V2I8P49

Adaptive Neural Network MPTT for Enhancing Reliability of Hybrid Solar-Wind Systems in Smart Microgrids

Niraj Mishra^1*

Abstract

The world is in the problem of scarcity in the raw material for generating electricity for upcoming years. The researchers are suggesting opting for multiple distributed generation systems including the commercial non-renewable energy resources and non-commercial energy sources of electricity generation. In this aspect most versatile way of generating electricity is solar energy. Energy is capable to withhold any kind of condition whether it is geographical or environmental. It can perform in minimum investment of the world situations on the earth or in space. Still there is a lot of research that needs to be done to upgrade the system so that more electricity can be obtained. Along with the research and systems one has to scope up with the techniques to get maximum output. As the rhythm goes by maximum output can be obtained on maximum power conditions. MPPT techniques come in handy in this situation. The system here works on different types of MPPT techniques in hybrid mode along with the and techniques the system is actually verifying the results and simulated verifications.

Keywords:

Annmptt, Solar, Wind, Hybrid Systems, Smart microgrid