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Maximum power point tracker (MPPT) based photovoltaic (PV) water pumping system using AC and DC motors

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Master's Thesis from the year 2014 in the subject Engineering - Power Engineering, , course: Optical Engineering, language: English, abstract: With the increased use of photovoltaic (PV) water pumping system, the photovoltaic (PV) has become one of the most promising technology in solar energy applications. Moreover, PV water pumping system is getting more popular in recent days especially in remote areas to supply water where electricity is economically not available. The present study deals with the simulation of Photovoltaic (PV) based AC motor pumping system and DC motor pumping system equipped with Maximum Power Point Tracker (MPPT) and without MPPT. We performed comparative tests of the two well-known MPPT 'the Perturbation and observation' (P&O) and the 'Incremental Conductance' (IncCond) algorithms using actual irradiance data for different climate conditions, and also explained of various MPPT algorithms and the modeling of PV module is discussed in this thesis.The PV pumping system with DC motor-pump load is simulated and described, whose study is carried out by using SimPowerSystem in MATLAB/SIMULINK and the model is then transfer into MATLAB. The whole system is implemented in MATLAB simulation, and verifies the functionality and benefits of MPPT. Simulations also established comparisons between both systems in terms of performance parameters such as total energy produced and total volume of water pumped a day. The results indicate that the system with MPPT can significantly improve the performance and the efficiency of PV water pumping system as compared to the one without MPPT. The PV pumping system with an inverter fed AC induction motor is studied and simulations are carried out by using MATLAB to verify the functional performance and advantages of MPPT, and the detailed comparison between direct coupled systems and systems with MPPT is also included. The result validates that the pumping system with MPPT has much better performance compared to the system without MPPT.The comparative tests of the two MPPT methods, Perturbation and observation (P&O) and Incremental Conductance (IncCond), are done by MATLAB to the achieve maximum power transfer. The results validate that under cloudy weather conditions, the performance of the IncCond algorithm exhibits slightly higher efficiency than performance of the P&O algorithm. The simulations of the PV system with resistive load with MPPT vs. direct are coupled also carried out. The results show that the system with MPPT can utilize more than (96%) of electric energy produced from PVG (PV generator) and, on the other hand the system wit

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PV Manager Renewable Energy & Microgrid Expert EPC Project Specialist Rehan Jamil is a seasoned professional in the renewable energy sector, specializing in large-scale solar power projects, microgrid solutions, and hybrid PV + energy storage systems. With a strong background in electrical and optical engineering, he has extensive experience in EPC (Engineering, Procurement, and Construction) for utility-scale solar, industrial applications, and sustainable energy solutions across various sectors, including mining, manufacturing, agriculture, and commercial industries. He holds a B.Sc. in Electrical (Electronics) Engineering from Federal Urdu University of Arts, Science & Technology, Islamabad, Pakistan (2009) and a Master's degree in Optical Engineering from Yunnan Normal University, Kunming, China (2011-2014), funded by the CSC Chinese Government Scholarship. During his academic tenure, he contributed significantly to scientific research, publishing 15 peer-reviewed research papers and two Google e-books in international journals, including IEEE and SCI-indexed conferences. Additionally, he was actively involved in China's National and International Scientific and Technological Cooperation Projects (Grant No. 2011DFA60460) at Yunnan Normal University. Rehan is a member of the National Society of Professional Engineers (NSPE) and the American Society of Mechanical Engineers (ASME). Professionally, he has held key leadership positions in the renewable energy industry. He previously served as a Project Manager at TBEA Xinjiang SunOasis Co., Ltd., where he managed large-scale EPC solar projects. Currently, he is the PV Manager at SANY Heavy Industry Co., Ltd, Saudi Arabia, spearheading the development of solar power and energy storage solutions tailored for carbon-neutral mining operations, industrial zones, agricultural applications, and commercial/utility-scale deployments. His expertise lies in developing, executing, and optimizing solar energy projects, integrating hybrid renewable energy solutions, and driving strategic energy transition initiatives in the Middle East market.