EN含风光火储的电力系统频率模糊自适应控制策略
Fuzzy Adaptive Control Strategy for Frequency in Power Systems With Wind, Solar, Thermal and Storage
- 现代电力 2026年43卷第2期 页码：223-234
- 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：
[ "虞天航(2000)，男，硕士研究生，研究方向为新能源电力系统的建模与控制，E-mail：tianhang_yu@foxmail.com" ]
[ "苗世洪(1963)，男，通信作者，博士，教授，博士生导师，研究方向为电力系统保护与控制、压缩空气储能、配电网与微电网新技术等，E-mail：shmiao@hust.edu.cn" ]
[ "王廷涛(1997)，男，博士研究生，研究方向为电力系统优化运行，E-mail：hustwtt@hust.edu.cn" ]
[ "李献伟(1982)，男，博士研究生，教授级高级工程师，研究方向为分布式电源接入、微电网稳定控制运行、储能应用等，E-mail：xianweil@139.com" ]
[ "王坤(1989)，男，博士，高级工程师，研究方向为新能源接入以及新型电力系统运行控制，E-mail：xujiwk@126.com" ]
- 基金信息：中国电气装备集团有限公司科技项目(CEE-2022-B-01-03-001-XJ)。
DOI：10.19725/j.cnki.1007-2322.2024.0016
中图分类号： 2-
纸质出版：2026
- 稿件说明：
移动端阅览
虞天航, 苗世洪, 王廷涛, 等. 含风光火储的电力系统频率模糊自适应控制策略[J]. 现代电力, 2026,43(2):223-234.
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.
虞天航, 苗世洪, 王廷涛, 等. 含风光火储的电力系统频率模糊自适应控制策略[J]. 现代电力, 2026,43(2):223-234. DOI： 10.19725/j.cnki.1007-2322.2024.0016.
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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references
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