Schreck, Sebastian ; Sudhoff, Robin ; Thiem, Sebastian ; Niessen, Stefan (2022)
On the Importance of Grid Tariff Designs in Local Energy Markets.
In: Energies, 2022, 15 (17)
doi: 10.26083/tuprints-00022317
Artikel, Zweitveröffentlichung, Verlagsversion
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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: | Zweitveröffentlichung |
| Titel: | On the Importance of Grid Tariff Designs in Local Energy Markets |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Energies |
| Jahrgang/Volume einer Zeitschrift: | 15 |
| (Heft-)Nummer: | 17 |
| Kollation: | 25 Seiten |
| DOI: | 10.26083/tuprints-00022317 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/22317 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| 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 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-223172 |
| 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: | 14 Sep 2022 12:12 |
| Letzte Änderung: | 15 Sep 2022 08:02 |
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| Suche nach Titel in: | TUfind oder in Google |
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