Model predictive controller as a robust algorithm for maximum power point tracking

Tohid Kargar Tasooji, Asgar Mostafazadeh, Omer Usta

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

1 Citation (Scopus)

Abstract

In the recent years, solar energy has attended the world as a clean energy. Many researchers are focused on extracting maximum power from solar panels. So, Maximum Power Point Tracking (MPPT) is used for increasing efficiency of solar PV system. This paper presents Model Predictive Controller (MPC) as a method for Maximum Power Point Tracking (MPPT) and compares it, with Perturb and Observe (P&O) and Incremental Conductance algorithm (IC) techniques. The MATLAB/Simulink and SimPower Systems software packages are used to model a proposed strategy. Simulation results show that Perturb and Observe (P&O) and Incremental Conductance algorithm (IC) techniques have limitation for tracking the exact maximum power point in transient insolation conditions. However, Model Predictive Controller (MPC) method is robust against fast varying of insolation conditions. Also, MPC method is faster than P&O and IC technique according to the simulation results.

Original languageEnglish
Title of host publication2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages175-179
Number of pages5
ISBN (Electronic)9786050107371
Publication statusPublished - 2 Jul 2017
Event10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey
Duration: 29 Nov 20172 Dec 2017

Publication series

Name2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume2018-January

Conference

Conference10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Country/TerritoryTurkey
CityBursa
Period29/11/172/12/17

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

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