A Quantitative Method for Establishing Field Measurement-Based Voltage Dependence Load Parameters

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Fazillah Mohmad Kamal
Idyawati Hussein

Abstract

Static load models of voltage dependence are frequently used in low voltage network simulation research. However, there is usually a lack of defined main parameters for static load models for voltage dependence to represent commonly used loads in residential premises. This paper presents a statistical approach for determining key parameters in models of static load dependence on voltage. Eleven (11) single-phase load types were investigated based on field measurements corresponding to 33 kV upstream on-load tap-changer operations. Changes in the individual loads' active and reactive power due to changes in input voltages were recorded and statistically analyzed to determine the parameters used for the static load model of the voltage dependence. The findings were validated by laboratory measurements of the individual loads and were discovered to be compatible and in close agreement with the statistical analysis outcomes. A simulation case study conducted on a low voltage network with solar photovoltaic penetration shows important deviations in peak power supply, power losses, inverse power flow and energy consumption in the network between steady power load model and LTV model, particularly when the source voltage is set at above 1.0 per unit.

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How to Cite
Fazillah Mohmad Kamal, & Idyawati Hussein. (2022). A Quantitative Method for Establishing Field Measurement-Based Voltage Dependence Load Parameters. IIRJET, 5(1). https://doi.org/10.32595/iirjet.org/v5i1.2019.93