Optimal Design of Photovoltaic Connected Energy Storage System Using Markov Chain Models

This study improves an approach for Markov chain-based photovoltaic-coupled energy storage model in order to serve a more reliable and sustainable power supply system. In this paper, two chain models are proposed: Embedded Absorbing chain. The equilibrium probabilities of the completely characterize system behavior at certain point time. Thus, can be used calculate important measurements evaluate such as average availability or probability when battery is fully discharged. Also, employed expected duration until fails load demand, well failure once new installed results show that optimal condition satisfying 3 nines (0.999), with usage 1209.94 kWh, capacity 25 MW, number photovoltaic modules 67,510, which considered installation operation cost. initial state charge set 80% higher, available time stable than 20,000 h.