Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/479075
Title: Optimization based mppt for single diode Pv model and iot based fault detection of Pv systems
Researcher: Senthilkumar, S
Guide(s): Mohan, V
Keywords: Engineering and Technology
Engineering
Engineering Electrical and Electronic
single diode Pv model
iot based fault detection
Pv systems
University: Anna University
Completed Date: 2023
Abstract: The utilization of solar Photovoltaic (PV) systems has been increased enormously in the past few decades due to less availability of fossil fuels. Most of the applications based on conventional energy sources are moved towards renewable energy to reduce the cost and save the environment. The performance of the solar PV systems must be predicted through accurate simulation designs before proceeding into a real-time application to avoid errors. The parameter estimation of a single diode model becomes a challenging task, owing to limited data availability in datasheets. However, the solar PV plants face numerous failures and faults due to environmental and internal components. Though internal standards are followed, the faults are unavoidable and undetectable which affects the performance of production plants. So, a suitable fault detection mechanism is essential for a solar PV system to detect fault. In this research work, mathematical model is developed for a single diode solar PV system. After developing the mathematical model it is simulated and analyzed using Matlab/Simulink under different environmental conditions. The performance of the system is enhanced by introducing an optimization based Maximum Power Point Tracking (MPPT) strategy. Particle Swarm Optimization (PSO), Genetic Algorithm (GA), BAT optimization, and Grey Wolf Optimization (GWO) model-based MPPT circuits are designed and the performances are comparatively analyzed. Simulation results identify the nonlinear relationship between current-voltage and power-voltage as characteristic curves for different temperature and irradiance values. Maximum power, MPPT power and Tracking Efficiency (TE) are analyzed to verify the optimization based MPPT system. newline
Pagination: xiv,153p.
URI: http://hdl.handle.net/10603/479075
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File17.54 kBAdobe PDFView/Open
02_prelim pages.pdf4.25 MBAdobe PDFView/Open
03_content.pdf23.32 kBAdobe PDFView/Open
04_abstract.pdf14.36 kBAdobe PDFView/Open
05_chapter 1.pdf798.68 kBAdobe PDFView/Open
06_chapter 2.pdf619.63 kBAdobe PDFView/Open
07_chapter 3.pdf848.66 kBAdobe PDFView/Open
08_chapter 4.pdf1.13 MBAdobe PDFView/Open
09_chapter 5.pdf1.42 MBAdobe PDFView/Open
10_annexures.pdf160.52 kBAdobe PDFView/Open
80_recommendation.pdf63.03 kBAdobe PDFView/Open
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