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Harmonic Analysis of Photovoltaic Generation in Distribution Network and Design of Adaptive Filter

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of this paper is to investigate the effect of increased penetration level of Photovoltaic (PV) generation on the
distribution network. Harmonic distortion is the main factor studied in this paper and a typical three-bus distribution network is built
in MATLAB/Simulink to understand the harmonics problem. The obtained results show that current harmonics are more susceptible
to fluctuate compared to voltage harmonics. Based on existing IEEE harmonic standards, total demand distortion of current (TDDi) is evaluated to estimate maximum PV penetration level at Point of Common Coupling (PCC), and the maximum acceptable TDDi at each bus differs according to specific loading and short-circuit levels. Meanwhile, total harmonic distortion of current (THDi) at inverter outputs represents inverter performance. Instead of assessing at standard test conditions (STC), the impact of irradiance variations is studied. Low irradiance results in an increased THDi of the inverter whilst doesn’t explicitly affect TDDi at PCC. A simple and low-cost solution is proposed to dynamically vary the settings of inverter’s filter elements against irradiance, and harmonic distortion at low irradiance of the inverter is successfully mitigated.
Original languageEnglish
Pages (from-to)77-85
Number of pages9
JournalInternational Journal of Computing and Digital Systems
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Irradiance
  • PV penetration level
  • Power system
  • Total demand distortion
  • Total harmonic distortion

ASJC Scopus subject areas

  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Management of Technology and Innovation

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