Transactions on Machine Intelligence

Transactions on Machine Intelligence

Assessment and Modeling of Voltage Harmonics Impacts on Distribution Transformers Considering the Effects of Different Loads

Document Type : Original Article

Authors
H. Nourizadeh 1
A. Nazeriyeh 2
L. Niknam 2
1 M.Sc. Graduate, Power Engineering, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran
2 M.Sc. Graduate, Semnan Regional Electric Company Semnan, Iran
10.47176/TMI.2019.154
Abstract
Given the significance of power quality and the substantial impact of harmonics on power systems, evaluating the influence of harmonics on system components and loads is a crucial consideration. The importance of harmonics in power systems has significantly increased with the rising prevalence of nonlinear loads and other high-frequency generating devices. Transformers are one of the primary components in power systems. Supplying nonlinear loads via transformers leads to increased copper and iron losses, higher operational costs, premature insulation failure, and consequently, a reduction in the transformer's useful lifespan. Specifically, when a transformer supplies only linear loads, despite increases in load levels and ambient temperature, its lifespan is not diminished. However, in the case of transformers supplying nonlinear loads, the harmonic currents increase the load levels and losses in the transformer, thereby reducing its lifespan. Accordingly, this paper analyzes and evaluates the impact of harmonic distortion on a 630 KVA Y-Y connected distribution transformer under both linear and nonlinear load conditions. The evaluation demonstrates that the presence of higher-order harmonics significantly increases losses, resulting in a reduction of the transformer's lifespan. To analyze the transformer under harmonic conditions, Simulink/MATLAB software was employed.
Keywords
Harmonic Voltage and Current
Distribution Transformers
Nonlinear Load
Harmonic Distortion
Transformer Lifespan
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Transactions on Machine Intelligence
Volume 2, Issue 3
Summer 2019
Pages 154-168

  • Receive Date 08 June 2019
  • Revise Date 17 August 2019
  • Accept Date 10 September 2019