Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management
Southwest China possesses substantial hydropower potential and abundant solar resources. To harness these renewable resources effectively, extensive photovoltaic (PV) facilities and cascaded hydropower stations have been strategically constructed in mountainous regions, culminating in the developmen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10373029/ |
| _version_ | 1797305292768149504 |
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| author | Hong Zhou Liang Lu Mingkui Wei Li Shen Youbo Liu |
| author_facet | Hong Zhou Liang Lu Mingkui Wei Li Shen Youbo Liu |
| author_sort | Hong Zhou |
| collection | DOAJ |
| description | Southwest China possesses substantial hydropower potential and abundant solar resources. To harness these renewable resources effectively, extensive photovoltaic (PV) facilities and cascaded hydropower stations have been strategically constructed in mountainous regions, culminating in the development of hybrid energy systems (HES) that combine hydro, PV, and pumped-storage. Nevertheless, the current research on HES scheduling often neglects the transmission congestion in the local grid to which HES is connected. This oversight results in avoidable curtailment of solar power, load shedding, and water spillage. Hence, this paper introduces a robust optimization model for HES scheduling. The primary objectives are to enhance the integration of renewable energy sources, mitigate water spillage, minimize peak-valley differences in multiple external grids, and alleviate transmission congestion within the HES-connected grid. To validate the effectiveness of this approach, both a modified IEEE 6-bus system and a real-world case study from the Yalong River region in Southwest China are employed. Numerical results illustrate that by involving the HES in local grid congestion management, a substantial reduction in PV generation curtailment and water wastage is achievable, with minimal impact on peak load management in multiple external grids. |
| first_indexed | 2024-03-08T00:24:50Z |
| format | Article |
| id | doaj.art-5c562687c6c74e659a4e361637a91211 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T00:24:50Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5c562687c6c74e659a4e361637a912112024-02-16T00:01:23ZengIEEEIEEE Access2169-35362024-01-0112222302224210.1109/ACCESS.2023.334667010373029Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion ManagementHong Zhou0Liang Lu1Mingkui Wei2Li Shen3Youbo Liu4https://orcid.org/0000-0002-5465-5243Southwest Branch, State Grid Corporation of China, Chengdu, ChinaSouthwest Branch, State Grid Corporation of China, Chengdu, ChinaSouthwest Branch, State Grid Corporation of China, Chengdu, ChinaSouthwest Branch, State Grid Corporation of China, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaSouthwest China possesses substantial hydropower potential and abundant solar resources. To harness these renewable resources effectively, extensive photovoltaic (PV) facilities and cascaded hydropower stations have been strategically constructed in mountainous regions, culminating in the development of hybrid energy systems (HES) that combine hydro, PV, and pumped-storage. Nevertheless, the current research on HES scheduling often neglects the transmission congestion in the local grid to which HES is connected. This oversight results in avoidable curtailment of solar power, load shedding, and water spillage. Hence, this paper introduces a robust optimization model for HES scheduling. The primary objectives are to enhance the integration of renewable energy sources, mitigate water spillage, minimize peak-valley differences in multiple external grids, and alleviate transmission congestion within the HES-connected grid. To validate the effectiveness of this approach, both a modified IEEE 6-bus system and a real-world case study from the Yalong River region in Southwest China are employed. Numerical results illustrate that by involving the HES in local grid congestion management, a substantial reduction in PV generation curtailment and water wastage is achievable, with minimal impact on peak load management in multiple external grids.https://ieeexplore.ieee.org/document/10373029/Cascade hydropower plantspumped-storagerenewable energy integrationgeneration schedulingpeak shavingmultiple interconnected power grids |
| spellingShingle | Hong Zhou Liang Lu Mingkui Wei Li Shen Youbo Liu Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management IEEE Access Cascade hydropower plants pumped-storage renewable energy integration generation scheduling peak shaving multiple interconnected power grids |
| title | Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management |
| title_full | Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management |
| title_fullStr | Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management |
| title_full_unstemmed | Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management |
| title_short | Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management |
| title_sort | robust scheduling of a hybrid hydro photovoltaic pumped storage system for multiple grids peak shaving and congestion management |
| topic | Cascade hydropower plants pumped-storage renewable energy integration generation scheduling peak shaving multiple interconnected power grids |
| url | https://ieeexplore.ieee.org/document/10373029/ |
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