Fuzzy Adaptive Control Strategy for Frequency in Power Systems With Wind, Solar, Thermal and Storage

YU Tianhang; MIAO Shihong; WANG Tingtao; LI Xianwei; WANG Kun

doi:10.19725/j.cnki.1007-2322.2024.0016

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Fuzzy Adaptive Control Strategy for Frequency in Power Systems With Wind, Solar, Thermal and Storage

更新时间：2026-04-02

- Fuzzy Adaptive Control Strategy for Frequency in Power Systems With Wind, Solar, Thermal and Storage
- Vol. 43, Issue 2, Pages: 223-234(2026)
- 作者机构：
  
  1. 华中科技大学中欧清洁与可再生能源学院,湖北省,武汉市,430074
  2. 强电磁技术全国重点实验室(华中科技大学电气与电子工程学院),湖北省,武汉市,430074
  3. 许昌许继软件技术有限公司,河南省,许昌市,461001
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0016
  CLC： 2
- Published：2026
- 稿件说明：
移动端阅览
YU Tianhang, MIAO Shihong, WANG Tingtao, et al. Fuzzy Adaptive Control Strategy for Frequency in Power Systems With Wind, Solar, Thermal and Storage[J]. 2026, 43(2): 223-234.
DOI：

YU Tianhang, MIAO Shihong, WANG Tingtao, et al. Fuzzy Adaptive Control Strategy for Frequency in Power Systems With Wind, Solar, Thermal and Storage[J]. 2026, 43(2): 223-234. DOI： 10.19725/j.cnki.1007-2322.2024.0016.

摘要

针对含风光火储的电力系统频率稳定性问题，提出了一种基于模糊自适应控制方法的频率稳定控制策略。首先通过分析高比例新能源电力系统频率动态响应特性，建立了风光火储联合电力系统频率响应模型，揭示了新能源惯性参数和调频分配系数对系统频率稳定性的影响。接着，基于新能源调频分配系数和惯性参数，提出了风光火调度层和风光储机组层的参数自适应控制策略，并以此设计了调频分配系数模糊控制器(FISRES)和综合惯量模糊控制器(FISPID)。最后，在MATLAB/Simulink中建立了风光火储综合惯量频率响应模型，对所提模糊自适应控制策略对频率响应的改善作用进行验证。仿真结果表明，所提模糊自适应控制策略不仅能使新能源机组在调频初期提供高额有功支撑，还能显著提高不同工况下系统频率的响应速度和稳定性。

Abstract

To address the frequency stability issue of power systems containing wind

solar thermal and storage

a frequency stability control strategy is proposed based on a fuzzy adaptive control method. First

through an in-depth analysis on the frequency dynamic response characteristics of the high-proportion new energy system

a frequency response model of the wind

solar

thermal and storage combined power system is established. The impact of inertial parameters of the new energy and frequency modulation distribution coefficients on system frequency stability is elucidated. Subsequently

based on the frequency modulation distribution coefficient and inertia parameters

an adaptive control strategy is developed for parameters in both wind

solar and thermal dispatching and wind

solar and storage unit layers. Based on this

a fuzzy inference system of resource (FISRES) controller and a fuzzy inference system of PID (FISPID) controller are designed. Finally

a comprehensive inertia frequency response model for wind

solar and thermal storage is established in MATLAB/Simulink to verify the improvement effect of the proposed fuzzy adaptive control strategy on frequency response. The simulation results demonstrate that the proposed fuzzy adaptive control strategy can not only provide substantial active power support to new energy units during the early stage of frequency regulation

but also significantly enhance the response speed and stability of the system frequency in various operating conditions.

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Keywords

references

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