引用本文:张波,张成健,张经,王磊,李铁成.基于系统辨识的新能源电力系统惯性常数快速追踪方法[J].电力自动化设备,2025,45(3):
ZHANG Bo,ZHANG Chengjian,ZHANG Jing,WANG Lei,LI Tiecheng.Fast tracking method of inertia constant of new energy power system based on system identification[J].Electric Power Automation Equipment,2025,45(3):
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基于系统辨识的新能源电力系统惯性常数快速追踪方法
张波1, 张成健1, 张经2, 王磊3, 李铁成3
1.华北电力大学 河北省分布式储能与微网重点实验室,河北 保定 071003;2.江西电力职业技术学院 电力工程系,江西 南昌 330032;3.国网河北省电力有限公司电力科学研究院,河北 石家庄 050021
摘要:
针对新能源电力系统惯性量化评估问题,研究基于系统辨识的系统惯性常数追踪方法,将该方法划分为非递推算法和递推算法2类,从辨识原理角度剖析二者在计算存储与辨识速度等方面的区别与内在联系,并利用IEEE典型系统进行实验算例对比验证分析。理论分析和实验结果表明,递推算法辨识精度高、辨识结果稳定、辨识速度快,适用于节点数量庞大、结构复杂的辨识对象,有利于实现新能源电力系统惯性常数的实时监测与快速感知。
关键词:  新能源  电力系统  惯性常数  系统辨识  量化评估  非递推算法  递推算法
DOI:10.16081/j.epae.202409008
分类号:TM712
基金项目:河北省自然科学基金资助项目(E2022502059)
Fast tracking method of inertia constant of new energy power system based on system identification
ZHANG Bo1, ZHANG Chengjian1, ZHANG Jing2, WANG Lei3, LI Tiecheng3
1.Hebei Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China;2.Department of Electrical Engineering, Jiangxi Electric Power Vocational and Technical College, Nanchang 330032, China;3.State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Abstract:
Aiming at the problem of quantitative inertia evaluation of new energy power system, the system inertia constant tracking method based on system identification is studied. The method is divided into two categories: non-recursive algorithm and recursive algorithm, to analyze the difference and internal relationship of calculation storage and identification speed from the identification principle perspective, and IEEE typical system is used to compare and verify the experimental examples. Theoretical analysis and experimental results show that the recursive algorithm has high identification accuracy, stable identification results and fast identification speed. It is suitable for the identification objects with large number of nodes and complex structure, which is conducive to the real-time monitoring and fast perception of the new energy power system inertia constant.
Key words:  new energy  electric power systems  inertia constant  system identification  quantitative evaluation  non-recursive algorithm  recursive algorithm

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