Exogenous Cost Allocation in Peer-to-Peer Electricity Markets

被引:223
|
作者
Baroche, Thomas [1 ]
Pinson, Pierre [2 ]
Latimier, Roman Le Goff [1 ]
Ben Ahmed, Hamid [1 ]
机构
[1] Ecole Normale Super Rennes, SATIE Lab, F-35170 Bruz, France
[2] Danmarks Tekn Univ, Ctr Elect Power & Energy, DK-2800 Lyngby, Denmark
关键词
Economic dispatch; distributed optimization; optimal power flow (OPF); cost allocation; MANAGEMENT;
D O I
10.1109/TPWRS.2019.2896654
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The deployment of distributed energy resources, combined with a more proactive demand side management, is inducing a new paradigm in power system operation and electricity markets. Within a consumer-centric market framework, peer-to-peer (P2P) approaches have gained substantial interest. P2P markets rely on multibilateral negotiation among all agents to match supply and demand. These markets can yield a complete mapping of exchanges onto the grid; hence, allowing to rethink the sharing of costs related to the use of common infrastructure and services. We propose here to attribute such costs through exogenous network charges in several alternative ways, i.e., uniformly, based on the electrical distance between agents and by zones. This variety covers the main grid physical and regulatory configurations. Since attribution mechanisms are defined in an exogenous manner to affect each P2P trade, they eventually shift the market issue to cover the grid exploitation costs. It can even be used to release the stress on the grid when necessary. The interest of our approach is illustrated on a test case using the IEEE 39 bus test system, underlying the impact of attribution mechanisms on trades and grid usage.
引用
收藏
页码:2553 / 2564
页数:12
相关论文
共 50 条
  • [1] Prosumers' cost recovery in peer-to-peer electricity markets
    Hoseinpour, Milad
    Haghifam, Mahmoud-Reza
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 226
  • [2] Mitigation of Communication Costs in Peer-to-peer Electricity Markets
    Latimier, R. Le Goff
    Baroche, T.
    Ben Ahmed, H.
    2019 IEEE MILAN POWERTECH, 2019,
  • [3] Risk management framework of peer-to-peer electricity markets
    Seyedhossein, Seyed Saeed
    Moeini-Aghtaie, Moein
    ENERGY, 2022, 261
  • [4] Cost allocation mechanisms in a peer-to-peer network
    Altan, Basak
    Ozener, Okan Orsan
    NETWORKS, 2019, 73 (01) : 104 - 118
  • [5] Dynamic allocation of peer-to-peer clusters in virtual local electricity markets: A marketplace for EV flexibility
    Hashemipour, Naser
    del Granado, Pedro Crespo
    Aghaei, Jamshid
    ENERGY, 2021, 236
  • [6] Negotiation Algorithms for Peer-to-Peer Electricity Markets: Computational Properties
    Moret, F.
    Baroche, T.
    Sorin, E.
    Pinson, P.
    2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2018,
  • [7] Peer-to-Peer Markets
    Einav, Liran
    Farronato, Chiara
    Levin, Jonathan
    ANNUAL REVIEW OF ECONOMICS, VOL 8, 2016, 8 : 615 - 635
  • [8] Loss Allocation in Joint Transmission and Distribution Peer-to-Peer Markets
    Moret, Fabio
    Tosatto, Andrea
    Baroche, Thomas
    Pinson, Pierre
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (03) : 1833 - 1842
  • [9] New Roles in Peer-to-Peer Electricity Markets: Value Network Analysis
    Montakhabi, Mehdi
    Zobiri, Fairouz
    van der Graaf, Shenja
    Deconinck, Geert
    Orlando, Domenico
    Vanhove, Simon
    Callaerts, Raf
    Ballon, Pieter
    Mustafa, Mustafa A.
    2020 6TH IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2020, : 389 - 394
  • [10] A Review of Network Modeling and Services Integration in Peer-to-Peer Electricity Markets
    Dukovska, Irena
    Slootweg, Han
    Paterakis, Nikolaos G.
    2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2021,