Optimal power flow management in a photovoltaic nanogrid with batteries

This paper proposes an optimal power management approach to reduce the operating costs by managing the power flows in a photovoltaic (PV)-diesel generator hybrid nanogrid with batteries. The proposed algorithm utilizes dynamic programming (DP) technique to optimize the power flows in the system to meet the load demand, achieve maximum utilization of the solar energy available, minimize fuel consumption and increase battery life cycle, simultaneously. Results are demonstrated and compared with the rule-based algorithm and the superiorities of the proposed algorithm are verified.