Day-ahead wind-thermal unit commitment considering historical virtual wind power data
| Autor: | Renhui Chen, Xiangxin Shao, Zonghao Li, Haolin Li, Jizhe Dong, Like Tang, Shunjie Han, Longfei Wu, Cunlong Zheng |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Wind power
business.industry Computer science Astrophysics::High Energy Astrophysical Phenomena Mechanical Engineering Scheduling (production processes) Building and Construction Pollution Industrial and Manufacturing Engineering Wind speed Electric power system General Energy Power system simulation Control theory Transfer (computing) Distortion Physics::Space Physics Astrophysics::Solar and Stellar Astrophysics Electrical and Electronic Engineering business Spinning Physics::Atmospheric and Oceanic Physics Civil and Structural Engineering |
| Zdroj: | Energy. 235:121324 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2021.121324 |
| Popis: | The uncertainty in wind power affects the generation scheduling (unit commitment) of coal-dominated power systems. A reasonable spinning reserve is required to handle this uncertainty. In this study, a method that considers the unique local wind regime into the calculation of spinning reserve requirements and makes the unit commitment more local-adaptive is presented. First, a virtual wind power transfer matrix which displays the probabilities of wind power transferring from one value to another by using the historical wind speed data is formulated. Second, the spinning reserve requirements of the wind-thermal power system are calculated according to the virtual wind power transfer matrix. Finally, the day-ahead unit commitment is conducted based on the spinning reserve calculation. The main advantage of using historical virtual wind power data, instead of historical wind speed data, is the acquisition of real wind power transfer probabilities, which avoids the distortion caused by the nonlinear conversion between wind power and wind speed. Application and comparison studies to demonstrate the effectiveness and cost benefits are performed on two systems. Sensitivity analyses of different parameters used in the method are also investigated. |
| Databáze: | OpenAIRE |
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