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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Bibliographic Details
Published in:International journal of photoenergy 2018-01, Vol.2018 (2018), p.1-11
Main Authors: Ali, Naghmash, Naz, Neelma, Arsalan, Muhammad, Ahmad, Iftikhar, Iftikhar, Ramsha, Armghan, Hammad
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Buck converters
Efficiency
Environmental conditions
Fossil fuels
Fuzzy control
Fuzzy logic
International conferences
Maximum power
Neural networks
Nonlinear control
Photovoltaic cells
Solar cells
Solar energy
Solar radiation
Stability criteria
Tracking
Weather
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Summary: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.
ISSN:1110-662X
1687-529X
DOI:10.1155/2018/6979723