An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms

Jia, Yongyong; Ren, Bixing; Li, Qiang; Wang, Chenggen; Wang, Dajiang; Zou, Xiaoming

doi:10.3390/electronics12214443

Open AccessArticle

An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms

by

Yongyong Jia

,

Bixing Ren

^*,

Qiang Li

,

Chenggen Wang

,

Dajiang Wang

and

Xiaoming Zou

State Grid Jiangsu Electric Power Company Ltd., Research Institute, Nanjing 211103, China

^*

Author to whom correspondence should be addressed.

Electronics 2023, 12(21), 4443; https://doi.org/10.3390/electronics12214443

Submission received: 19 September 2023 / Revised: 23 October 2023 / Accepted: 25 October 2023 / Published: 29 October 2023

(This article belongs to the Special Issue The Hybrid AC-DC Power System Coordinated Control and Operation Technology)

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Abstract

Global warming-induced extreme tropical storms disrupt the operation of offshore wind farms, causing wind power ramp events and threatening the safety of the interconnected onshore grid. In order to attenuate the impact of these ramps, this paper proposes an integrated strategy for forecasting and controlling ramps in offshore wind farms. First, the characteristics of wind power ramps during tropical storms are studied, and a general ramp control framework is established. Second, a wind power ramp prediction scheme is designed based on a minimal gated memory network (MGMN). Third, by taking into account the wind power ramp prediction results and wind power uncertainties, a chance-constraint programming-based optimal ramp control scheme is developed to simultaneously maximize wind power absorption and minimize ramp control costs. Finally, we use real-world offshore wind farm data to validate the effectiveness of the proposed strategy.

Keywords: offshore wind farm; coordinated wind power ramp control; wind power uncertainty; wind power absorption

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MDPI and ACS Style

Jia, Y.; Ren, B.; Li, Q.; Wang, C.; Wang, D.; Zou, X. An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms. Electronics 2023, 12, 4443. https://doi.org/10.3390/electronics12214443

AMA Style

Jia Y, Ren B, Li Q, Wang C, Wang D, Zou X. An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms. Electronics. 2023; 12(21):4443. https://doi.org/10.3390/electronics12214443

Chicago/Turabian Style

Jia, Yongyong, Bixing Ren, Qiang Li, Chenggen Wang, Dajiang Wang, and Xiaoming Zou. 2023. "An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms" Electronics 12, no. 21: 4443. https://doi.org/10.3390/electronics12214443

APA Style

Jia, Y., Ren, B., Li, Q., Wang, C., Wang, D., & Zou, X. (2023). An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms. Electronics, 12(21), 4443. https://doi.org/10.3390/electronics12214443

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An Integrated Scheme for Forecasting and Controlling Ramps in Offshore Wind Farms Considering Wind Power Uncertainties during Extreme Storms

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