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

Title	Model predictive controller as a robust algorithm for maximum power point tracking
Author	Tasooji, Tohid Kargar, Mostafazadeh, A., Usta, Ö.
Publication Date:	2018-01-19
Publication Place	- IEEE
Subject	Maximum power point trackers, Integrated circuits, Photovoltaic systems, Prediction algorithms, Mathematical model, Algorithm design and analysis
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	9781538617236
Record ID	08049a0e-4498-4783-8298-50319c16ab87
Date	2018-01-19
Sample Text	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.
Cilt	2018

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

Author Tasooji, Tohid Kargar, Mostafazadeh, A., Usta, Ö.

Publication Date 2018-01-19

Publication Place - IEEE

Subject Maximum power point trackers, Integrated circuits, Photovoltaic systems, Prediction algorithms, Mathematical model, Algorithm design and analysis

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 9781538617236

Record ID 08049a0e-4498-4783-8298-50319c16ab87

Date 2018-01-19

Sample Text 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.

Cilt 2018