Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage
The inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/11/1804 |
| _version_ | 1797999173551783936 |
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| author | Yi Tang Yuqian Liu Jia Ning Jingbo Zhao |
| author_facet | Yi Tang Yuqian Liu Jia Ning Jingbo Zhao |
| author_sort | Yi Tang |
| collection | DOAJ |
| description | The inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper proposes a multi-time scale coordinated scheduling model with DPFC to minimize wind power spillage. Configuration of DPFCs is initially determined by stochastic method. Afterward, two sequential procedures containing day-head and real-time scales are applied for determining maximum schedulable wind sources, optimal outputs of generating units and operation setting of DPFCs. The generating plan is obtained initially in day-ahead scheduling stage and modified in real-time scheduling model, while considering the uncertainty of wind power and fast operation of DPFC. Numerical simulation results in IEEE-RTS79 system illustrate that wind power is maximum scheduled with the optimal deployment and operation of DPFC, which confirms the applicability and effectiveness of the proposed method. |
| first_indexed | 2024-04-11T11:00:25Z |
| format | Article |
| id | doaj.art-0b2bfc39af794cfe9f392e1848694ac3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T11:00:25Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0b2bfc39af794cfe9f392e1848694ac32022-12-22T04:28:38ZengMDPI AGEnergies1996-10732017-11-011011180410.3390/en10111804en10111804Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power SpillageYi Tang0Yuqian Liu1Jia Ning2Jingbo Zhao3Jiangsu Provincial Key Laboratory of Smart Grid Technology & Equipment, Southeast University, Nanjing 210096, Jiangsu, ChinaJiangsu Provincial Key Laboratory of Smart Grid Technology & Equipment, Southeast University, Nanjing 210096, Jiangsu, ChinaJiangsu Provincial Key Laboratory of Smart Grid Technology & Equipment, Southeast University, Nanjing 210096, Jiangsu, ChinaJiangsu Electric Power Company Research Institute, Nanjing 211103, Jiangsu, ChinaThe inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper proposes a multi-time scale coordinated scheduling model with DPFC to minimize wind power spillage. Configuration of DPFCs is initially determined by stochastic method. Afterward, two sequential procedures containing day-head and real-time scales are applied for determining maximum schedulable wind sources, optimal outputs of generating units and operation setting of DPFCs. The generating plan is obtained initially in day-ahead scheduling stage and modified in real-time scheduling model, while considering the uncertainty of wind power and fast operation of DPFC. Numerical simulation results in IEEE-RTS79 system illustrate that wind power is maximum scheduled with the optimal deployment and operation of DPFC, which confirms the applicability and effectiveness of the proposed method.https://www.mdpi.com/1996-1073/10/11/1804distributed power flow controllerwind power spillagemulti-time scalescoordinated scheduling |
| spellingShingle | Yi Tang Yuqian Liu Jia Ning Jingbo Zhao Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage Energies distributed power flow controller wind power spillage multi-time scales coordinated scheduling |
| title | Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage |
| title_full | Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage |
| title_fullStr | Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage |
| title_full_unstemmed | Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage |
| title_short | Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage |
| title_sort | multi time scale coordinated scheduling strategy with distributed power flow controllers for minimizing wind power spillage |
| topic | distributed power flow controller wind power spillage multi-time scales coordinated scheduling |
| url | https://www.mdpi.com/1996-1073/10/11/1804 |
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