On the Importance of Grid Tariff Designs in Local Energy Markets
Sebastian Schreck (),
Robin Sudhoff,
Sebastian Thiem and
Stefan Niessen
Additional contact information
Sebastian Schreck: Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
Robin Sudhoff: Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
Sebastian Thiem: Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
Stefan Niessen: Siemens AG, Technology, Günther-Scharowsky-Str. 1, 91058 Erlangen, Germany
Energies, 2022, vol. 15, issue 17, 1-25
Abstract:
Local Energy Markets (LEMs) were recently proposed as a measure to coordinate an increasing amount of distributed energy resources on a distribution grid level. A variety of market models for LEMs are currently being discussed; however, a consistent analysis of various proposed grid tariff designs is missing. We address this gap by formulating a linear optimization-based market matching algorithm capable of modeling a variation of grid tariff designs. A comprehensive simulative study is performed for yearly simulations of a rural, semiurban, and urban grids in Germany, focusing on electric vehicles, heat pumps, battery storage, and photovoltaics in residential and commercial buildings. We compare energy-based grid tariffs with constant, topology-dependent and time-variable cost components and power-based tariffs to a benchmark case. The results show that grid tariffs with power fees show a significantly higher potential for the reduction of peak demand and feed-in (30–64%) than energy fee-based tariffs (8–49%). Additionally, we show that energy-based grid tariffs do not value the flexibility of assets such as electric vehicles compared to inflexible loads. A postprocessing of market results valuing the reduction of power peaks is proposed, enabling a compensation for the usage of asset flexibility.
Keywords: local energy market; distribution grid; flexibility; electric vehicles; market design; linear optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/17/6209/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/17/6209/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:17:p:6209-:d:898223
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().