Abstract
A hybrid renewable energy system (HRES) is the energy system which combines several renewable energy sources and conventional generators such as solar photovoltaic, wind energy and conventional diesel generator for back up. The matching of electrical generation with power consumption in HRES is a challenging problem due to the intermittent and highly variable characteristics of renewable energies and unknown demand. In this paper, we optimize the number of renewable energy generators in each station so as to result in minimized total generation cost, while satisfying demand of each area. Further, we propose a new methodology to handle the problem. Numerical experiments show that the proposed method can work well in real settings. Finally, we create a decision support system (DSS) that enables power management in real time.