Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective
Renewable energy sources generated locally are becoming increasingly popular in order to achieve carbon neutrality in the near future. Some of these sources are being used in neighbourhood (local, or energy communities) grids to achieve high levels of self-sufficiency. However, the objectives of the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/11/4319 |
| _version_ | 1827739546323779584 |
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| author | Rebeca Ramirez Acosta Chathura Wanigasekara Emilie Frost Tobias Brandt Sebastian Lehnhoff Christof Büskens |
| author_facet | Rebeca Ramirez Acosta Chathura Wanigasekara Emilie Frost Tobias Brandt Sebastian Lehnhoff Christof Büskens |
| author_sort | Rebeca Ramirez Acosta |
| collection | DOAJ |
| description | Renewable energy sources generated locally are becoming increasingly popular in order to achieve carbon neutrality in the near future. Some of these sources are being used in neighbourhood (local, or energy communities) grids to achieve high levels of self-sufficiency. However, the objectives of the local grid and the distribution grid to which it is connected are different and can sometimes conflict with each other. Although the distribution grid allows access to all variable resources, in certain circumstances, such as when its infrastructure is overloaded, <i>redispatch</i> measures need to be implemented. The complexity and uncertainties associated with current and future energy systems make this a challenging bi-level multi-criteria optimisation problem, with the distribution grid representing the upper level and the neighbourhood grid representing the lower level. Solving these problems numerically is not an easy task. However, there are new opportunities to solve these problems with less computational costs if we decompose the flexibility in the lower lever. Therefore, this paper presents a mathematical approach to optimise grid management systems by aggregating flexibility from neighbourhood grids. This mathematical approach can be implemented with centralised or decentralised algorithms to solve congestion problems in distribution grids. |
| first_indexed | 2024-03-11T03:08:15Z |
| format | Article |
| id | doaj.art-11166ff7ff1049d3b39b99480ab1945f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T03:08:15Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-11166ff7ff1049d3b39b99480ab1945f2023-11-18T07:47:14ZengMDPI AGEnergies1996-10732023-05-011611431910.3390/en16114319Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A PerspectiveRebeca Ramirez Acosta0Chathura Wanigasekara1Emilie Frost2Tobias Brandt3Sebastian Lehnhoff4Christof Büskens5OFFIS—Institute for Informatics, Escherweg 2, 26121 Oldenburg, GermanyCenter for Industrial Mathematics, University of Bremen, 28359 Bremen, GermanyOFFIS—Institute for Informatics, Escherweg 2, 26121 Oldenburg, GermanyOFFIS—Institute for Informatics, Escherweg 2, 26121 Oldenburg, GermanyOFFIS—Institute for Informatics, Escherweg 2, 26121 Oldenburg, GermanyCenter for Industrial Mathematics, University of Bremen, 28359 Bremen, GermanyRenewable energy sources generated locally are becoming increasingly popular in order to achieve carbon neutrality in the near future. Some of these sources are being used in neighbourhood (local, or energy communities) grids to achieve high levels of self-sufficiency. However, the objectives of the local grid and the distribution grid to which it is connected are different and can sometimes conflict with each other. Although the distribution grid allows access to all variable resources, in certain circumstances, such as when its infrastructure is overloaded, <i>redispatch</i> measures need to be implemented. The complexity and uncertainties associated with current and future energy systems make this a challenging bi-level multi-criteria optimisation problem, with the distribution grid representing the upper level and the neighbourhood grid representing the lower level. Solving these problems numerically is not an easy task. However, there are new opportunities to solve these problems with less computational costs if we decompose the flexibility in the lower lever. Therefore, this paper presents a mathematical approach to optimise grid management systems by aggregating flexibility from neighbourhood grids. This mathematical approach can be implemented with centralised or decentralised algorithms to solve congestion problems in distribution grids.https://www.mdpi.com/1996-1073/16/11/4319renewable energybi-level optimisationmulti-objective optimisationsmart grids |
| spellingShingle | Rebeca Ramirez Acosta Chathura Wanigasekara Emilie Frost Tobias Brandt Sebastian Lehnhoff Christof Büskens Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective Energies renewable energy bi-level optimisation multi-objective optimisation smart grids |
| title | Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective |
| title_full | Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective |
| title_fullStr | Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective |
| title_full_unstemmed | Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective |
| title_short | Integration of Intelligent Neighbourhood Grids to the German Distribution Grid: A Perspective |
| title_sort | integration of intelligent neighbourhood grids to the german distribution grid a perspective |
| topic | renewable energy bi-level optimisation multi-objective optimisation smart grids |
| url | https://www.mdpi.com/1996-1073/16/11/4319 |
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