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

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Abstract

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.

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