Maximum Power Extraction from Photovoltaic System using Integral Sliding Mode Control

Zaheer Alam, Ijaz Ahmad, Shafaat Ullah, Farman Ullah, Malak Adnan Khan, Muhammad Zafran, Atiq Ur Rehman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, an Integral Sliding Mode Control (ISMC) is presented to extract maximum power from photovoltaic (PV) system in the presence of uncertainties. The considered SISO system is affected by bounded uncertainty, which is directly effecting desire output of PV system. The main objective of this paper is to design such closed loop control system which can tolerate the uncertainty and make possible the maximum power extraction from PV system. Hence, ISMC is proposed as a robust control mechanism against these uncertainties. The efficiency of the presented concept is demonstrated in detail, using results of numerical simulations.

Original languageEnglish
Title of host publication2020 3rd International Conference on Computing, Mathematics and Engineering Technologies
Subtitle of host publicationIdea to Innovation for Building the Knowledge Economy, iCoMET 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728149707
DOIs
Publication statusPublished - Jan 2020
Externally publishedYes
Event3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020 - Sukkur, Pakistan
Duration: Jan 29 2020Jan 30 2020

Publication series

Name2020 3rd International Conference on Computing, Mathematics and Engineering Technologies: Idea to Innovation for Building the Knowledge Economy, iCoMET 2020

Conference

Conference3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020
Country/TerritoryPakistan
CitySukkur
Period1/29/201/30/20

Keywords

  • Bounded uncertainty
  • ISMC
  • MPPT
  • PV system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law
  • Computational Mathematics
  • Control and Optimization

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