Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty
The widespread adoption of renewable energy sources presents a significant challenge to the flexibility of power system. To assess the flexibility of the power system in scenarios with uncertain renewable energy output, it is crucial to quantify it quantitatively. This evaluation plays a vital role...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1359233/full |
| _version_ | 1797260834244657152 |
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| author | Qing Ai Jianqiang Xiang Yaolin Liu Luguang Qu Jinchao Cao Xiangnan Li Yingge Wang |
| author_facet | Qing Ai Jianqiang Xiang Yaolin Liu Luguang Qu Jinchao Cao Xiangnan Li Yingge Wang |
| author_sort | Qing Ai |
| collection | DOAJ |
| description | The widespread adoption of renewable energy sources presents a significant challenge to the flexibility of power system. To assess the flexibility of the power system in scenarios with uncertain renewable energy output, it is crucial to quantify it quantitatively. This evaluation plays a vital role in planning flexible regulatory resources and dispatching resources for both the energy source and load. This study introduces a novel flexibility assessment model tailored for power grids with high renewable energy penetration, specifically addressing uncertainty associated with wind and PV. By analyzing the impact of wind and PV uncertainty on system flexibility, the paper proposes an improved cohesive hierarchical cluster analysis method, incorporating reliability considerations based on the Davies-Bouldin classification reliability index. Additionally, the study develops models for flexibility resources and demands within high renewable energy power systems, along with quantitative assessment indicators across three key aspects. Through a structured flexibility assessment process accounting for wind and PV uncertainty, the effectiveness of the proposed approach is validated using real-world data from a renewable energy power grid in Shandong province. A set of typical renewable energy output scenarios with uncertainty is constructed using the improved hierarchical cluster analysis method. The study then analyses the impact of different wind and PV penetration rates and the proportion of energy storage units on system flexibility by the flexibility assessment model to validate the proposed method's effectiveness. |
| first_indexed | 2024-04-24T23:31:37Z |
| format | Article |
| id | doaj.art-8efbf791bd0c4774b1d52be4a1374751 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-24T23:31:37Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-8efbf791bd0c4774b1d52be4a13747512024-03-15T14:39:55ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-03-011210.3389/fenrg.2024.13592331359233Multi-scenario flexibility assessment of power systems considering renewable energy output uncertaintyQing Ai0Jianqiang Xiang1Yaolin Liu2Luguang Qu3Jinchao Cao4Xiangnan Li5Yingge Wang6Renewables (Qingyun) Co., Ltd., China Three Gorges Corporation, Dezhou, ChinaRenewables (Qingyun) Co., Ltd., China Three Gorges Corporation, Dezhou, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaRenewables (Qingyun) Co., Ltd., China Three Gorges Corporation, Dezhou, ChinaRenewables (Qingyun) Co., Ltd., China Three Gorges Corporation, Dezhou, ChinaRenewables (Qingyun) Co., Ltd., China Three Gorges Corporation, Dezhou, ChinaRenewables (Qingyun) Co., Ltd., China Three Gorges Corporation, Dezhou, ChinaThe widespread adoption of renewable energy sources presents a significant challenge to the flexibility of power system. To assess the flexibility of the power system in scenarios with uncertain renewable energy output, it is crucial to quantify it quantitatively. This evaluation plays a vital role in planning flexible regulatory resources and dispatching resources for both the energy source and load. This study introduces a novel flexibility assessment model tailored for power grids with high renewable energy penetration, specifically addressing uncertainty associated with wind and PV. By analyzing the impact of wind and PV uncertainty on system flexibility, the paper proposes an improved cohesive hierarchical cluster analysis method, incorporating reliability considerations based on the Davies-Bouldin classification reliability index. Additionally, the study develops models for flexibility resources and demands within high renewable energy power systems, along with quantitative assessment indicators across three key aspects. Through a structured flexibility assessment process accounting for wind and PV uncertainty, the effectiveness of the proposed approach is validated using real-world data from a renewable energy power grid in Shandong province. A set of typical renewable energy output scenarios with uncertainty is constructed using the improved hierarchical cluster analysis method. The study then analyses the impact of different wind and PV penetration rates and the proportion of energy storage units on system flexibility by the flexibility assessment model to validate the proposed method's effectiveness.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1359233/fullrenewable energypower system flexibilityevaluation modelresource schedulinghierarchical cluster analysis |
| spellingShingle | Qing Ai Jianqiang Xiang Yaolin Liu Luguang Qu Jinchao Cao Xiangnan Li Yingge Wang Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty Frontiers in Energy Research renewable energy power system flexibility evaluation model resource scheduling hierarchical cluster analysis |
| title | Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty |
| title_full | Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty |
| title_fullStr | Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty |
| title_full_unstemmed | Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty |
| title_short | Multi-scenario flexibility assessment of power systems considering renewable energy output uncertainty |
| title_sort | multi scenario flexibility assessment of power systems considering renewable energy output uncertainty |
| topic | renewable energy power system flexibility evaluation model resource scheduling hierarchical cluster analysis |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1359233/full |
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