首页|负荷侧惯量估计的精细化统计修正方法

负荷侧惯量估计的精细化统计修正方法

扫码查看
随着新能源的发展,作为系统惯量主要来源的常规机组不断被替代,负荷侧惯量占比持续提升,其重要性日益凸显.而目前已有负荷侧惯量估计方法较为简单,其估计结果误差较大,不能满足系统运行管理的需求.基于惯性资源统计,文中提出一种负荷侧惯量估计的精细化统计修正方法.首先,从负荷侧基础元件的惯量分析入手,基于基本负荷单元的惯量建模,并给出各种典型负荷模式下的负荷侧惯量估计表达式.然后,面向负荷侧分布式电源接入场景,分析其对惯量估计的隐藏效应,针对表后电源具有与不具有惯性环节2种情形,给出负荷侧惯量估计的统一修正公式.最后,依据IEEE 9节点系统搭建仿真系统,分别对包含与不包含表后电源2种情形进行仿真分析.结果表明所得负荷侧惯量误差均不超过5%,验证了所提惯量估计方法的准确性和可靠性.
Refined statistically modified method for load-side inertia estimation
With the development of new energy,conventional units which are the main source of system inertia are constantly being replaced.Meanwhile,the load-side inertia becomes increasingly prominent with the increase of proportion.However,the existing load-side inertia estimation method is relatively simple,and the lower estimation accuracy cannot meet the needs of system operation management.Based on the principle of inertial quantitative statistics,a refined statistically modified method for load-side inertia estimation is proposed.Starting from the inertia analysis of the load-side basic elements and inertia modelling of the basic load units,an expression of load-side inertia estimation is given under typical load operating modes.Considering the scenario of distributed power supply access with hidden effect,the expression is modified in two cases of power supply with or without inertia equipment.According to IEEE 9-bus system,a simulation system is conducted,and simulation tests are carried out respectively with behind-the-meter power supply or not.The results show that the error of load-side inertia estimation is less than 5%,which verifies the accuracy and reliability of the proposed inertia estimation method.

load-side inertiainertia elementsbehind-the-meter power supplyhidden effectstatistical modificationrefine-ment method

陈鑫宇、王琛淇、于晨阳、王鑫、许珈宁、李卫东

展开 >

国网辽宁省电力有限公司阜新供电公司,辽宁阜新 123000

大连理工大学电气工程学院,辽宁大连 116024

负荷侧惯量 惯性元件 表后电源 隐藏效应 统计修正 精细化方法

国家自然科学基金国家电网科技项目

U22A202232022-YF-34

2024

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子:0.969
ISSN:2096-3203
年,卷(期):2024.43(3)
  • 15