Einstein International Journal Organization(EIJO)

Abstract

Electric power in modern time becomes one of the most important requirements in the world. There are several sources of electricity such as oil, nuclear power, waterfalls and some natural resources such as wind and solar energy. In the past decade, due to many restrictions on natural sources of energy input in pollution and environmental damage, scarcity of resources, there is a need to use renewable energy sources. In India, petroleum is the main and natural supplier of electric power. But the traditional energy crisis has forced the world to prepare for the solar and wind system. As the source of solar, wind energy is unaffected by their utilization and available throughout the world, it became obvious and prime topic of research for scholars from last three decades. The World Bank Group (WBG) has signed an agreement with the International Solar Alliance (ISA), consisting of 121 countries led by India, to collaborate in increasing solar energy use worldwide to mobilize $ 1 billion in investments for 2030. [1]

In this proposed work maximum power point of solar wind hybrid system is tracked by using Incremental Conductance method and artificial neural network at different temperature and irradiation for PV module and with different speed for wind turbine. A PMSG based stand-alone solar wind hybrid generation system MPPT tracker and feed forward artificial neural network is designed, modeled and simulated with MATLAB & SIMULINK.

Keyword: Wind Energy, PV module, Maximum Power Point (MPP), Permanent Magnet Synchronous Generator, Artificial neural network

1. Turner, John A. "A realizable renewable energy future." Science 285.5428 (1999): 687-689.