Development Of PV Emulator For Partial Shading Condition With Processor-In-The-Loop Simulation Utilizing Real-Time Microcontoller

Jordan S.Z. Lee, Rodney H.G. Tan, Nadia M.L. Tan, T. Sudhakar Babu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new approach and development of a PV emulator capable of accurately emulating the output characteristics of a PV module under partial shading conditions. The use of the MATLAB Simulink platform, coupled with the integration of a DC-DC buck converter and PI controller, enables reliable and accurate emulation of the behaviour of PV module under partial shading condition. The resulting power-voltage curve exhibits three distinct peaks, closely matching the characteristics of a real PV module, with mean absolute (MAPE) error percentage of only 0.167%. The inclusion of Processor-in-the-Loop (PIL) simulation further enhances the accuracy of the PV emulator, resulting in an even lower MAPE of 0.142%. Overall, the proposed PV emulator demonstrates robustness with settling time as low as 3ms at the peak power operating point and effectiveness in dynamic load conditions, highlighting its potential for practical applications.

Original languageEnglish
Title of host publicationIEACon 2023 - 2023 IEEE Industrial Electronics and Applications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-121
Number of pages6
ISBN (Electronic)9798350347517
DOIs
Publication statusPublished - 2023
Event4th IEEE Industrial Electronics and Applications Conference, IEACon 2023 - Penang, Malaysia
Duration: 6 Nov 20237 Nov 2023

Publication series

NameIEACon 2023 - 2023 IEEE Industrial Electronics and Applications Conference

Conference

Conference4th IEEE Industrial Electronics and Applications Conference, IEACon 2023
Country/TerritoryMalaysia
CityPenang
Period6/11/237/11/23

Keywords

  • DC-DC buck converter
  • PI controller
  • PV emulator
  • partial shading
  • processor-in-the-loop

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Control and Optimization

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