Power Load Optimization in a Wireless Communication System in Remote Area

ABSTRACT: Obtaining the maximum power is a very important issue in self-powered wireless systems, especially for those fed by solar panels. Solar energy is one of the most significant renewable energy sources which has no pollution and does not make any noise, and because of these advantages using solar energy is increasing rapidly. This thesis is written under the research project called Integrated Homeland Security Surveillance System (IHSSS). IHSSS is a multipurpose security surveillance system fed by solar energy; this thesis follows the project limitation and objectives. In systems which use photovoltaic (PV) panels as power source, obtaining the maximum power is essential. There are many methods to optimize energy drawn by solar panels; maximum power point tracking (MPPT) is one of the methods which widely used to optimize system performance. There are also several algorithms for maximum power point tracking, but each of those methods has its own problems in speed and accuracy, and they couldn’t improve both factors simultaneously. Among those methods, Hill Climbing method has the most acceptable speed and accuracy, but still can’t deliver both factors simultaneously. In this thesis, we propose to employ novel techniques to improve the optimum power tracking using the Hill Climbing method. MATLAB/Simulink simulation platform will be used for the simulation. The current work can also be used in other applications using photovoltaic technology, especially in MPPT. Keywords: solar panel, photovoltaic, maximum power Point tracking, power optimization, wireless communication system, renewable energy. ……………………………………………………………………………………………………………………………………………………………………………………………………………………