Maximizing Solar Power System's Efficiency Using Fuzzy Logic

Abstract

Solar energy is one or renewable sources it is important in electric power generation. There are various renewable sources. Solar energy is a good choice for electric power generation, which is viewed as clean and renewable source of energy for the future since the solar energy is directly converted into electrical energy by solar photovoltaic modules which are suitable for obtaining higher power output. This thesis proposes a solution for this problem by replacing diesel generator using solar PV as a backup system, and a battery-bank as a storage system. Such system is expected to: satisfy the load demands, minimize the cost, maximize the utilization of renewable sources, optimize the operation of battery-bank which is used as backup unit ensure efficient operation of the diesel generator, and reduce the environment pollution emissions from the diesel generator. This thesis presents a maximum power using fuzzy logic for a PV stand-alone system. Since the PV array characteristic is hardly nonlinear, conventional control technique could be inefficient for an optimal use of these systems. We know that PV systems are still very expensive, therefore a fuzzy logic controller is proposed to ensure the transfer of the maximum power to the system. This controller is designed to regulate the current of the system to get the maximum power. This thesis will focus on a small stand-alone solar power system. MATLAB software will be used to simulate the proposed solution. Results show that the current of PV after implementing fuzzy logic controller is more efficient, which means that more power transfer to the system.