[1]岳聚欣,杨冬梅,李先允,等.基于量测数据的含风电电力系统等效惯量估计[J].机械与电子,2025,(06):9-16.
　YUE Juxin,YANG Dongmei,LI Xianyun,et al.Equivalent Inertia Estimation of Wind Power Systems Based on Measurement Data[J].Machinery & Electronics,2025,(06):9-16.
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基于量测数据的含风电电力系统等效惯量估计()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2025年06期
页码:
9-16
栏目:
研究与设计
出版日期:
2025-06-27

文章信息/Info

Title:
Equivalent Inertia Estimation of Wind Power Systems Based on Measurement Data
文章编号:
1001-2257 ( 2025 ) 06-0009-08
作者:
岳聚欣 1 ; 杨冬梅 2 ; 李先允 1 ; 陈睿宇 1 ; 孙 畅 1 ; 赵锡民 1
1. 南京工程学院电力工程学院、沈国荣学院,江苏 南京 211167 ;
2. 南瑞集团(国网电力科学研究院)有限公司,江苏 南京 211106
Author(s):
YUE Juxin1 ;  YANG Dongmei2 ;  LI Xianyun1 ;  CHEN Ruiyu1 ;  SUN Chang1 ;  ZHAO Ximin1
( 1.School of Electric Power Engineering , School of Shenguorong , Nanjing Institute of Technology , Nanjing 211167 , China ;
2.Nanrui Group ( State Grid Electric Power Research Institute ) Co. , Ltd. , Nanjing 211106 , China )
关键词:
风电; 电力系统; 等效惯量; 量测数据; 参数辨识
Keywords:
wind power ;  power system ;  equivalent inertia ;  measurement data ;  parameter identification
分类号:
TM732 ;TP18
文献标志码:
A
摘要:
为了有效评估风电接入后的电力系统惯量特性,定量把握风电场对电力系统的惯量贡献,提出一种通过量测风电场和 PCC 点有功功率和频率数据估计含风电电力系统等效惯量的方法。首先,推导了含风电惯量响应的电力系统等效惯量理论表达式;其次,以发电机为研究对象,建立不同扰动情况下机组惯量动态响应机理的统一解析表征模型;然后,通过有源自回归模型和基于改进粒子群优化卡尔曼滤波算法,估计在不同运行工况下同步机、风电场及系统的等效惯量;最后,在 IEEE 10 机 39 节点系统仿真验证所提方法的精确性和有效性。仿真结果表明,所提方法有效量化评估了风电机组等效虚拟惯量对系统等效惯量造成的影响。
Abstract:
In order to evaluate the inertia characteristics of the power system after the wind power is connected , the inertia contribution of the wind farm to the power system is quantified.This paper presents a method to estimate the equivalent inertia of power systems containing wind power by measuring the active power and frequency data at the point of common coupling ( PCC ) of wind farms and synchronous units.Firstly , the theoretical expression of equivalent inertia of power system with inertia response of wind power is derived ; secondly , the unified analytical and characterization model of the dynamic response mechanism of the inertia of the generator under different disturbance conditions is established by taking the generator as the research object ; then , the equivalent inertia of synchronous generator , wind farm and system under different operating conditions is estimated by using regression model and improved particle swarm optimization Kalman filter algorithm ; finally , the accuracy and effectiveness of the proposed method is verified in IEEE-10 machine 39-node system simulation.Simulation results show that the proposed method effectively quantifies the effects of the wind turbine equivalent virtual inertia on the system equivalent inertia.

参考文献/References:

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[ 2 ] 李世春,邓长虹,龙志君,等 . 风电场等效虚拟惯性时间常数计算[ J ] . 电力系统自动化, 2016 , 40 ( 7 ): 22-29.
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[ 9 ] RAMIREZ-GONZALEZ M , SEVILLA F R S , KORBA P.Power system inertia estimation using a residual neural network based approach [ C ] ∥2022 4th Global Power , Energy and Communication Conference ( GPECOM ), 2022 : 355-360.

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备注/Memo

备注/Memo:
收稿日期: 2025-01-08
基金项目:智能电网保护和运行控制国家重点实验室资助项目( SGNR0000KJJS2302151 );南京工程学院研究生科技创新基金项目( TB202417050 )
作者简介:岳聚欣 ( 2001- ),男,河北张家口人,硕士研究生,研究方向为电力系统惯量估计;杨冬梅 ( 1983- ),女,四川乐山人,高级工程师,研究方向为电力系统自动化等,通信作者, E-mail : yangdongmei@sgepri.sgcc.com.cn 。
更新日期/Last Update: 2025-07-02