Wind power ramp detection algorithms based on slope point correction

Lan, Zhenyu, Dai, Jun, Hu, Xiang, Dai, Xuewu, Xing, Minghai and Chen, Liangyin (2022) Wind power ramp detection algorithms based on slope point correction. In: 2022 27th International Conference on Automation and Computing (ICAC): Bristol, United Kingdom, 1-3 September 2022. IEEE, Piscataway, NJ, pp. 609-614. ISBN 9781665498081, 9781665498074

Wind_power_ramp_detection_algorithms_based_on_slope_point_correction_1_.pdf - Accepted Version

Download (1MB) | Preview
Official URL:


Wind power ramp event refers to the large fluctuation of wind power in a short time interval, which will seriously affect the safe and stable operation of power grid system. In order to maintain the stable operation of power grid system, wind power ramp detection is extremely necessary. Therefore, how to improve the accuracy of wind power ramp detection is a problem worthy of study. In the existing wind power ramp detection algorithms, the accuracy of the ramp endpoint is not considered. Aiming at the problem of end-point accuracy in climbing section, this work proposes a wind power climbing detection algorithm RPCRD (ramp point correct climbing detection) based on ramp point correction, which considers the detection accuracy of wind power climbing point for the first time. In this algorithm, a merging method of climbing sections is proposed to solve the fracture problem, and a scoring mechanism for selecting climbing points is proposed to find the two extreme points that most conform to the climbing characteristics, and the climbing points at both ends of the climbing section of wind power are modified.

Item Type: Book Section
Additional Information: Funding information: This research was funded in part by the National Natural Science Foundation of China under Grant No.62072319, in part by Sichuan University and Luzhou Science and Technology Innovation Research and Development Project (No.2021CDLZ-11), in part by the Sichuan Science and Technology Program under Grant No.2022YF0041.
Subjects: H200 Civil Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 16 Dec 2022 14:05
Last Modified: 16 Dec 2022 14:15

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics