Demand flexibility modelling for long term optimal distribution grid planning
Abstract Optimisation tools for long‐term grid planning considering flexibility resources require aggregated flexibility models that are not too computationally demanding or complex. Still, they should capture the operational benefits of flexibility sufficiently accurately for planning purposes. Thi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Online Access: | https://doi.org/10.1049/gtd2.12651 |
| _version_ | 1797953961745973248 |
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| author | Espen Flo Bødal Venkatachalam Lakshmanan Iver Bakken Sperstad Merkebu Z. Degefa Maxime Hanot Hakan Ergun Marco Rossi |
| author_facet | Espen Flo Bødal Venkatachalam Lakshmanan Iver Bakken Sperstad Merkebu Z. Degefa Maxime Hanot Hakan Ergun Marco Rossi |
| author_sort | Espen Flo Bødal |
| collection | DOAJ |
| description | Abstract Optimisation tools for long‐term grid planning considering flexibility resources require aggregated flexibility models that are not too computationally demanding or complex. Still, they should capture the operational benefits of flexibility sufficiently accurately for planning purposes. This article investigates the sufficiency of an aggregated flexibility model for planning tools by comparing it against a detailed flexibility model. Two different constraint formulations, namely based on recovery period and temporal proximity, were tested to account for post activation dynamics of flexibility resources. The results show that the recovery period based formulation results in excessive demand reduction. The proximity constraint formulation on the other hand results in realistic activation of flexibility resources, which represents an improvement over the base formulation without constraints for post activation dynamics. The results show how a too simple model of the operational behaviour of demand flexibility may overestimate its benefits as an alternative or supplement to grid investments. |
| first_indexed | 2024-04-10T23:11:17Z |
| format | Article |
| id | doaj.art-8bf464365f0f429188c9fe9d0c3f0652 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-10T23:11:17Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-8bf464365f0f429188c9fe9d0c3f06522023-01-13T05:50:39ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952022-12-0116245002501410.1049/gtd2.12651Demand flexibility modelling for long term optimal distribution grid planningEspen Flo Bødal0Venkatachalam Lakshmanan1Iver Bakken Sperstad2Merkebu Z. Degefa3Maxime Hanot4Hakan Ergun5Marco Rossi6SINTEF Energy Research Trondheim NorwaySINTEF Energy Research Trondheim NorwaySINTEF Energy Research Trondheim NorwaySINTEF Energy Research Trondheim NorwayN‐SIDE BelgiumKU Leuven / EnergyVille BelgiumRicerca sul Sistema Energetico (RSE) ItalyAbstract Optimisation tools for long‐term grid planning considering flexibility resources require aggregated flexibility models that are not too computationally demanding or complex. Still, they should capture the operational benefits of flexibility sufficiently accurately for planning purposes. This article investigates the sufficiency of an aggregated flexibility model for planning tools by comparing it against a detailed flexibility model. Two different constraint formulations, namely based on recovery period and temporal proximity, were tested to account for post activation dynamics of flexibility resources. The results show that the recovery period based formulation results in excessive demand reduction. The proximity constraint formulation on the other hand results in realistic activation of flexibility resources, which represents an improvement over the base formulation without constraints for post activation dynamics. The results show how a too simple model of the operational behaviour of demand flexibility may overestimate its benefits as an alternative or supplement to grid investments.https://doi.org/10.1049/gtd2.12651 |
| spellingShingle | Espen Flo Bødal Venkatachalam Lakshmanan Iver Bakken Sperstad Merkebu Z. Degefa Maxime Hanot Hakan Ergun Marco Rossi Demand flexibility modelling for long term optimal distribution grid planning IET Generation, Transmission & Distribution |
| title | Demand flexibility modelling for long term optimal distribution grid planning |
| title_full | Demand flexibility modelling for long term optimal distribution grid planning |
| title_fullStr | Demand flexibility modelling for long term optimal distribution grid planning |
| title_full_unstemmed | Demand flexibility modelling for long term optimal distribution grid planning |
| title_short | Demand flexibility modelling for long term optimal distribution grid planning |
| title_sort | demand flexibility modelling for long term optimal distribution grid planning |
| url | https://doi.org/10.1049/gtd2.12651 |
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