Ping Ju, Shiqiu Xia, Yuqing Jin, et al. Analytic Formulae for Estimating Motor Proportion of Load Model Under Small Disturbance[J]. CSEE Journal of Power and Energy Systems, 2024, 10(4): 1599-1607.
DOI:
Ping Ju, Shiqiu Xia, Yuqing Jin, et al. Analytic Formulae for Estimating Motor Proportion of Load Model Under Small Disturbance[J]. CSEE Journal of Power and Energy Systems, 2024, 10(4): 1599-1607.DOI: 10.17775/CSEEJPES.2021.07660.
Analytic Formulae for Estimating Motor Proportion of Load Model Under Small Disturbance
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 measurement 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