Cost-reflective dynamic electricity pricing for prosumers

被引:2
|
作者
Fikru M.G. [1 ]
Atherton J. [1 ]
Canfield C.I. [2 ]
机构
[1] Department of Economics, Missouri University of Science and Technology, 500 West 13th Street, Rolla, 65409 USA, MO
[2] Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, 600 West 14th Street, Rolla, 65409, MO
来源
Electricity Journal | 2022年 / 35卷 / 01期
关键词
Average cost; Electric rate design; Electricity bill savings; Marginal cost; Photovoltaic;
D O I
10.1016/j.tej.2022.107075
中图分类号
学科分类号
摘要
Despite broad interest in dynamic electricity prices, few studies examine their effect on electricity bills and potential price signals for solar adoption. We develop a framework for dynamic prices based on marginal and average cost principles and examine their impact on prosumers’ electricity bills. Results reveal that for prosumers the percent of onsite solar consumption determines the relationship between average and marginal costs. Applying the model on a sample of 18 solar houses shows that prosumer monthly bill savings are higher (1) during months of higher onsite solar consumption and (2) when dynamic prices are based on the marginal cost principle. © 2022 Elsevier Inc.
引用
收藏
相关论文
共 50 条
  • [31] Effects of dynamic pricing on residential electricity bill
    Moholkar, A
    Klinkhachorn, P
    Feliachi, A
    2004 IEEE PES POWER SYSTEMS CONFERENCE & EXPOSITION, VOLS 1 - 3, 2004, : 1030 - 1035
  • [32] MOVE TOWARDS MARGINAL COST PRICING IN ELECTRICITY.
    Acton, Jan Paul
    1600,
  • [33] Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment
    Jiang, Yanni
    Zhou, Kaile
    Lu, Xinhui
    Yang, Shanlin
    APPLIED ENERGY, 2020, 271
  • [34] Methodology for cost reflective pricing of distribution networks with distributed generation
    Mutale, J.
    Strbac, G.
    Pudjianto, D.
    2007 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-10, 2007, : 3707 - 3711
  • [35] Towards optimal customized electricity pricing via iterative two-layer optimization for consumers and prosumers
    Pan, L. W.
    Chen, J. J.
    Zhao, Y. L.
    Xu, B. Y.
    Jiao, T. C.
    JOURNAL OF CLEANER PRODUCTION, 2024, 469
  • [36] Electricity cost comparison of dynamic pricing model based on load forecasting in home energy management system
    Zhao, Xueyuan
    Gao, Weijun
    Qian, Fanyue
    Ge, Jian
    ENERGY, 2021, 229
  • [38] Economic and operational benefits of energy storage sharing for a neighborhood of prosumers in a dynamic pricing environment
    Tascikaraoglu, Akin
    SUSTAINABLE CITIES AND SOCIETY, 2018, 38 : 219 - 229
  • [39] Dynamic Pricing and Balancing Mechanism for a Microgrid Electricity Market
    Stanczak, Jaroslaw
    Radziszewska, Weronika
    Nahorski, Zbigniew
    INTELLIGENT SYSTEMS'2014, VOL 2: TOOLS, ARCHITECTURES, SYSTEMS, APPLICATIONS, 2015, 323 : 793 - 806
  • [40] Modeling for Residential Electricity Optimization in Dynamic Pricing Environments
    Hubert, Tanguy
    Grijalva, Santiago
    IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (04) : 2224 - 2231