Kohne, Thomas ; Hauck, Steffen ; Roloff, Nils ; Weigold, Matthias (2020)
Flexibilization of Industrial Customers through Real Time Pricing Based on Multi-Agent Modeling.
2020 IEEE Power and Energy Student Summit (PESS). virtual Conference (05.-07-10.2020)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In 2019, 42 % of the gross electricity consumption in Germany was provided by renewable energies, with the aim of increasing this share to over 80 % till 2050. For the efficient integration of fluctuating feed-in (e. g. wind or solar energy), transmission and distribution network infrastructure must be expanded, but also additional flexibility in supply and consumption is needed. Dynamic electricity prices can create incentives for final consumers to adjust their consumption. In the presented paper, a real time pricing model for the German electricity market is developed based on a multi agent approach. In order to limit the price risk, the supplier calculates a specific surcharge added to the customer prices. The customers then calculate their order quantities in an internal optimization problem based on the prices. The bundled customers' quantities are traded on the energy markets. An analysis of market data of 2019 was conducted. Compared to a standard tariff the industrial customers reduce their energy costs by around 6 % to 8 % while the supplier achieves a revenue of 9 %.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Kohne, Thomas ; Hauck, Steffen ; Roloff, Nils ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | Flexibilization of Industrial Customers through Real Time Pricing Based on Multi-Agent Modeling |
| Sprache: | Englisch |
| Publikationsjahr: | 1 Dezember 2020 |
| Verlag: | VDE-Verlag |
| Buchtitel: | PESS 2020 : IEEE Power and Energy Student Summit : conference proceedings |
| Veranstaltungstitel: | 2020 IEEE Power and Energy Student Summit (PESS) |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 05.-07-10.2020 |
| URL / URN: | https://ieeexplore.ieee.org/document/9273776 |
| Kurzbeschreibung (Abstract): | In 2019, 42 % of the gross electricity consumption in Germany was provided by renewable energies, with the aim of increasing this share to over 80 % till 2050. For the efficient integration of fluctuating feed-in (e. g. wind or solar energy), transmission and distribution network infrastructure must be expanded, but also additional flexibility in supply and consumption is needed. Dynamic electricity prices can create incentives for final consumers to adjust their consumption. In the presented paper, a real time pricing model for the German electricity market is developed based on a multi agent approach. In order to limit the price risk, the supplier calculates a specific surcharge added to the customer prices. The customers then calculate their order quantities in an internal optimization problem based on the prices. The bundled customers' quantities are traded on the energy markets. An analysis of market data of 2019 was conducted. Compared to a standard tariff the industrial customers reduce their energy costs by around 6 % to 8 % while the supplier achieves a revenue of 9 %. |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion |
| Hinterlegungsdatum: | 16 Dez 2020 06:32 |
| Letzte Änderung: | 20 Apr 2021 07:29 |
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