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On the Importance of Grid Tariff Designs in Local Energy Markets

Schreck, Sebastian ; Sudhoff, Robin ; Thiem, Sebastian ; Niessen, Stefan (2022)
On the Importance of Grid Tariff Designs in Local Energy Markets.
In: Energies, 15 (17)
doi: 10.3390/en15176209
Artikel, Bibliographie

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Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Schreck, Sebastian ; Sudhoff, Robin ; Thiem, Sebastian ; Niessen, Stefan
Art des Eintrags: Bibliographie
Titel: On the Importance of Grid Tariff Designs in Local Energy Markets
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Energies
Jahrgang/Volume einer Zeitschrift: 15
(Heft-)Nummer: 17
Kollation: 25 Seiten
DOI: 10.3390/en15176209
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Kurzbeschreibung (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.

Freie Schlagworte: local energy market, distribution grid, flexibility, electric vehicles, market design, linear optimization
Zusätzliche Informationen:

This article belongs to the Special Issue Energy Transition: Decentralization, Electric Vehicles, and Local Energy Markets

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Technik und Ökonomie Multimodaler Energiesysteme (MMES)
Hinterlegungsdatum: 02 Aug 2024 12:43
Letzte Änderung: 02 Aug 2024 12:43
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