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控制与算法 虚拟同步机VSG ★ 5.0

基于精确小信号建模的电网阻抗自适应VSG控制

Grid Impedance Adaptive VSG Control Based on Accurate Small-Signal Modelling

作者 Minyang Wang · Yuxin Yang · Yuchen Zhang · Mir Nahidual Ambia · Al-Durra Ahmed · Daming Zhang
期刊 IEEE Transactions on Industry Applications
出版日期 2025年3月
技术分类 控制与算法
技术标签 虚拟同步机VSG
相关度评分 ★★★★★ 5.0 / 5.0
关键词 可再生能源 虚拟同步发电机 电网稳定性 小信号模型 自适应控制
语言:

中文摘要

可再生能源的广泛整合增加了基于逆变器的发电,削弱了电网强度和惯性,给电力系统稳定性带来了挑战。为解决这些问题,虚拟同步发电机(VSG)控制作为一种现代电网形成(GFM)技术应运而生,它能够自主提供有功和无功功率,以支撑电网频率和电压。然而,当VSG逆变器在强电网条件下运行时,在固定参数设置下可能会出现功率振荡,使电网难以达到稳定状态。在这种情况下,基于频率变化率(RoCoF)的传统稳定性分析是不够的,需要基于系统阻抗变化的先进分析方法并进一步改进。本文提出了一种精确的VSG逆变器小信号模型以及一种电网阻抗的辨识方法。此外,基于小信号模型和系统阻抗知识,提出了一种适应电网阻抗的改进型VSG控制方法。所有提出的方法均在单机无穷大母线(SMIB)系统上进行了测试,稳定性结果证明了它们在弱电网和强电网场景下的有效性。

English Abstract

The wide-spread integration of renewable energy has increased inverter-based generation, weakening grid strength and inertia, bringing challenges to power system stability. To address these issues, virtual synchronous generator (VSG) control has emerged as a modern grid-forming (GFM) technology that can autonomously provide active and reactive power to support grid frequency and voltage. However, when a VSG inverter operates under strong grid conditions, power oscillations may occur under a fixed parameter setting, making the grid difficult to reach a steady state. Under such circumstances, traditional stability analysis based on the rate of change of frequency (RoCoF) is insufficient, advanced analysis methods based on the changes in system impedance and further improvements are required. This paper proposed an accurate small-signal model of the VSG inverter along with an impedance identification method for grid impedance. Additionally, an improved VSG control adaptive to grid impedance is proposed based on the knowledge of small-signal model and system impedance. All proposed methods have been tested on a single-machine-infinite-bus (SMIB) system and the stability results demonstrate their effectiveness under both weak and strong grid scenarios.
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SunView 深度解读

该电网阻抗自适应VSG控制技术对阳光电源ST系列储能变流器和PowerTitan大型储能系统具有重要应用价值。通过精确小信号建模实时识别电网阻抗变化,可显著提升弱电网环境下储能系统的构网型GFM控制性能。该自适应调节机制能够动态优化虚拟惯性和阻尼参数,增强系统在电网阻抗波动时的稳定裕度,特别适用于高比例新能源接入场景。建议将该建模方法集成到阳光电源iSolarCloud云平台的智能诊断模块,实现储能变流器参数的在线自适应调整,提升产品在复杂电网条件下的鲁棒性和并网适应性,为大规模储能电站提供更可靠的电网支撑能力。