Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets
Virtual power plants (VPPs) offer a feasible solution for integrating various types of distributed energy resources (DERs) into the power grid in the electricity market. This paper proposes a multi-time-scale rolling optimal scheduling for VPPs, enabling optimal self-scheduling plans across intra-we...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/19/6806 |
| _version_ | 1797575973719244800 |
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| author | Xiaoqing Shi Xiaoqing Bai Puming Wang Qinghua Shang |
| author_facet | Xiaoqing Shi Xiaoqing Bai Puming Wang Qinghua Shang |
| author_sort | Xiaoqing Shi |
| collection | DOAJ |
| description | Virtual power plants (VPPs) offer a feasible solution for integrating various types of distributed energy resources (DERs) into the power grid in the electricity market. This paper proposes a multi-time-scale rolling optimal scheduling for VPPs, enabling optimal self-scheduling plans across intra-week rolling scheduling, intra-day rolling dispatch, and real-time dispatch. The proposed method facilitates participation in energy and flexible ramping product (FRP) markets while considering the specific characteristics with complementary advantages for the aggregated renewable resources, gas turbines, energy storages, and flexible demands of each time scale. The flexible ramping products within the VPP framework are established, while the energy storage systems address fluctuations during dispatch periods. Case studies are conducted to verify the efficiency of the proposed method. The results show that the proposed method can obtain optimal self-scheduling plans within the multi-time framework and has better performance in economy and security operation in comparisons among cases. |
| first_indexed | 2024-03-10T21:46:01Z |
| format | Article |
| id | doaj.art-bf0c0867a8e740ceb3395f09f784ab26 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:46:01Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-bf0c0867a8e740ceb3395f09f784ab262023-11-19T14:19:09ZengMDPI AGEnergies1996-10732023-09-011619680610.3390/en16196806Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product MarketsXiaoqing Shi0Xiaoqing Bai1Puming Wang2Qinghua Shang3Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning 530004, ChinaGuangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning 530004, ChinaGuangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning 530004, ChinaGuangxi Key Laboratory of Power System Optimization and Energy Saving Technology, Guangxi University, Nanning 530004, ChinaVirtual power plants (VPPs) offer a feasible solution for integrating various types of distributed energy resources (DERs) into the power grid in the electricity market. This paper proposes a multi-time-scale rolling optimal scheduling for VPPs, enabling optimal self-scheduling plans across intra-week rolling scheduling, intra-day rolling dispatch, and real-time dispatch. The proposed method facilitates participation in energy and flexible ramping product (FRP) markets while considering the specific characteristics with complementary advantages for the aggregated renewable resources, gas turbines, energy storages, and flexible demands of each time scale. The flexible ramping products within the VPP framework are established, while the energy storage systems address fluctuations during dispatch periods. Case studies are conducted to verify the efficiency of the proposed method. The results show that the proposed method can obtain optimal self-scheduling plans within the multi-time framework and has better performance in economy and security operation in comparisons among cases.https://www.mdpi.com/1996-1073/16/19/6806energy storage systemflexible ramping productmulti-time scalevirtual power plant |
| spellingShingle | Xiaoqing Shi Xiaoqing Bai Puming Wang Qinghua Shang Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets Energies energy storage system flexible ramping product multi-time scale virtual power plant |
| title | Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets |
| title_full | Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets |
| title_fullStr | Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets |
| title_full_unstemmed | Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets |
| title_short | Multi-Time-Scale Rolling Optimal Scheduling of Virtual Power Plants in Energy and Flexible Ramping Product Markets |
| title_sort | multi time scale rolling optimal scheduling of virtual power plants in energy and flexible ramping product markets |
| topic | energy storage system flexible ramping product multi-time scale virtual power plant |
| url | https://www.mdpi.com/1996-1073/16/19/6806 |
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