Optimal control of renewable energy communities with controllable assets
Introduction: The control of Renewable Energy Communities (REC) with controllable assets (e.g., batteries) can be formalised as an optimal control problem. This paper proposes a generic formulation for such a problem whereby the electricity generated by the community members is redistributed using r...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.879041/full |
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| author | Samy Aittahar Miguel Manuel de Villena Guillaume Derval Michael Castronovo Ioannis Boukas Quentin Gemine Damien Ernst Damien Ernst |
| author_facet | Samy Aittahar Miguel Manuel de Villena Guillaume Derval Michael Castronovo Ioannis Boukas Quentin Gemine Damien Ernst Damien Ernst |
| author_sort | Samy Aittahar |
| collection | DOAJ |
| description | Introduction: The control of Renewable Energy Communities (REC) with controllable assets (e.g., batteries) can be formalised as an optimal control problem. This paper proposes a generic formulation for such a problem whereby the electricity generated by the community members is redistributed using repartition keys. These keys represent the fraction of the surplus of local electricity production (i.e., electricity generated within the community but not consumed by any community member) to be allocated to each community member. This formalisation enables us to jointly optimise the controllable assets and the repartition keys, minimising the combined total value of the electricity bills of the members.Methods: To perform this optimisation, we propose two algorithms aimed at solving an optimal open-loop control problem in a receding horizon fashion. Moreover, we also propose another approximated algorithm which only optimises the controllable assets (as opposed to optimising both controllable assets and repartition keys). We test these algorithms on Renewable Energy Communities control problems constructed from synthetic data, inspired from a real-life case of REC.Results: Our results show that the combined total value of the electricity bills of the members is greatly reduced when simultaneously optimising the controllable assets and the repartition keys (i.e., the first two algorithms proposed).Discussion: These findings strongly advocate the need for algorithms that adopt a more holistic standpoint when it comes to controlling energy systems such as renewable energy communities, co-optimising or jointly optimising them from both a traditional (very granular) control standpoint and a larger economic perspective. |
| first_indexed | 2024-04-10T17:44:07Z |
| format | Article |
| id | doaj.art-4631df6705614554a682f128c4e7c9ac |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T17:44:07Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-4631df6705614554a682f128c4e7c9ac2023-02-03T06:08:34ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-02-011110.3389/fenrg.2023.879041879041Optimal control of renewable energy communities with controllable assetsSamy Aittahar0Miguel Manuel de Villena1Guillaume Derval2Michael Castronovo3Ioannis Boukas4Quentin Gemine5Damien Ernst6Damien Ernst7Department of Electrical Engineering and Computer Science, University of Liège, Liège, BelgiumDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, BelgiumDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, BelgiumDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, BelgiumDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, BelgiumHaulogy, Braine-Le-Comte, BelgiumDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, BelgiumLTCI, Telecom Paris, Institut Polytechnique de Paris, Paris, FranceIntroduction: The control of Renewable Energy Communities (REC) with controllable assets (e.g., batteries) can be formalised as an optimal control problem. This paper proposes a generic formulation for such a problem whereby the electricity generated by the community members is redistributed using repartition keys. These keys represent the fraction of the surplus of local electricity production (i.e., electricity generated within the community but not consumed by any community member) to be allocated to each community member. This formalisation enables us to jointly optimise the controllable assets and the repartition keys, minimising the combined total value of the electricity bills of the members.Methods: To perform this optimisation, we propose two algorithms aimed at solving an optimal open-loop control problem in a receding horizon fashion. Moreover, we also propose another approximated algorithm which only optimises the controllable assets (as opposed to optimising both controllable assets and repartition keys). We test these algorithms on Renewable Energy Communities control problems constructed from synthetic data, inspired from a real-life case of REC.Results: Our results show that the combined total value of the electricity bills of the members is greatly reduced when simultaneously optimising the controllable assets and the repartition keys (i.e., the first two algorithms proposed).Discussion: These findings strongly advocate the need for algorithms that adopt a more holistic standpoint when it comes to controlling energy systems such as renewable energy communities, co-optimising or jointly optimising them from both a traditional (very granular) control standpoint and a larger economic perspective.https://www.frontiersin.org/articles/10.3389/fenrg.2023.879041/fulloptimisationrenewable energycarbon neutrallinear programmingenergy communitieslocal electricity market |
| spellingShingle | Samy Aittahar Miguel Manuel de Villena Guillaume Derval Michael Castronovo Ioannis Boukas Quentin Gemine Damien Ernst Damien Ernst Optimal control of renewable energy communities with controllable assets Frontiers in Energy Research optimisation renewable energy carbon neutral linear programming energy communities local electricity market |
| title | Optimal control of renewable energy communities with controllable assets |
| title_full | Optimal control of renewable energy communities with controllable assets |
| title_fullStr | Optimal control of renewable energy communities with controllable assets |
| title_full_unstemmed | Optimal control of renewable energy communities with controllable assets |
| title_short | Optimal control of renewable energy communities with controllable assets |
| title_sort | optimal control of renewable energy communities with controllable assets |
| topic | optimisation renewable energy carbon neutral linear programming energy communities local electricity market |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.879041/full |
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