Cost effective provisioning of electricity in smart nano-grid using GA and optimized heuristic algorithm

Abstract

In the last few decades, developing countries power demand has increased which lead to several critical issues like frequent power outages and peak pricing hours. Utilization of distributed energy sources along with utility grid has helped to cope with these issues to certain level but still there are some loopholes. Novel intelligent algorithms are needed to handle such hybrid systems. In this paper, an algorithm is proposed for consistent and cost effective power supply for Grid-connected photovoltaic system which considers a set of constraints i.e. load-shedding hours, tariff hours and weather conditions. This paper proposes genetic algorithm for making optimal decision for the cost, considering all the above mentioned constraints. The research has also presented another heuristic algorithm which takes much less computation time then Genetic Algorithm and provides comparable results.