飞轮储能参与风电平滑的自适应滤波算法及无传感器控制

郑顺河, 孟克其劳, 张建功, 梁开彪

太阳能学报 ›› 2024, Vol. 45 ›› Issue (4) : 347-355.

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (4) : 347-355. DOI: 10.19912/j.0254-0096.tynxb.2022-1940

飞轮储能参与风电平滑的自适应滤波算法及无传感器控制

  • 郑顺河1, 孟克其劳1~3, 张建功4, 梁开彪4
作者信息 +

ADAPTIVE FILTERING ALGORITHM AND SENSORLESS CONTROL FOR WIND POWER SMOOTHING WITH FLYWHEEL ENERGY STORAGE PARTICIPATION

  • Zheng Shunhe1, Meng Keqilao1~3, Zhang Jiangong4, Liang Kaibiao4
Author information +
文章历史 +

摘要

通过对风电系统和飞轮储能系统运行特性的分析,针对飞轮转子设计难以安装位置传感器的特殊性问题,提出一种基于自适应非奇异快速终端滑模观测器的飞轮储能无传感器控制策略,提高转子位置角估计精度。此外,针对飞轮储能系统参考功率指令滞后的问题,在无传感器控制基础上,引入自适应滤波算法作为飞轮储能控制系统的功率给定,以减小功率指令滞后现象。在Typhoon HIL 602+仿真平台进行实验验证,结果表明:飞轮储能系统运行性能良好,观测器具有优越的估计性能,能满足飞轮快速充放电并有效平滑风电功率波动的控制需求,同时提高储能利用率。

Abstract

Through the analysis of the operational characteristics of the wind power system and the flywheel energy storage system, a sensorless control strategy based on adaptive nonsingular fast terminal sliding mode observer is proposed to address the specific problem of difficult installation of position sensors for the flywheel rotor. This strategy improves the accuracy of rotor position estimation. Furthermore, to tackle the issue of lagging reference power commands in the flywheel energy storage system, an adaptive filtering algorithm is introduced as the power reference for the flywheel energy control system, building upon the sensorless control approach, in order to reduce the lagging phenomenon of power commands. Experimental verification is conducted using the Typhoon HIL 602+ simulation platform, and the results demonstrate that the flywheel energy storage system exhibits good operational performance, the observer possesses superior estimation capability, and it can meet the control requirements of rapid charge and discharge of the flywheel while effectively smoothing wind power fluctuations, thereby enhancing energy storage utilization.

关键词

风力发电 / 无位置传感器控制 / 自适应算法 / 飞轮储能 / 平滑算法

Key words

wind power / sensorless control / adaptive algorithms / flywheel energy storage / smoothing algorithm

引用本文

导出引用
郑顺河, 孟克其劳, 张建功, 梁开彪. 飞轮储能参与风电平滑的自适应滤波算法及无传感器控制[J]. 太阳能学报. 2024, 45(4): 347-355 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1940
Zheng Shunhe, Meng Keqilao, Zhang Jiangong, Liang Kaibiao. ADAPTIVE FILTERING ALGORITHM AND SENSORLESS CONTROL FOR WIND POWER SMOOTHING WITH FLYWHEEL ENERGY STORAGE PARTICIPATION[J]. Acta Energiae Solaris Sinica. 2024, 45(4): 347-355 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1940
中图分类号: TM614    TM313   

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基金

内蒙古自治区科技重大专项(2020ZD0016)

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