首页|Analytic Formulae for Estimating Motor Proportion of Load Model Under Small Disturbance

Analytic Formulae for Estimating Motor Proportion of Load Model Under Small Disturbance

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In the composite load model(CLM),which is com-monly used in China,an equivalent motor and equivalent static load are used to represent all electrical equipment and networks connected to a load bus.Existing research has determined typical values of electrical and mechanical parameters for load models of different load types,which improves the basis for load modeling.However,the motor proportion parameter is not the same for different load buses or at different times;therefore,obtaining the actual motor proportion is key to establishing an accurate load model.In the existing load modeling method,motor proportion is commonly identified along with other parameters under rare large disturbances;therefore,the value of the motor proportion is fixed by the time when a large disturbance occurs.In this paper,formulae are derived to estimate motor proportion under small disturbances,and these formulae allow direct calculation of motor proportion without using any optimization algorithm.The proposed estimation formulae do not rely on any parameters of load model or power system but instead rely only on mea-surement of the voltage and active power at steady-state points before and after a small disturbance.Because of universality of small disturbances in power systems,estimating time-varying motor proportion under small disturbances will be helpful for solving the time-varying problem of load models.Finally,the proposed motor proportion estimation formulae are validated by simulations,physical experiments,and field experiments.

Composite load modelload modelingmotor proportionparameter estimation

Ping Ju、Shiqiu Xia、Yuqing Jin、Lu Cao

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School of Electrical and Power Engineering,Hohai University,Nanjing 211100,China

East China Branch of the State Grid Corporation of China,Shanghai 200120,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience and Technology Foundation of SGCC111 Project of Renewable Energy and Smart Grid

51837004U2066601SGJS0000DKJS1900497B14022

2024

10.17775/CSEEJPES.2021.07660

中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI
ISSN：2096-0042
年,卷(期)：2024.10(4)