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

Name: Model predictive controller as a robust algorithm for maximum power point tracking
Author: Tasooji, Tohid Kargar, Mostafazadeh, A., Usta, Ö.

İsim	Model predictive controller as a robust algorithm for maximum power point tracking
Yazar	Tasooji, Tohid Kargar, Mostafazadeh, A., Usta, Ö.
Basım Tarihi:	2018-01-19
Basım Yeri	- IEEE
Konu	Maximum power point trackers, Integrated circuits, Photovoltaic systems, Prediction algorithms, Mathematical model, Algorithm design and analysis
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	9781538617236
Kayıt Numarası	08049a0e-4498-4783-8298-50319c16ab87
Tarih	2018-01-19
Örnek Metin	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

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

Basım Tarihi 2018-01-19

Basım Yeri - IEEE

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

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 9781538617236

Kayıt Numarası 08049a0e-4498-4783-8298-50319c16ab87

Tarih 2018-01-19

Örnek Metin 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