Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model
The paradigm shift of large power systems to renewable and decentralized generation raises the question of future transmission and flexibility requirements. In this work, the German power system is brought to focus through a power transmission grid model in a high spatial resolution considering the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/11/12/3365 |
| _version_ | 1798002487661166592 |
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| author | Lukas Wienholt Ulf Philipp Müller Julian Bartels |
| author_facet | Lukas Wienholt Ulf Philipp Müller Julian Bartels |
| author_sort | Lukas Wienholt |
| collection | DOAJ |
| description | The paradigm shift of large power systems to renewable and decentralized generation raises the question of future transmission and flexibility requirements. In this work, the German power system is brought to focus through a power transmission grid model in a high spatial resolution considering the high voltage (110 kV) level. The fundamental questions of location, type, and size of future storage units are addressed through a linear optimal power flow using today’s power grid capacities and a generation portfolio allowing a 66% generation share of renewable energy. The results of the optimization indicate that for reaching a renewable energy generation share of 53% with this set-up, a few central storage units with a relatively low overall additional storage capacity of around 1.6 GW are required. By adding a constraint of achieving a renewable generation share of at least 66%, storage capacities increase to almost eight times the original capacity. A comparison with the German grid development plan, which provided the basis for the power generation data, showed that despite the non-consideration of transmission grid extension, moderate additional storage capacities lead to a feasible power system. However, the achievement of a comparable renewable generation share provokes a significant investment in additional storage capacities. |
| first_indexed | 2024-04-11T11:52:58Z |
| format | Article |
| id | doaj.art-51983af8f12e4fa4b1f4cc52ffc7d836 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T11:52:58Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-51983af8f12e4fa4b1f4cc52ffc7d8362022-12-22T04:25:15ZengMDPI AGEnergies1996-10732018-12-011112336510.3390/en11123365en11123365Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System ModelLukas Wienholt0Ulf Philipp Müller1Julian Bartels2Centre for Sustainable Energy Systems, Europa Universität Flensburg, Auf dem Campus 1, 24943 Flensburg, GermanyCentre for Sustainable Energy Systems, Flensburg University of Applied Sciences, Kanzleistraße 91–93, 24943 Flensburg, GermanyDLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, GermanyThe paradigm shift of large power systems to renewable and decentralized generation raises the question of future transmission and flexibility requirements. In this work, the German power system is brought to focus through a power transmission grid model in a high spatial resolution considering the high voltage (110 kV) level. The fundamental questions of location, type, and size of future storage units are addressed through a linear optimal power flow using today’s power grid capacities and a generation portfolio allowing a 66% generation share of renewable energy. The results of the optimization indicate that for reaching a renewable energy generation share of 53% with this set-up, a few central storage units with a relatively low overall additional storage capacity of around 1.6 GW are required. By adding a constraint of achieving a renewable generation share of at least 66%, storage capacities increase to almost eight times the original capacity. A comparison with the German grid development plan, which provided the basis for the power generation data, showed that despite the non-consideration of transmission grid extension, moderate additional storage capacities lead to a feasible power system. However, the achievement of a comparable renewable generation share provokes a significant investment in additional storage capacities.https://www.mdpi.com/1996-1073/11/12/3365power system flexibilityoptimizationrenewable energystoragepower grid model |
| spellingShingle | Lukas Wienholt Ulf Philipp Müller Julian Bartels Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model Energies power system flexibility optimization renewable energy storage power grid model |
| title | Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model |
| title_full | Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model |
| title_fullStr | Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model |
| title_full_unstemmed | Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model |
| title_short | Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model |
| title_sort | optimal sizing and spatial allocation of storage units in a high resolution power system model |
| topic | power system flexibility optimization renewable energy storage power grid model |
| url | https://www.mdpi.com/1996-1073/11/12/3365 |
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