变流器型电源混合系统频率时空分布特性分析方法

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  • 1.  湖南大学 电气与信息工程学院,长沙 410082;2.  深圳供电局有限公司,广东 深圳 518000;3.  国网青海省电力公司电力科学研究院,西宁 810016
王澧森(2001—),硕士生,研究方向为电力系统频率稳定分析与控制。
文云峰,教授,博士生导师;E-mail:yunfeng.8681@163.com。

网络出版日期: 2026-04-03

基金资助

湖南省自然科学杰出青年基金项目(2024JJ2022),国家自然科学基金(52077066)

Analysis Method for Spatial-Temporal Frequency Dynamics Characteristics of Hybrid Power Systems with Converter-Interfaced Generation

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  • 1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518000, Guangdong, China; 3. State Grid Qinghai Electric Power Company Research Institute, Xining 810016, China

Online published: 2026-04-03

摘要

本文针对变流器接口型电源高渗透接入引发的系统频率时空分布特性开展研究,旨在精准表征变流器接入下频率的时空分布机制、量化节点频率异质性。首先,建立了融合网络间电磁功率与节点频率动态的多机多节点系统频率响应分析模型,通过嵌入跟网型和构网型变流器的功率-频率动态方程,实现异构节点频率动态耦合的精细化表征;其次,提出了包含频率最低点时空一致性系数、频率标准差动态加权熵、准稳态频率同步性系数的频率时空分布特性指标集,形成频率暂态安全裕度与时空分布特征的集成评估框架。最后,通过多场景算例仿真验证了所提模型和方法的有效性。

本文引用格式

王澧森1, 文云峰1, 郑文伟1, 李鸿鑫2, 傅国斌3, 王学斌3 . 变流器型电源混合系统频率时空分布特性分析方法[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2025.299

Abstract

This paper investigates the spatiotemporal frequency distribution characteristics induced by high-penetration converter-interfaced generation, with the aim of precisely characterizing the underlying dynamics and quantifying nodal frequency heterogeneity under massive converter integration. First, a multi-machine multi-node frequency response model is developed by integrating electromagnetic power interactions with nodal frequency dynamics. This model embeds power-frequency dynamic equations of both GFL(Grid-Following) and GFM(Grid-Forming) converters, enabling precise characterization of frequency coupling mechanisms across heterogeneous nodes. Second, a comprehensive spatiotemporal frequency index set is proposed, including the Spatiotemporal Consistency Coefficient of Frequency Nadir, the Dynamic Weighted Entropy of Frequency Standard Deviation and the Node Quasi-Steady-State Frequency Synchronization Coefficient. These indices collectively establish an integrated assessment framework for evaluating transient frequency security margins and spatiotemporal distribution patterns. Finally, the effectiveness of the proposed model and methodology is verified through multi-scenario case simulations.
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