A multi-objective optimization model for the coordinated operation of hydropower and renewable energy
The rapid growth of wind and solar energy sources in recent years has brought challenges to power systems. One challenge is surging wind and solar electric generation, understanding how to consume such generation is important. Achieving the complementarity of hydropower and renewable energies such a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1193415/full |
| _version_ | 1797830036505493504 |
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| author | Benxi Liu Zihan Peng Shengli Liao Tengyuan Liu Jia Lu |
| author_facet | Benxi Liu Zihan Peng Shengli Liao Tengyuan Liu Jia Lu |
| author_sort | Benxi Liu |
| collection | DOAJ |
| description | The rapid growth of wind and solar energy sources in recent years has brought challenges to power systems. One challenge is surging wind and solar electric generation, understanding how to consume such generation is important. Achieving the complementarity of hydropower and renewable energies such as wind and solar power by utilizing the flexible regulation performance of hydropower is helpful to provide firm power to help renewable energy consumption. However, the multi-energy complementary operation mode will change the traditional hydropower operation mode, causing challenges to the comprehensive utilization of hydropower. In this paper, a multi-objective optimal scheduling model is built by considering coordinated hydro-wind-solar system peak shaving and downstream navigation. First, the Gaussian mixture model is adopted to quantify the uncertainty of wind and solar power. Then, a hydro-wind-solar coordinated model was built to obtain the standard deviation of the residual load and the standard deviation of the downstream water level. Finally, the ε-constraint method is used to solve for the Pareto optimality. The results demonstrate the following: 1) The proposed model can effectively determine hydropower output schemes that can coordinate wind and solar power output to reconcile peak shaving and navigation; 2) The downstream hydropower stations’ reverse regulation of the upstream hydropower station is a positive factor in reconciling conflicts; and 3) Reasonable planning of wind power and solar power is helpful for hydro-wind solar power complement operation. |
| first_indexed | 2024-04-09T13:29:40Z |
| format | Article |
| id | doaj.art-7344c4db9cef4792917cc7efa2566a31 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-09T13:29:40Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-7344c4db9cef4792917cc7efa2566a312023-05-10T04:53:01ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-05-011110.3389/fenrg.2023.11934151193415A multi-objective optimization model for the coordinated operation of hydropower and renewable energyBenxi Liu0Zihan Peng1Shengli Liao2Tengyuan Liu3Jia Lu4Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian, ChinaInstitute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian, ChinaInstitute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian, ChinaInstitute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian, ChinaHubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co Ltd, Yichang, Hubei, ChinaThe rapid growth of wind and solar energy sources in recent years has brought challenges to power systems. One challenge is surging wind and solar electric generation, understanding how to consume such generation is important. Achieving the complementarity of hydropower and renewable energies such as wind and solar power by utilizing the flexible regulation performance of hydropower is helpful to provide firm power to help renewable energy consumption. However, the multi-energy complementary operation mode will change the traditional hydropower operation mode, causing challenges to the comprehensive utilization of hydropower. In this paper, a multi-objective optimal scheduling model is built by considering coordinated hydro-wind-solar system peak shaving and downstream navigation. First, the Gaussian mixture model is adopted to quantify the uncertainty of wind and solar power. Then, a hydro-wind-solar coordinated model was built to obtain the standard deviation of the residual load and the standard deviation of the downstream water level. Finally, the ε-constraint method is used to solve for the Pareto optimality. The results demonstrate the following: 1) The proposed model can effectively determine hydropower output schemes that can coordinate wind and solar power output to reconcile peak shaving and navigation; 2) The downstream hydropower stations’ reverse regulation of the upstream hydropower station is a positive factor in reconciling conflicts; and 3) Reasonable planning of wind power and solar power is helpful for hydro-wind solar power complement operation.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1193415/fullhydro-wind-solargeneration schedulingmulti-objectivepeak shavingnavigation |
| spellingShingle | Benxi Liu Zihan Peng Shengli Liao Tengyuan Liu Jia Lu A multi-objective optimization model for the coordinated operation of hydropower and renewable energy Frontiers in Energy Research hydro-wind-solar generation scheduling multi-objective peak shaving navigation |
| title | A multi-objective optimization model for the coordinated operation of hydropower and renewable energy |
| title_full | A multi-objective optimization model for the coordinated operation of hydropower and renewable energy |
| title_fullStr | A multi-objective optimization model for the coordinated operation of hydropower and renewable energy |
| title_full_unstemmed | A multi-objective optimization model for the coordinated operation of hydropower and renewable energy |
| title_short | A multi-objective optimization model for the coordinated operation of hydropower and renewable energy |
| title_sort | multi objective optimization model for the coordinated operation of hydropower and renewable energy |
| topic | hydro-wind-solar generation scheduling multi-objective peak shaving navigation |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1193415/full |
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