HIERARCHICAL ACTIVE POWER DISTRIBUTION STRATEGY OF WIND FARMS BASED ON WIND TURBINES CLUSTERING

Zhao Jingying; Men Xiaowei; Yao Shuailiang

doi:10.19912/j.0254-0096.tynxb.2022-1397

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 306-315. DOI: 10.19912/j.0254-0096.tynxb.2022-1397

HIERARCHICAL ACTIVE POWER DISTRIBUTION STRATEGY OF WIND FARMS BASED ON WIND TURBINES CLUSTERING

Zhao Jingying^1,2, Men Xiaowei^1,2, Yao Shuailiang³

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Abstract

In view of the problems caused by the traditional average active power distribution strategy of wind farms, such as large differences in wind turbine operation damage, multiple adjustment and start-stop times, etc., a hierarchical active power reduction distribution strategy based on wind turbine clustering is proposed in this paper. Considering the control ability of the actual wind turbines, a power prediction model of improved extreme learning machine （ELM） based on whale optimization algorithm （WOA） is designed. A three-dimensional characteristic matrix of the actual wind speed, actual generated power and predicted power of wind turbines is constructed, and an improved fuzzy C-means （FCM） clustering model based on simulated annealing genetic algorithm （SAGA） is proposed. The scheduling priority sequences of clusters and turbines are determined by the predicted power average value, standard deviation and maximum power reduction value, and a two-layer distribution strategy of “cluster-turbine” is constructed. The adjustment number of operating and shutdown turbines is reduced, and the degeneration balance among wind turbines is improved. Combined with the actual operation conditions of a wind farm, the verification scheme of the distribution strategy of non-stop and shutdown in the limited power mode is designed. The distribution effects of three different strategies are compared and analyzed. The results of the calculation example verify the effectiveness of the proposed distribution strategy.

Key words

wind turbines / wind farm / clustering algorithms / forecasting / power control / hierarchical distribution strategy

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Zhao Jingying, Men Xiaowei, Yao Shuailiang. HIERARCHICAL ACTIVE POWER DISTRIBUTION STRATEGY OF WIND FARMS BASED ON WIND TURBINES CLUSTERING[J]. Acta Energiae Solaris Sinica. 2023, 44(12): 306-315 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1397

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