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Abstract
Modeling and simulation of stand-alone hybrid power system with fuzzy MPPT for remote load application
Highlights
Environmental effects such as global warming and pollution due to fossil fuel based electricity production systems are become huge issues in the International Agenda in the last two decades
To adapt the load resistance to the solar PV system and extract maximum power, the duty cycle is set to its optimal value which corresponds to its optimal operating point (Vopt, Iopt)
The proposed fuzzy logic based MPPT technique can track the maximum power point faster than the conventional controller. It has the ability of reducing the voltage fluctuation after Maximum Power Point (MPP) has been recognised
Summary
Environmental effects such as global warming and pollution due to fossil fuel based electricity production systems are become huge issues in the International Agenda in the last two decades. Solar PV and Wind energy sources have been proved as more promising, technically matured, and cost effective energy sources. They are being used in many places of world as a single source are combinely as HPS [1,2,3,4]. The renewable energy sources are producing energy using natural resources like solar irradiation, natural wind, tides or waves etc. These natural resources are varying in nature with respect to time. For wind system many techniques such as Tip speed ratio cotrol, Hill Climbing search, Fuzzy Logic Control, Neural Network Control etc. has been proposed in the literature [1, 10, 11]
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