• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. On grid-serving grid tariff design in Local Energy Markets
 
  • Details
  • Full
Options
2024
Journal Article
Title

On grid-serving grid tariff design in Local Energy Markets

Abstract
Local Energy Markets (LEMs) are virtual market places that allow for energy sharing of prosumers in proximity to each other. In LEMs, participants’ offers and bids are coordinated by a pricing mechanism, which sets price signals for generation and loads. This impacts distribution grid utilization. Dynamic grid fees could be used by the distribution system operator to add price signals for market participants that are beneficial to the distribution grid operation. To develop such a grid-serving LEM design, we propose a framework for the design of alternative grid tariffs as a trade-off between cost-reflective and cost-recovering grid tariffs. We analyse three alternative grid tariff components in the context of LEMs: time-varying energy fees, critical peak pricing (CPP) and capacity fees for power not traded on the LEM. A case study on a synthetically generated grid region shows that while the alternative tariff components can reduce the aggregated peak load of the region by up to 31% with the CPP, the fees can also lead to increased line utilization. Also, while total local added value can be increased with all alternative grid tariffs, especially capacity-based grid tariffs are connected to a strong redistribution of grid costs from flexible to inflexible prosumers.
Author(s)
Banovic, Oliver
Schumann, Klemens
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Zocher, Julius
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Ulbig, Andreas  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Journal
Electric power systems research  
Open Access
DOI
10.1016/j.epsr.2024.110655
Additional link
Full text
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • Dynamic grid tariff

  • Energy communities

  • Energy sharing

  • Grid tariff design

  • Local energy market

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024