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Modelling Electricity and Heat Supply with Renewable Infeed and Seasonal Storages on a Local Level using Multi-Period Optimal Power Flow

Böhringer, Marcel ; Schwenke, Manuel ; Hanson, Jutta (2022)
Modelling Electricity and Heat Supply with Renewable Infeed and Seasonal Storages on a Local Level using Multi-Period Optimal Power Flow.
57th International Universities Power Engineering Conference. Istanbul, Turkey (30.08.-02.09.2022)
doi: 10.1109/UPEC55022.2022.9917866
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, an optimal power flow model for electricity and heat distribution in district networks is demonstrated. The algorithm is based on the AC power-flow equations and solves problems with a time horizon of up to an entire year with the intention to size and operate generation and storage equipment. The interior-point solver PIPS, that allows to include non-linear and linear constraints and variable bounds is used to solve the problem. To decrease computational effort, an algorithm for time series aggregation is introduced, that allows to maintain the seasonal, as well as the hourly characteristics of the time series while significantly reducing the computation time. Besides the electrical network, a district heating network is modelled. This allows various couplings through generation or storage equipment to be integrated into the model. It could be shown, that, with a joint consideration of electricity and heat in the model, a high self-sufficiency of a district energy system can be achieved while at the same time the costs can be lowered. As a side effect, other operating parameters, such as voltage stability, are significantly improved.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Böhringer, Marcel ; Schwenke, Manuel ; Hanson, Jutta
Art des Eintrags: Bibliographie
Titel: Modelling Electricity and Heat Supply with Renewable Infeed and Seasonal Storages on a Local Level using Multi-Period Optimal Power Flow
Sprache: Englisch
Publikationsjahr: 18 Oktober 2022
Verlag: IEEE
Buchtitel: 2022 57th International Universities Power Engineering Conference (UPEC)
Veranstaltungstitel: 57th International Universities Power Engineering Conference
Veranstaltungsort: Istanbul, Turkey
Veranstaltungsdatum: 30.08.-02.09.2022
DOI: 10.1109/UPEC55022.2022.9917866
Kurzbeschreibung (Abstract):

In this paper, an optimal power flow model for electricity and heat distribution in district networks is demonstrated. The algorithm is based on the AC power-flow equations and solves problems with a time horizon of up to an entire year with the intention to size and operate generation and storage equipment. The interior-point solver PIPS, that allows to include non-linear and linear constraints and variable bounds is used to solve the problem. To decrease computational effort, an algorithm for time series aggregation is introduced, that allows to maintain the seasonal, as well as the hourly characteristics of the time series while significantly reducing the computation time. Besides the electrical network, a district heating network is modelled. This allows various couplings through generation or storage equipment to be integrated into the model. It could be shown, that, with a joint consideration of electricity and heat in the model, a high self-sufficiency of a district energy system can be achieved while at the same time the costs can be lowered. As a side effect, other operating parameters, such as voltage stability, are significantly improved.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiesysteme > Elektrische Energieversorgung unter Einsatz Erneuerbarer Energien
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiesysteme
Hinterlegungsdatum: 29 Mär 2023 07:36
Letzte Änderung: 24 Jul 2023 07:45
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