 : 283 - 294
  • [27] Modeling Demand Response under Time-of-Use Pricing
    Zhao, Shen
    Ming, Zhou
    2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014,
  • [28] Electricity market clearing for multiple stakeholders based on the Stackelberg game
    Wu, Xuguang
    Ye, Qingquan
    Chen, Liyuan
    Liao, Hongtu
    Wang, Wanhuan
    FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [29] Optimal electricity storage sharing mechanism for single peaked time-of-use pricing scheme
    Wang, Kui
    Yu, Yang
    Wu, Chenye
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 195
  • [30] A semivectorial bilevel programming approach to optimize electricity dynamic time-of-use retail pricing
    Alves, Maria Joao
    Antunes, Carlos Henggeler
    COMPUTERS & OPERATIONS RESEARCH, 2018, 92 : 130 - 144