Optimal operation scheduling of a pump hydro storage system coupled with a wind farm
Abstract The variability in non‐dispatchable power generation makes essential the improvement of production management. This study focuses on the development of an optimisation model for a renewable power unit, composed of a wind farm and a hydro‐pump storage power plant, to maximise its revenue. Th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12014 |
| _version_ | 1797894188389367808 |
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| author | João Graça Gomes João Telhada Huijin Xu António Sá da Costa Changying Zhao |
| author_facet | João Graça Gomes João Telhada Huijin Xu António Sá da Costa Changying Zhao |
| author_sort | João Graça Gomes |
| collection | DOAJ |
| description | Abstract The variability in non‐dispatchable power generation makes essential the improvement of production management. This study focuses on the development of an optimisation model for a renewable power unit, composed of a wind farm and a hydro‐pump storage power plant, to maximise its revenue. The combination of the two technologies allows the mitigation of risks associated with wind production and electricity price variability. The problem is formulated using linear programming and encompasses the selling of electricity in the Iberian day‐ahead market and through a bilateral contract. The model is tested and scrutinised with sets of real historical generation and price data. In the day‐ahead market scenario, the proposed methodology leads to an average yearly increase of net revenue ranging between 5% and 20%. In the bilateral contract scenario, the coupling of the wind farm and hydropower plant can reduce the imbalances costs substantially. Furthermore, the work identifies a positive correlation between reservoir dimension, turbine capacity and revenue value. The study also detects a revenue reduction tendency related to the decrease in the volatility of electricity prices. |
| first_indexed | 2024-04-10T07:06:05Z |
| format | Article |
| id | doaj.art-55e0c36756f74697b579403c2529cd58 |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-04-10T07:06:05Z |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-55e0c36756f74697b579403c2529cd582023-02-27T08:21:53ZengWileyIET Renewable Power Generation1752-14161752-14242021-01-0115117319210.1049/rpg2.12014Optimal operation scheduling of a pump hydro storage system coupled with a wind farmJoão Graça Gomes0João Telhada1Huijin Xu2António Sá da Costa3Changying Zhao4China‐UK Low Carbon College Shanghai Jiao Tong University Shanghai ChinaCMAF‐CIO and CEAUL University of Lisbon Campo Grande Lisbon PortugalChina‐UK Low Carbon College Shanghai Jiao Tong University Shanghai ChinaPortuguese Renewable Energy Association Lisbon PortugalChina‐UK Low Carbon College Shanghai Jiao Tong University Shanghai ChinaAbstract The variability in non‐dispatchable power generation makes essential the improvement of production management. This study focuses on the development of an optimisation model for a renewable power unit, composed of a wind farm and a hydro‐pump storage power plant, to maximise its revenue. The combination of the two technologies allows the mitigation of risks associated with wind production and electricity price variability. The problem is formulated using linear programming and encompasses the selling of electricity in the Iberian day‐ahead market and through a bilateral contract. The model is tested and scrutinised with sets of real historical generation and price data. In the day‐ahead market scenario, the proposed methodology leads to an average yearly increase of net revenue ranging between 5% and 20%. In the bilateral contract scenario, the coupling of the wind farm and hydropower plant can reduce the imbalances costs substantially. Furthermore, the work identifies a positive correlation between reservoir dimension, turbine capacity and revenue value. The study also detects a revenue reduction tendency related to the decrease in the volatility of electricity prices.https://doi.org/10.1049/rpg2.12014Pumped storage stations and plantsWind power plantsOptimisation techniquesPower system management, operation and economics |
| spellingShingle | João Graça Gomes João Telhada Huijin Xu António Sá da Costa Changying Zhao Optimal operation scheduling of a pump hydro storage system coupled with a wind farm IET Renewable Power Generation Pumped storage stations and plants Wind power plants Optimisation techniques Power system management, operation and economics |
| title | Optimal operation scheduling of a pump hydro storage system coupled with a wind farm |
| title_full | Optimal operation scheduling of a pump hydro storage system coupled with a wind farm |
| title_fullStr | Optimal operation scheduling of a pump hydro storage system coupled with a wind farm |
| title_full_unstemmed | Optimal operation scheduling of a pump hydro storage system coupled with a wind farm |
| title_short | Optimal operation scheduling of a pump hydro storage system coupled with a wind farm |
| title_sort | optimal operation scheduling of a pump hydro storage system coupled with a wind farm |
| topic | Pumped storage stations and plants Wind power plants Optimisation techniques Power system management, operation and economics |
| url | https://doi.org/10.1049/rpg2.12014 |
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