Maximum Power Point Tracking Using Fuzzy Logic Controller. | Original Article

ABSTRACT:

Due to energy crisis and environmental issues such as pollution and global warming effect, photovoltaic (PV) systems are becoming a very attractive solution and also electricity is a key driver of socio-economic development. The recent decades have seen the increase in demand for reliable and clean form of electricity derived from renewable energy sources. One such example is solar power. Now a day photovoltaic (PV) power generation is essential because it has more advantages over conventional methods. It is environment friendly, i.e. free from pollution, less maintenance cost and free fuel energy. But the major obstacles are high initial cost and low energy conservation efficiency, where maximizing the output power improves the efficiency. The maximum output power of a solar panel depends on the environmental conditions and load profile. Maximum power point tracking (MPPT) is one of the key functions of the solar power management system in solar energy development. The purpose is to design and optimize DC-DC converter for battery charging which will extract maximum power from solar panel. This is achieved by using fuzzy logic MPPT function is deployed using a SEPIC converter and computer simulations are conducted to verify the design. The experimental results present that the proposed fuzzy technique result in increasing of power delivery from the solar panel, causing a reduction in size, weight, and cost of solar panels in photovoltaic system.