Flexible Power Generation Based on Model Predictive Control for PV Systems

Mohamed Abdelrahem*, Mostafa Ahmed, Ibrahim Harbi, Ralph Kennel, Jose Rodriguez

*Corresponding author for this work

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

Abstract

This paper proposes a flexible power generation scheme based on model predictive control (MPC). The proposed method combines maximum power point tracking (MPPT) operation with constant power generation (CPG), where the maximum power is extracted from the photovoltaic (PV) system. However, if the extracted power exceeds a certain threshold, the power generation will then be limited. A modified version of the perturb and observe (P&O) method is proposed to enhance the efficiency of the PV system. After that, the reference generated will be sent to the MPC loop, which decides the optimal switching state according to the cost function design. Different operating conditions confirm the superiority of the suggested technique, while comparison with the conventional method highlights the main benefits.

Original languageEnglish
Title of host publication2023 24th International Middle East Power System Conference, MEPCON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350358469
DOIs
StatePublished - 2023
Event24th International Middle East Power System Conference, MEPCON 2023 - Mansoura, Egypt
Duration: 20232023

Publication series

Name2023 24th International Middle East Power System Conference, MEPCON 2023

Conference

Conference24th International Middle East Power System Conference, MEPCON 2023
Country/TerritoryEgypt
CityMansoura
Period19/12/2321/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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