Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications

This paper deals with the selection of dc-dc converter and control variable required to track the maximum power of photovoltaic (PV) array, to optimize the utilization of solar power. To reduce the maintenance cost and to simplify the model, the battery has not been used in the proposed PV system ma...

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Main Authors: Byamakesh Nayak, Alivarani Mohapatra, Kanungo Barada Mohanty
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2017.1363357
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spelling doaj-4734b99abf8f474b9b3c63abddc1388a2021-03-02T14:23:45ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.13633571363357Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applicationsByamakesh Nayak0Alivarani Mohapatra1Kanungo Barada Mohanty2KIIT UniversityKIIT UniversityNIT, RourkelaThis paper deals with the selection of dc-dc converter and control variable required to track the maximum power of photovoltaic (PV) array, to optimize the utilization of solar power. To reduce the maintenance cost and to simplify the model, the battery has not been used in the proposed PV system mainly used for cooking and heating applications. Since the battery has not been used, selection of dc-dc converter is an important consideration of the PV system in standalone applications. In the proposed system converter is selected based on maximum power transfer theorem which is dependent on load resistance. Different load resistance is considered for maximum power point tracking (MPPT) with different converter topologies, and it has been observed that buck-boost converter is suitable for any load resistance connected in the PV system. An effort has been taken to suitably choosing the control variable which is the output signal of the maximum power point (MPP) tracker. Control variable which is dependent on inputs of MPP tracker is decided based on the stability of the system. Two MPP trackers are designed based on neural-network (NN) controller and perturb and observe (P&O) algorithm. The tracking capabilities of both NN controller and the P&O algorithm is compared with the variation of irradiation and found that tracking capability of NN controller is better than P&O method. The system is simulated using MATLAB/Simulink environment, and the results show that NN controller tracks MPP at a faster rate with reduced oscillation.http://dx.doi.org/10.1080/23311916.2017.1363357photovoltaic power systemdc-dc convertermaximum power point tracking (mppt)perturb and observe (p&o)neural network (nn)
collection DOAJ
language English
format Article
sources DOAJ
author Byamakesh Nayak
Alivarani Mohapatra
Kanungo Barada Mohanty
spellingShingle Byamakesh Nayak
Alivarani Mohapatra
Kanungo Barada Mohanty
Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications
Cogent Engineering
photovoltaic power system
dc-dc converter
maximum power point tracking (mppt)
perturb and observe (p&o)
neural network (nn)
author_facet Byamakesh Nayak
Alivarani Mohapatra
Kanungo Barada Mohanty
author_sort Byamakesh Nayak
title Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications
title_short Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications
title_full Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications
title_fullStr Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications
title_full_unstemmed Selection criteria of dc-dc converter and control variable for MPPT of PV system utilized in heating and cooking applications
title_sort selection criteria of dc-dc converter and control variable for mppt of pv system utilized in heating and cooking applications
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2017-01-01
description This paper deals with the selection of dc-dc converter and control variable required to track the maximum power of photovoltaic (PV) array, to optimize the utilization of solar power. To reduce the maintenance cost and to simplify the model, the battery has not been used in the proposed PV system mainly used for cooking and heating applications. Since the battery has not been used, selection of dc-dc converter is an important consideration of the PV system in standalone applications. In the proposed system converter is selected based on maximum power transfer theorem which is dependent on load resistance. Different load resistance is considered for maximum power point tracking (MPPT) with different converter topologies, and it has been observed that buck-boost converter is suitable for any load resistance connected in the PV system. An effort has been taken to suitably choosing the control variable which is the output signal of the maximum power point (MPP) tracker. Control variable which is dependent on inputs of MPP tracker is decided based on the stability of the system. Two MPP trackers are designed based on neural-network (NN) controller and perturb and observe (P&O) algorithm. The tracking capabilities of both NN controller and the P&O algorithm is compared with the variation of irradiation and found that tracking capability of NN controller is better than P&O method. The system is simulated using MATLAB/Simulink environment, and the results show that NN controller tracks MPP at a faster rate with reduced oscillation.
topic photovoltaic power system
dc-dc converter
maximum power point tracking (mppt)
perturb and observe (p&o)
neural network (nn)
url http://dx.doi.org/10.1080/23311916.2017.1363357
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AT alivaranimohapatra selectioncriteriaofdcdcconverterandcontrolvariableformpptofpvsystemutilizedinheatingandcookingapplications
AT kanungobaradamohanty selectioncriteriaofdcdcconverterandcontrolvariableformpptofpvsystemutilizedinheatingandcookingapplications
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