A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition

The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all Solar PVs, system-based electricity production is increased due to multiple advantages. In this paper a Solar PV system with an Artificial Neural Network (ANN)-based Maximum Power Point Trac...

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Main Authors: Pavithra C, Dhayalan R, Anandha Kumar S, Dharshan Y, Haridharan R, Vijayadharshini M
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2024-01-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
Online Access:https://publications.eai.eu/index.php/ew/article/view/4942
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author Pavithra C
Dhayalan R
Anandha Kumar S
Dharshan Y
Haridharan R
Vijayadharshini M
author_facet Pavithra C
Dhayalan R
Anandha Kumar S
Dharshan Y
Haridharan R
Vijayadharshini M
author_sort Pavithra C
collection DOAJ
description The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all Solar PVs, system-based electricity production is increased due to multiple advantages. In this paper a Solar PV system with an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) controller is developed. ANN has multiple advantages like stability, improved dynamic response, and fast and precise output. The System is modelled with a DC-DC boost converter with Perturb and Observe (P&O)-based MPPT controller which is operated in MATLAB-based Simulink model. Both the controller output is analyzed and compared, among these two controllers ANN has very fast and more precise output under dynamic conditions.
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spelling doaj.art-bc2d05c2df43422d8509115b07dbbff52024-01-26T18:52:11ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2024-01-011110.4108/ew.4942A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance ConditionPavithra C0Dhayalan R1Anandha Kumar S2Dharshan Y3Haridharan R4Vijayadharshini M5Sri Krishna College of Engineering and TechnologySri Krishna College of Engineering and TechnologySri Krishna College of Engineering and TechnologySri Krishna College of Engineering and TechnologySri Krishna College of Engineering and TechnologySri Krishna College of Engineering and Technology The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all Solar PVs, system-based electricity production is increased due to multiple advantages. In this paper a Solar PV system with an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) controller is developed. ANN has multiple advantages like stability, improved dynamic response, and fast and precise output. The System is modelled with a DC-DC boost converter with Perturb and Observe (P&O)-based MPPT controller which is operated in MATLAB-based Simulink model. Both the controller output is analyzed and compared, among these two controllers ANN has very fast and more precise output under dynamic conditions. https://publications.eai.eu/index.php/ew/article/view/4942PV systemP&OANNMPPT
spellingShingle Pavithra C
Dhayalan R
Anandha Kumar S
Dharshan Y
Haridharan R
Vijayadharshini M
A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
EAI Endorsed Transactions on Energy Web
PV system
P&O
ANN
MPPT
title A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
title_full A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
title_fullStr A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
title_full_unstemmed A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
title_short A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
title_sort novel comparative analysis of solar p o ann based mppt controller under different irradiance condition
topic PV system
P&O
ANN
MPPT
url https://publications.eai.eu/index.php/ew/article/view/4942
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