电力系统保护与控制2023，Vol.51Issue(24)：44-52,9.DOI:10.19783/j.cnki.pspc.230722
基于离散信息模型的电力系统汇集点惯量在线监测方法
Online monitoring method of power system convergence point inertia based on discrete information modelling
摘要
Abstract
The traditional inertia monitoring method designed is based on a continuous physical model,converges slowly and it is difficult to accurately track the virtual inertia with time-varying characteristics.Considering the characteristics of discrete data output from modern power system measurement devices,an online monitoring method of inertia at power system convergence points based on a discrete information model is proposed.First,based on a mathematical model containing inertia constants in the continuous time system,an equivalent motor discrete transfer function in the Z domain is constructed.Second,based on the mathematical structure of the transfer function in the Z domain,a regression method is used to construct another equivalent motor discrete transfer function.Based on this,a method of calculating the equivalent inertia constants of the convergence point is proposed.Finally,the proposed method is validated using a simulation with the improved IEEE9-node system and it verifies the timeliness and accuracy of the proposed method.The results show that this online monitoring method of inertia based on the discrete information model can accurately measure the rotational and virtual inertia of the power convergence point under the full operational condition.关键词
低惯量系统/等效惯性常数/惯量监测/离散信息模型Key words
low-inertia system/equivalent inertia constant/inertia monitoring/discrete information model引用本文复制引用
陈杰,刘牧阳,邓小宇,叶华,陈俊儒..基于离散信息模型的电力系统汇集点惯量在线监测方法[J].电力系统保护与控制,2023,51(24):44-52,9.基金项目
This work is supported by the National Natural Science Foundation of China(No.52267009). 国家自然科学基金项目资助(52267009) （No.52267009）
中国博士后科学基金项目资助(2021M702749) （2021M702749）
