Performance analysis of high power generation techniques and algorithms of solar photovoltaic systems also with the renewable energy hybrid systems

Abstract

Energy crisis and increasing demand for energy is the most important issue in today's world as demand for electrical energy increasing over the years. Conventional energy sources like fossil fuels are not only limited but also hazardous to environment. the production of electrical energy using clean, renewable sources, such as solar energy, wind energy, etc. Owing to the usage of solar energy, it has become necessary to develop some methods for the better use of solar energy. This paper deals with the comparative analysis of various tracking technologies and also gives the performance analysis standalone systems with the hybrid renewable systems for the greater power generation from the non-conventional sources. The solar tracing can be achieved by a Arduino controller based method of solar tracking with Light dependent resistors are used as sensors to determine the start and stop point of tracker. The tracking systems may consist of dual axis tracking by using sensors and PIC. The LDR Based stepper motor control performance with PLC control. The MPPT algorithm provides the hybrid systems performance, the aforementioned equations were coded with MATLAB V13.2, compared to experimental data. The model is intended to be used as an optimization and design tool. An Adaptive Neuro Fuzzy Inference System (ANFIS) based controller has been designed and the system is analyzed in terms of the power generation and consumption. The results obtained are encouraging in terms of their stability.