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A statistical method to establish voltage dependency load parameters based on field measurements

Voltage dependency static load models are commonly applied to simulation studies on low voltage network. However, there is generally a lack of established key parameters for voltage dependency static load models to represent loads commonly used in residential premises. This paper presents a statisti...

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Main Authors: Tang J.H., Au M.T., Busrah A.M., Anthony T.M.
Other Authors: 55865690900
Format: Article
Published: Warsaw University of Technology 2023
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spelling my.uniten.dspace-236662023-05-29T14:50:52Z A statistical method to establish voltage dependency load parameters based on field measurements Tang J.H. Au M.T. Busrah A.M. Anthony T.M. 55865690900 9742020600 9742798900 26422816100 Voltage dependency static load models are commonly applied to simulation studies on low voltage network. However, there is generally a lack of established key parameters for voltage dependency static load models to represent loads commonly used in residential premises. This paper presents a statistical approach to determine key parameters in voltage dependency static load models. Eleven (11) individual single- phase types of loads were investigated based on field measurements corresponding to on-load tap-changer operations at 33 kV upstream. Changes in active and reactive power of the individual loads due to changes in input voltages were recorded and analyzed statistically to determine the parameters used for the voltage dependency static load model. The results were validated through laboratory measurements of the individual loads and found to be consistent and in close agreement with results obtained from the statistical analysis. A simulation case study performed on a low voltage network with solar photovoltaic penetration indicates significant deviation in peak power demand, power losses, reverse power flow and energy consumption in the network between constant power load model and LTV model in particular when source voltage is set at above 1.0 per unit. � 2018 Int. J. Elec. & Elecn. Eng. & Telcomm. Final 2023-05-29T06:50:52Z 2023-05-29T06:50:52Z 2018 Article 10.18178/ijeetc.7.4.172-177 2-s2.0-85057992794 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057992794&doi=10.18178%2fijeetc.7.4.172-177&partnerID=40&md5=1a44489082939766815684cbcbb9f591 https://irepository.uniten.edu.my/handle/123456789/23666 7 4 172 177 Warsaw University of Technology Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Voltage dependency static load models are commonly applied to simulation studies on low voltage network. However, there is generally a lack of established key parameters for voltage dependency static load models to represent loads commonly used in residential premises. This paper presents a statistical approach to determine key parameters in voltage dependency static load models. Eleven (11) individual single- phase types of loads were investigated based on field measurements corresponding to on-load tap-changer operations at 33 kV upstream. Changes in active and reactive power of the individual loads due to changes in input voltages were recorded and analyzed statistically to determine the parameters used for the voltage dependency static load model. The results were validated through laboratory measurements of the individual loads and found to be consistent and in close agreement with results obtained from the statistical analysis. A simulation case study performed on a low voltage network with solar photovoltaic penetration indicates significant deviation in peak power demand, power losses, reverse power flow and energy consumption in the network between constant power load model and LTV model in particular when source voltage is set at above 1.0 per unit. � 2018 Int. J. Elec. & Elecn. Eng. & Telcomm.
author2 55865690900
author_facet 55865690900
Tang J.H.
Au M.T.
Busrah A.M.
Anthony T.M.
format Article
author Tang J.H.
Au M.T.
Busrah A.M.
Anthony T.M.
spellingShingle Tang J.H.
Au M.T.
Busrah A.M.
Anthony T.M.
A statistical method to establish voltage dependency load parameters based on field measurements
author_sort Tang J.H.
title A statistical method to establish voltage dependency load parameters based on field measurements
title_short A statistical method to establish voltage dependency load parameters based on field measurements
title_full A statistical method to establish voltage dependency load parameters based on field measurements
title_fullStr A statistical method to establish voltage dependency load parameters based on field measurements
title_full_unstemmed A statistical method to establish voltage dependency load parameters based on field measurements
title_sort statistical method to establish voltage dependency load parameters based on field measurements
publisher Warsaw University of Technology
publishDate 2023
_version_ 1806428431781462016
score 13.211869

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