Inaccuracies and Uncertainties for Harmonic Estimation in Distribution Networks

Muhammad Naveed Iqbal (), Lauri Kütt, Kamran Daniel (), Noman Shabbir, Anas Amjad, Abdul Waheed Awan and Majid Ali
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Muhammad Naveed Iqbal: Department of Engineering, School of Digital, Technology, Innovation & Business, Staffordshire University, Stoke-on-Trent ST4 2DE, UK
Lauri Kütt: Department of Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
Kamran Daniel: Department of Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
Noman Shabbir: Department of Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia
Anas Amjad: Department of Engineering, School of Digital, Technology, Innovation & Business, Staffordshire University, Stoke-on-Trent ST4 2DE, UK
Abdul Waheed Awan: Department of Engineering, School of Digital, Technology, Innovation & Business, Staffordshire University, Stoke-on-Trent ST4 2DE, UK
Majid Ali: Department of Engineering, School of Digital, Technology, Innovation & Business, Staffordshire University, Stoke-on-Trent ST4 2DE, UK

Sustainability, 2024, vol. 16, issue 15, 1-18

Abstract: The proliferation of electronic loads has led to a substantial increase in harmonic emissions within low-voltage distribution networks. The accurate estimation of the expected levels of harmonics in a network is a daunting task for network operators. Stochastic-based harmonic estimation models can offer a comprehensive assessment of the expected levels of harmonics in the presence of existing and future loads, including electric vehicles and smart-grid-enabled devices. Such models offer a valuable tool for network operators to assess the potential impact of harmonics on future networks and to create sustainable design solutions to meet the increasing demand for electricity while achieving net zero targets. However, several variables associated with these estimations models involve a level of uncertainty due to their stochastic nature, leading to inaccuracies in the estimations. This paper aims to provide a more realistic estimate of these uncertainties in order to improve the outcomes of harmonic estimation models for the development of sustainable distribution networks.

Keywords: harmonic estimations; load modeling; cable impedance; network uncertainties (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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