4.7 Article

Exogenous Cost Allocation in Peer-to-Peer Electricity Markets

Journal

IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 34, Issue 4, Pages 2553-2564

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2019.2896654

Keywords

Economic dispatch; distributed optimization; optimal power flow (OPF); cost allocation

Funding

  1. Danish Innovation Fund through the project 5s-Future Electricity Markets [12-132636/DSF]
  2. ForskEL programme through the project 5s-Future Electricity Markets [12-132636/DSF]
  3. CITIES [DSF-1305-00027B]
  4. The Energy Collective [2016-1-12530]

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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.

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