新型电力系统背景下基于自适应参数估计电力系统惯量快速估计方法
A Fast Estimation Method of Power System Inertia Based on Adaptive Parameter Estimation Under The Background of New Power System
王浩祥 1秦小宇1
作者信息
摘要
随着"双碳"相关政策在我国的大力推行,新能源渗透率的提高造成了电力系统惯量降低,进而影响了电力系统的稳定性.基于自适应参数估计对高比例新能源系统的惯量进行估计,结合电力系统频率响应模型,构建了描述电力系统动态响应的回归方程.提出了一种基于预定义时间动态回归扩展和混合估计器的参数估计算法,实现对高比例新能源的惯量估计.在改进的某 14 机 59 节点中进行了仿真分析,结果表明,所提惯量估计算法能够较好地估计电力系统的惯性常数,并有效提升了电力系统频率的稳定性.
Abstract
With vigorous implementation of the"Dual-carbon"related policies in China,the increase of renewable energy penetration rate has caused the inertia of the power system to decrease,which in turn affects the stability of the power system.This paper estimates the inertia of high-proportion new energy systems based on adaptive parameter estimation.By combining the power system frequency response model,a regression equation describing the dynamic response of the power system is constructed.Based on this,an algorithm based on predefined time dynamic regression extension and hybrid estimator is proposed for parameter estimation,achieving the estimation of the inertia of high-proportion new energy.A simulation analysis is conducted in the improved Australian 14-machine 59-node system,and the results show that the proposed inertia estimation algorithm can accurately estimate the inertia constant of the power system and effectively improve the frequency stability of the power system.
关键词
新能源/电力系统/惯量估计/自适应参数估计Key words
renewable energy/power system/inertia estimation/adaptive parameter estimation引用本文复制引用
基金项目
国家重点研发计划(2019YFB1505400)
出版年
2024
NETL
NSTL
维普
万方数据