RAINDROP EROSION ALGORITHM FOR WIND POWER DATA CLEANING AND SURPLUS ELECTRICITY FOR HYDROGEN PRODUCTION ANALYSIS

Guo Zhiyong; Han Qiaoli; Wei Fangzheng

doi:10.19912/j.0254-0096.tynxb.2024-2056

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 430-438. DOI: 10.19912/j.0254-0096.tynxb.2024-2056

RAINDROP EROSION ALGORITHM FOR WIND POWER DATA CLEANING AND SURPLUS ELECTRICITY FOR HYDROGEN PRODUCTION ANALYSIS

Guo Zhiyong¹, Han Qiaoli², Wei Fangzheng¹

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Abstract

Addressing the inefficiency of existing wind power data cleaning algorithms, a data cleaning method based on the raindrop erosion algorithm is proposed. This algorithm effectively removes outliers from wind power data by simulating the impact and erosion of raindrops on terrain. Experimental results indicate that the correlation coefficient between wind speed and power using the raindrop erosion algorithm reaches 0.977, demonstrating significant effectiveness in reducing data dispersion with a runtime of 2.1 seconds. Additionally, after cleaning the data using the raindrop erosion algorithm, the optimal wind power curve for a single wind turbine is fitted using a support vector regression （SVR） model with Bayesian optimization, from which the scheduled surplus electricity is calculated. Subsequently, simulation models of proton exchange membrane （PEM） electrolyzers and alkaline water （ALK） electrolyzers are used for comparative analysis of electricity consumption for hydrogen production utilizing surplus electricity. Simulation results show that the electricity consumption is 39.4 kW·h/kg for the PEM electrolyzer and 53.9 kW·h/kg for the ALK electrolyzer, suggesting that the PEM electrolyzer is more suitable for hydrogen production from surplus electricity.

Key words

wind power data cleaning / wind power curve / water electrolysis for hydrogen production / raindrop erosion algorithm / electrolyzer

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Guo Zhiyong, Han Qiaoli, Wei Fangzheng. RAINDROP EROSION ALGORITHM FOR WIND POWER DATA CLEANING AND SURPLUS ELECTRICITY FOR HYDROGEN PRODUCTION ANALYSIS[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 430-438 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2056

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