A stability enhanced model predictive controller cuddled mppt for pv system of hybrid standalone renewable energy system

Abstract

The rapid decline in the availability of non-renewable sources of energy or fossil fuels due to increasing demand and which multiplied exponentially to the consumers demand. Hence alternate sources of energy have been investigating, explored and researched in the past decade which involves the abundantly available solar energy from the radiation of the Sun, the tidal energy available from waves of sea and ocean, bioenergy available from biomass and refuses matters, wind energy tapped from gusts of wind. Hybridization of renewable energies means integrating two or more renewable energy sources to provide a continuous energy supply. The hybridization of renewable energy source is the most economical way to harvests energy from renewable sources. Renewable energy sources are weather dependent also the availability of energy is time-varying. The variation of energy causes instability of the system control parameters; result in poor in maximum power extraction and power quality. Coordination of system parameters is a primary task in hybrid renewable energy system to obtain continuous, stable and with good power quality. This work investigates the controller design using a model predictive control for improvement in power quality,Space Vector Pulse Width Modulation (SVPWM)based adaptive fuzzy sliding mode control for power system stabilization in the hybrid renewable energy system and also proposes a power-optimized hybrid renewable energy system using neural computing and bee algorithm. In this work presents the investigation and implementation of a hybrid renewable energy system involving solar and wind energy sources. This combination proves to be an asset in regions where an abundance availability of solar radiation and winds energy. It could be seen apart from the individual merits of either of the systems, and they also offer the primary advantage of energy compensation. When power generation in one unit is on the lower side due to unavailability of the resource or other technical glitches, the power production