Genetic Algorithm optimization technique in EES for Improvement of selfconsumption

Abstract

The variation in environmental condition play an important role in energy requirement due to which
demand increase day by day and have chances in energy fluctuation. The use of petroleum products
like fuel, coal or gas affects the green house layer and deployed it. To mitigate this kind of
issues,worldwide methodologies are adopted with their counter advancing progression which helps in
renewable distributed age’s dispersion by considering its advancement. The enhancement in this
innovationhelps for business profit as well transformation in technology. For example hybrid system
of renewable and non-renewable resources having wide range of equipments with high efficiency and
sustainable power sources like air and sun based system. In this paper Genetic algorithm based
approach is used to maximize the self consumption of electrical energy for energy generating plants
in residential sector. Battery storage system is used to for improvement in self consumption of energy