WIND POWER RAMP EVENT DETECTION METHOD BASED ON IBSO-SDT

Yu Yang; Chen Dongyang; Wang Boxiao; Li Jiali; Wu Yuwei; Yu Zongzhe

doi:10.19912/j.0254-0096.tynxb.2022-0740

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (9) : 348-355. DOI: 10.19912/j.0254-0096.tynxb.2022-0740

WIND POWER RAMP EVENT DETECTION METHOD BASED ON IBSO-SDT

Yu Yang^1,2, Chen Dongyang^1,2, Wang Boxiao^1,2, Li Jiali^1,2, Wu Yuwei^1,2, Yu Zongzhe^1,2

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Abstract

To improve the detection effect of wind power ramp event, a wind power ramp event detection method based on swing door trending optimized by improved beetle swarm optimization algorithm is proposed for wind farm with battery storage. Firstly, the beetle swarm optimization algorithm is improved and used to search the optimal door value of swing door trending. The wind power feature data points are extracted through the swing door trending with optimal door value. Then, the feature data points are processed to eliminate the‘bump’phenomenon. Two adjacent data points is connected to form a wind power feature period. The wind power feature periods are classified and coded in combination with the ramp direction. They are also combined according to the coding results. Next, the ramp definition of wind farm with battery storage is introduced and the ramp detection is performed based on the combined wind power feature periods. Finally, the actual wind power output of a wind farm is used to simulate the proposed detection method. The effectiveness of the proposed detection method is verified in comparison with the various ramp event detection algorithms.

Key words

wind farm / battery storage / heuristic algorithms / swing door trending algorithm / ramp event detection

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Yu Yang, Chen Dongyang, Wang Boxiao, Li Jiali, Wu Yuwei, Yu Zongzhe. WIND POWER RAMP EVENT DETECTION METHOD BASED ON IBSO-SDT[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 348-355 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0740

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