Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems
The great proliferation of wind power generation has brought about great challenges to power system operations. To mitigate the ramifications of wind power uncertainty on operational reliability, predictive scheduling of generation and transmission resources is required in the day-ahead and real-tim...
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| Format: | Article |
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MDPI AG
2018-09-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/10/1726 |
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| author | Yu Huang Qingshan Xu Guang Lin |
| author_facet | Yu Huang Qingshan Xu Guang Lin |
| author_sort | Yu Huang |
| collection | DOAJ |
| description | The great proliferation of wind power generation has brought about great challenges to power system operations. To mitigate the ramifications of wind power uncertainty on operational reliability, predictive scheduling of generation and transmission resources is required in the day-ahead and real-time markets. In this regard, this paper presents a risk-averse stochastic unit commitment model that incorporates transmission reserves to flexibly manage uncertainty-induced congestion. In this two-settlement market framework, the key statistical features of line flows are extracted using a high-dimensional probabilistic collocation method in the real-time dispatch, for which the spatial correlation between wind farms is also considered. These features are then used to quantify transmission reserve requirements in the transmission constraints at the day-ahead stage. Comparative studies on the IEEE 57-bus system demonstrate that the proposed method outperforms the conventional unit commitment (UC) to enhance the system reliability with wind power integration while leading to more cost-effective operations. |
| first_indexed | 2024-12-11T21:43:15Z |
| format | Article |
| id | doaj.art-b2ba973c6e9f4e77bfca9687ab4bb016 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-11T21:43:15Z |
| publishDate | 2018-09-01 |
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| spelling | doaj.art-b2ba973c6e9f4e77bfca9687ab4bb0162022-12-22T00:49:44ZengMDPI AGApplied Sciences2076-34172018-09-01810172610.3390/app8101726app8101726Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power SystemsYu Huang0Qingshan Xu1Guang Lin2School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaDepartment of Mathematics, Purdue University, West Lafayette, IN 47907, USAThe great proliferation of wind power generation has brought about great challenges to power system operations. To mitigate the ramifications of wind power uncertainty on operational reliability, predictive scheduling of generation and transmission resources is required in the day-ahead and real-time markets. In this regard, this paper presents a risk-averse stochastic unit commitment model that incorporates transmission reserves to flexibly manage uncertainty-induced congestion. In this two-settlement market framework, the key statistical features of line flows are extracted using a high-dimensional probabilistic collocation method in the real-time dispatch, for which the spatial correlation between wind farms is also considered. These features are then used to quantify transmission reserve requirements in the transmission constraints at the day-ahead stage. Comparative studies on the IEEE 57-bus system demonstrate that the proposed method outperforms the conventional unit commitment (UC) to enhance the system reliability with wind power integration while leading to more cost-effective operations.http://www.mdpi.com/2076-3417/8/10/1726stochastic programmingunit commitmenttransmission reserveswind power forecastreal-time dispatchuncertainty quantification |
| spellingShingle | Yu Huang Qingshan Xu Guang Lin Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems Applied Sciences stochastic programming unit commitment transmission reserves wind power forecast real-time dispatch uncertainty quantification |
| title | Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems |
| title_full | Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems |
| title_fullStr | Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems |
| title_full_unstemmed | Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems |
| title_short | Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems |
| title_sort | congestion risk averse stochastic unit commitment with transmission reserves in wind thermal power systems |
| topic | stochastic programming unit commitment transmission reserves wind power forecast real-time dispatch uncertainty quantification |
| url | http://www.mdpi.com/2076-3417/8/10/1726 |
| work_keys_str_mv | AT yuhuang congestionriskaversestochasticunitcommitmentwithtransmissionreservesinwindthermalpowersystems AT qingshanxu congestionriskaversestochasticunitcommitmentwithtransmissionreservesinwindthermalpowersystems AT guanglin congestionriskaversestochasticunitcommitmentwithtransmissionreservesinwindthermalpowersystems |