电源学报

基于自适应参数调节与模型预测控制结合的VSG调频策略

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张世栋中国电源学会学生会员 , 李培强

电源学报 | 新能源发电与储能 2026,24(9): 108-120

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电源学报 |新能源发电与储能 2026 , 24 (9) : 108 -120

基于自适应参数调节与模型预测控制结合的VSG调频策略

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李培强（1975—　），男，博士，教授。研究方向：电力系统运行分析与控制，智能电网与分布式发电，负荷建模。E-mail：lpqcs@hnu.edu.cn。

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张世栋中国电源学会学生会员, 李培强

作者信息

福建理工大学电子电气与物理学院，福州　350118

通讯作者:

张世栋（1998—　），男，中国电源学会学生会员，通信作者，硕士。研究方向：新能源并网发电控制。E-mail：1422329490@qq.com。

作者简介:

李培强（1975—　），男，博士，教授。研究方向：电力系统运行分析与控制，智能电网与分布式发电，负荷建模。E-mail：lpqcs@hnu.edu.cn。

VSG Frequency Modulation Strategy Based on Adaptive Parameter Adjustment and Model Predictive Control

Shidong ZHANG Student Member, CPSS, Peiqiang LI

Affiliations

College of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, China

出版时间: 2026-09-30 doi: 10.13234/j.issn.2095-2805.2026.9.108

文章导航

摘要

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虚拟同步发电机VSG（virtual synchronous generator）通过模拟传统发电机的惯量特性，已成为解决新能源并网频率波动问题的有效手段。然而，在传统VSG方法中，转动惯量和阻尼系数通常固定，可能导致负载变化时出现频率偏差。为此，提出一种结合自适应参数调节与模型预测控制MPC（model predictive control）的方法，旨在优化VSG的频率性能。通过分析VSG的小信号模型，提出了一种自适应调节策略以抑制频率波动。同时，采用MPC控制器对VSG的输入功率进行动态调整，以增强发电单元对功率需求变化的响应。仿真结果表明，所提方法有效提升了系统频率稳定性。

关键词

虚拟同步发电机 / 自适应参数调节 / 模型预测控制 / 系统频率特性

Abstract

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Virtual synchronous generator (VSG) has become an effective means to solve the problem of grid-connected frequency fluctuation of new energy by simulating the inertia characteristics of traditional generators. However, in the traditional VSG method, the moment of inertia and damping coefficient are usually fixed, which may lead to frequency deviation when the load changes. Therefore, a method combining adaptive parameter adjustment and model predictive control (MPC) is proposed to optimize the frequency performance of VSG. By analyzing the small-signal model of VSG, an adaptive adjustment strategy is proposed to suppress frequency fluctuation. At the same time, MPC is used to dynamically adjust the input power of VSG to enhance the response of power generation units to the change of power demand. Simulation results show that the proposed method effectively improves the frequency stability of the system.

Key words

Virtual synchronous generator / adaptive parameter adjustment / model predictive control / system frequency characteristics

引用本文

张世栋中国电源学会学生会员, 李培强. 基于自适应参数调节与模型预测控制结合的VSG调频策略. 电源学报, 2026 , 24 (9) : 108 -120 . DOI: 10.13234/j.issn.2095-2805.2026.9.108

Shidong ZHANG, Peiqiang LI. VSG Frequency Modulation Strategy Based on Adaptive Parameter Adjustment and Model Predictive Control[J]. Journal of Power Supply, 2026 , 24 (9) : 108 -120 . DOI: 10.13234/j.issn.2095-2805.2026.9.108

基金

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国家重点基础研究发展计划资助项目（973计划）(2021YFB2601504)
国家自然科学基金资助项目(52377097)

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2026年第24卷第9期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.9.108

接收时间：2024-12-17
首发时间：2026-10-29
出版时间：2026-09-30

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出版历史

收稿日期：2024-12-17
修回日期：2025-03-17
录用日期：2025-04-06

基金

National Basic Research Program (973 Program)(2021YFB2601504)

国家重点基础研究发展计划资助项目（973计划）(2021YFB2601504)

National Natural Science Foundation of China(52377097)

国家自然科学基金资助项目(52377097)

作者信息

福建理工大学电子电气与物理学院，福州　350118

通讯作者:

张世栋（1998—　），男，中国电源学会学生会员，通信作者，硕士。研究方向：新能源并网发电控制。E-mail：1422329490@qq.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.9.108

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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