Fuzzy and PLL Based MPPT System Design for Energy Efficiency Of PV System:With A Case Study in Samara University
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Date
2020-01
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Addis Ababa University
Abstract
Maximum power point tracking plays an important role for Photovoltaic systems because it optimize the power output from a Pholovoltaic system for a given set of conditions. This thesis presents a maximum power point tracker using artificial intelligence(Fuzzy controller) and Phase locked loop for a Grid Connected Photovoltaic system. The aim of this paper is to improve the dynamic performance of the available photovoltaic (PV) system and maximizing the power obtained from it by the use of cascaded converters with intelligent control techniques. Fuzzy logic based maximum power point technique have embedded in the first conversion stage to obtain the maximum power from the available PV array. The cascading of second converter which is needed to maintain the terminal voltage at grid potential. The soft-switching region of the three-stage converter is increased with the proposed phase-locked loop leads to a reduction in the ripple content, rating of components, and switching losses. The PV array is mathematically modeled and the results will be analyzed. This thesis lead to accomplishing maximum power and improved reliability for the same insolation of the PV system. After designed and sized the proposed system components, each System elements are individually modelled in MATLAB/SIMULINK and then connected to assess performance under different environmental conditions. The system consists of modeled PV Array, Boost converter model, TSSSBC, modeled fuzzy controller, Phase locked loop, inverter, and low pass filter is applied to generate a 24.22kW power by using a boost converter as a supporter for maximum power point traking algorithm by adjusting the duty cycle of the boost converter to maximize the output signal of the solar PV array was optimized using boost converter. The performance of the proposed controllers for energy efficiency of PV system is evaluated through simulation studies. The simulation results show that the efficiency of the photovoltaic system with the fuzzy logic controller is 99.2%, where as the same without any controller is found to be 87%.
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Keywords
Maximum Power Point Traking (MPPT), Artificial intelligent (AI), Fuzzy logic (FL), Three stage soft switching boost converter (TSSBC), Phase looked loop(PLL), Photovoltaic (PV)