电力系统自动化2024，Vol.48Issue(8)：67-78,12.DOI:10.7500/AEPS20230929002
考虑电压动态的电力系统频率强度量化方法
Quantification Method for Power System Frequency Strength Considering Voltage Dynamics
摘要
Abstract
The current quantification methods of power system frequency strength usually assume that the voltage magnitude at each node is constant.However,during the process of frequency disturbance,the voltage at each node is not constant and may affect the system frequency through various pathways such as influencing loads.Therefore,the assumption of constant voltage may lead to the conclusion with the inaccurate quantification results,or even erroneous conclusions.Therefore,a quantification method of power system frequency strength considering voltage dynamics is proposed.First,a frequency response model for the system that considers voltage dynamics is established,in which the influence of voltage dynamics on the system frequency is characterized by a global coupling term,revealing the interaction paths between voltage and frequency.Based on this,the specific effects of various devices and loads that consider voltage dynamics on the system frequency are analyzed,including the grid-forming converters employing hybrid synchronization control,grid-following converters with additional frequency or voltage outer loops,and constant impedance-constant current-constant power(ZIP)static loads and asynchronous motor loads with distinctive voltage characteristics.Next,by partitioning and decoupling the voltage coupling term and performing unified and simplified modeling,the frequency support capability of each zone in the system as well as the overall frequency strength is quantitatively analyzed.Finally,the effectiveness of the proposed method for quantifying frequency strength is validated through simulations.关键词
频率强度/量化方法/共模频率/电压-频率动态耦合/统一结构模型/频率稳定Key words
frequency strength/quantification method/common-mode frequency/voltage-frequency dynamic coupling/unified structure model/frequency stability引用本文复制引用
胡光,高晖胜,辛焕海,谭枫,陈可欣..考虑电压动态的电力系统频率强度量化方法[J].电力系统自动化,2024,48(8):67-78,12.基金项目
浙江省自然科学基金资助项目(LY24E070003) （LY24E070003）
中国博士后科学基金资助项目(2023M733030). This work is supported by Zhejiang Provincial Natural Science Foundation of China(No.LY24E070003)and China Postdoctoral Science Foundation(No.2023M733030). （2023M733030）
