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For the energy storage system to participate in the smooth control of wind power, an adaptive second-order filtering control strategy for the combined wind storage system is proposed. First of all, in order to solve the sequential phase problem of the traditional first-order low-pass filter in calming wind power fluctuations, a simplified calming model based on the second-order filter is constructed, and the discrete mathematical model of the second-order low-pass filter is derived by bilinear transformation method to realize real-time control of the filter constant. On this basis, an adaptive control method of the filter constant based on grid-connected constraints is further proposed. Both wind power smoothing and power tracking reduce energy storage output. Simulation results show that the wind power tracking effect of the proposed strategy is improved by 45.9%, the energy storage output is reduced by 40.4%, and it meets the given grid connection standards.

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Adaptive Second-Order Filtering Smoothing Control Strategy Based on Combined Wind and Storage System

  • 会议论文

  • 发表日期：

    2025年

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  • Chao Xing,
  • Jiajie Xiao,
  • Peiqiang Li,
  • Xinze Xi,
  • Yunhe Chen,
  • Qi Guo,
  • Can Deng,
  • Xin He

摘要

For the energy storage system to participate in the smooth control of wind power, an adaptive second-order filtering control strategy for the combined wind storage system is proposed. First of all, in order to solve the sequential phase problem of the traditional first-order low-pass filter in calming wind power fluctuations, a simplified calming model based on the second-order filter is constructed, and the discrete mathematical model of the second-order low-pass filter is derived by bilinear transformation method to realize real-time control of the filter constant. On this basis, an adaptive control method of the filter constant based on grid-connected constraints is further proposed. Both wind power smoothing and power tracking reduce energy storage output. Simulation results show that the wind power tracking effect of the proposed strategy is improved by 45.9%, the energy storage output is reduced by 40.4%, and it meets the given grid connection standards.