Day-ahead wind-thermal unit commitment considering historical virtual wind power data

Jizhe Dong, Shunjie Han, Xiangxin Shao, Like Tang, Renhui Chen, Longfei Wu, Cunlong Zheng, Zonghao Li and Haolin Li

Energy, 2021, vol. 235, issue C

Abstract: 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.

Keywords: Historical wind speed data; Spinning reserve; Unit commitment; Virtual wind power transfer matrix (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:235:y:2021:i:c:s0360544221015723

DOI: 10.1016/j.energy.2021.121324

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