MPPT for Photovoltaic System Using Nonlinear Controller

MPPT for Photovoltaic System Using Nonlinear Controller

Photovoltaic (PV) system generates energy that varies with the variation in environmental conditions such as temperature and solar radiation. To cope up with the ever increasing demand of energy, the PV system must operate at maximum power point (MPP), which changes with load as well as weather cond...

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Main Authors: Ramsha Iftikhar, Iftikhar Ahmad, Muhammad Arsalan, Neelma Naz, Naghmash Ali, Hammad Armghan
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2018/6979723
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spelling doaj-529f291ca917477fb86e0eed6ba52d732020-11-24T23:38:46ZengHindawi LimitedInternational Journal of Photoenergy1110-662X1687-529X2018-01-01201810.1155/2018/69797236979723MPPT for Photovoltaic System Using Nonlinear ControllerRamsha Iftikhar0Iftikhar Ahmad1Muhammad Arsalan2Neelma Naz3Naghmash Ali4Hammad Armghan5SEECS, National University of Science and Technology, Islamabad, PakistanSEECS, National University of Science and Technology, Islamabad, PakistanSEECS, National University of Science and Technology, Islamabad, PakistanSEECS, National University of Science and Technology, Islamabad, PakistanSchool of Electrical Engineering, The University of Faisalabad, Faisalabad, PakistanSchool of Electrical Engineering, The University of Faisalabad, Faisalabad, PakistanPhotovoltaic (PV) system generates energy that varies with the variation in environmental conditions such as temperature and solar radiation. To cope up with the ever increasing demand of energy, the PV system must operate at maximum power point (MPP), which changes with load as well as weather conditions. This paper proposes a nonlinear backstepping controller to harvest maximum power from a PV array using DC-DC buck converter. A regression plane is formulated after collecting the data of the PV array from its characteristic curves to provide the reference voltage to track MPP. Asymptotic stability of the system is proved using Lyapunov stability criteria. The simulation results validate the rapid tracking and efficient performance of the controller. For further validation of the results, it also provides a comparison of the proposed controller with conventional perturb and observe (P&O) and fuzzy logic-based controller (FLBC) under abrupt changes in environmental conditions.http://dx.doi.org/10.1155/2018/6979723
collection DOAJ
language English
format Article
sources DOAJ
author Ramsha Iftikhar
Iftikhar Ahmad
Muhammad Arsalan
Neelma Naz
Naghmash Ali
Hammad Armghan
spellingShingle Ramsha Iftikhar
Iftikhar Ahmad
Muhammad Arsalan
Neelma Naz
Naghmash Ali
Hammad Armghan
MPPT for Photovoltaic System Using Nonlinear Controller
International Journal of Photoenergy
author_facet Ramsha Iftikhar
Iftikhar Ahmad
Muhammad Arsalan
Neelma Naz
Naghmash Ali
Hammad Armghan
author_sort Ramsha Iftikhar
title MPPT for Photovoltaic System Using Nonlinear Controller
title_short MPPT for Photovoltaic System Using Nonlinear Controller
title_full MPPT for Photovoltaic System Using Nonlinear Controller
title_fullStr MPPT for Photovoltaic System Using Nonlinear Controller
title_full_unstemmed MPPT for Photovoltaic System Using Nonlinear Controller
title_sort mppt for photovoltaic system using nonlinear controller
publisher Hindawi Limited
series International Journal of Photoenergy
issn 1110-662X
1687-529X
publishDate 2018-01-01
description Photovoltaic (PV) system generates energy that varies with the variation in environmental conditions such as temperature and solar radiation. To cope up with the ever increasing demand of energy, the PV system must operate at maximum power point (MPP), which changes with load as well as weather conditions. This paper proposes a nonlinear backstepping controller to harvest maximum power from a PV array using DC-DC buck converter. A regression plane is formulated after collecting the data of the PV array from its characteristic curves to provide the reference voltage to track MPP. Asymptotic stability of the system is proved using Lyapunov stability criteria. The simulation results validate the rapid tracking and efficient performance of the controller. For further validation of the results, it also provides a comparison of the proposed controller with conventional perturb and observe (P&O) and fuzzy logic-based controller (FLBC) under abrupt changes in environmental conditions.
url http://dx.doi.org/10.1155/2018/6979723
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AT iftikharahmad mpptforphotovoltaicsystemusingnonlinearcontroller
AT muhammadarsalan mpptforphotovoltaicsystemusingnonlinearcontroller
AT neelmanaz mpptforphotovoltaicsystemusingnonlinearcontroller
AT naghmashali mpptforphotovoltaicsystemusingnonlinearcontroller
AT hammadarmghan mpptforphotovoltaicsystemusingnonlinearcontroller
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