To Optimize the Conduct of a Photovoltaic Structure using Different DC-DC Conversion Topologies with Emerging Methods for Control Algorithms

Abstract

Distributed generation is now a days one of the mostly used method for the production of electricity in different sectors like residential, commercial and industrial. The resources like solar, wind, hydro, biogas, tidal and biomass are in the race for the production of electrical energy. They are producing electricity independently as well helps in decreasing the pollution which was one of the main reasons to reduce the use of non-renewable sources. Out of several non-conventional energy sources, the source which is extensively used solar energy. Compared with other sources, it has many benefits like it is freely available, abundant in nature, non-polluting, and for conversion it does not require any rotating device. Integration of any system with other increases the performance. Hence to improve its overall efficiency, a solar system can be integrated with thermal, hydro or wind power system. Also, a best suited converter topology will be opted along with an appropriate maximum power point tracking algorithm to make it more effective in operation. But solar energy depends on radiance and temperature which shows it is variable and its power output reduces due to partial shedding in cells. This will alleviate the conversion efficiency of solar system (it is about 17-20%). Hence to increase the solar power output, soft and hard computing algorithms are used in a system which are called as control algorithms. This paper gives the idea regarding two major converter topologies-buck and boost, their comparison, and suitability of converter circuit for solar applications. Also, the paper focuses on different hard and soft computing methods which works to capture the optimum power point and related control algorithms.