الفهرس | Only 14 pages are availabe for public view |
Abstract Batteries are the power tank of renewable energy power systems. They play the role of power supply when the renewable energy power sources are not available. This thesis demonstrates the development of a new battery charge controller for renewable energy systems. A comprehensive review of the conventional controllers is conducted to collect their contributions, advantages, and disadvantages for comparison and validation. The new controller designed based on a novel maximum power point tracking (MPPT) technique. The new MPPT technique utilizes a smart algorithm and is optimized using the genetic neural algorithm. In addition, the proposed controller utilizes a multistage charging algorithm in order to minimizing the charging time. The components of photovoltaic generator system are introduced and mathematically modeled including the control and optimization methods. The charge controllers design aspects, functions, and charging control methods are discussed. Consequently, the new controller is modeled based on complete mathematical models. In order to determine the performance parameters and evaluate the validity and efficiency of the new controller, a complete PV system is modeled and simulated using MATLAB/SIMULINK. Moreover, a complete experimental prototype is implemented. The simulation and experimental results are compared for validation and clarification. They strongly agree on that, under all test conditions, the new controller tracks the target maximum power point (MPP) more faster than the traditional methods. In addition, it can tracks successfully the global maximum power point (GMPP) in all partial shading conditions. Moreover, the charging time is significantly reduced.he thesis is divided into six chapters organized as follows: Chapter One introduces the components of a general photovoltaic system. Moreover, it reviews the recent publications and contributions in the scope of maximum power point tracking and charging control methods for renewable energy systems. In addition, it lists the thesis objectives and outlines. Chapter Two covers the mathematical model of general photovoltaic systems and the control and optimization methods. Chapter Three demonstrates the theory, design aspects, and control methods of the battery charge controllers. Chapter Four shows the complete modeling, simulation, and validation of the proposed system. Chapter Five presents a complete experimental version for the proposed system including all test cases and validation. Chapter Six concludes the work and states the recommendations for future work. |