永磁同步风电场中多元调频资源协同预测控制策略

张智豪; 寇鹏; 梅铭洋; 张远航; 田润泽; 梁得亮

doi:10.7652/xjtuxb202510003

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永磁同步风电场中多元调频资源协同预测控制策略

更新时间：2025-09-28

- 永磁同步风电场中多元调频资源协同预测控制策略
- Coordinated Predictive Control Strategy for Multiple Frequency Regulation Resources in Permanent Magnet Synchronous Wind Farm
- 西安交通大学学报 2025年59卷第10期页码：32-43
- 作者机构：
- 作者简介：
  
  作者简介：张智豪（1999—），男，博士生；
  寇鹏（通信作者），男，教授，博士生导师。
- 基金信息：
  
  国家自然科学基金资助项目。(52077165)
- DOI：10.7652/xjtuxb202510003
  中图分类号： TM341
- 收稿：2025-04-06，
  
  纸质出版：2025-10-10
- 稿件说明：
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张智豪, 寇鹏, 梅铭洋, 等. 永磁同步风电场中多元调频资源协同预测控制策略[J]. 西安交通大学学报, 2025,59(10):32-43.

ZHANG Zhihao, KOU Peng, MEI Mingyang, et al. Coordinated Predictive Control Strategy for Multiple Frequency Regulation Resources in Permanent Magnet Synchronous Wind Farm[J]. Journal of Xi'an Jiaotong University, 2025, 59(10): 32-43.
张智豪, 寇鹏, 梅铭洋, 等. 永磁同步风电场中多元调频资源协同预测控制策略[J]. 西安交通大学学报, 2025,59(10):32-43. DOI： 10.7652/xjtuxb202510003.

ZHANG Zhihao, KOU Peng, MEI Mingyang, et al. Coordinated Predictive Control Strategy for Multiple Frequency Regulation Resources in Permanent Magnet Synchronous Wind Farm[J]. Journal of Xi'an Jiaotong University, 2025, 59(10): 32-43. DOI： 10.7652/xjtuxb202510003.

摘要

针对传统方法难以协调永磁同步风电场中多元调频资源，以及调频过程中风电场无功功率波动过大等问题，提出了一种基于模型预测控制（MPC）的协同预测控制策略。首先，基于永磁同步风电场中底层控制器结构框图，构建多元调频资源的动态模型，阐明其参与主网频率调节的机制；然后，结合电力系统摆动方程，构建电网频率响应模型，准确预测有功扰动期间系统的频率动态；最后，以抑制主网频率变化为优化目标，综合考虑各类型调频资源的安全物理约束，实现多元调频资源的协同控制。采用两区域系统进行验证，结果表明：与传统下垂控制方法相比，所提协同预测控制策略使得主网频率最低点提升了0.06Hz，使得风电场无功功率降低了2.4Mvar，验证了所提方法在提升主网频率稳定性方面的优越性。该研究可为新能源场站中多元调频资源综合利用提供理论参考。

Abstract

To address the challenges of coordinating multiple frequency regulation resources in permanent magnet synchronous（PMS）wind farms and mitigating excessive reactive power fluctuations during frequency regulation，a model predictive control（MPC）-based coordinated predictive control strategy is proposed.First，based on the structural block diagram of the underlying controller in PMS wind farms，a dynamic model of multiple frequency regulation resources is established，elucidating their mechanism for participating in main grid frequency regulation.Then，combined with the power system swing equation，a grid frequency response model is constructed to accurately predict the system's frequency dynamics during active power disturbances.Finally，with the optimization objective of suppressing main grid frequency deviations，the coordinated control of multiple frequency regulation resources is achieved while comprehensively considering the physical safety constraints of each type of regulation resource.Validation using a two-area system demonstrates that，compared to traditional droop control methods，the proposed coordinated predictive control strategy increases the lowest frequency point of the main grid by 0.06Hz and reduces the wind farm's reactive power by 2.4Mvar，confirming its superiority in enhancing main grid frequency stability.This study provides theoretical insights for the comprehensive utilization of multiple frequency regulation resources in renewable energy power stations.

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references

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