Probabilistic Optimal Power Flow for Loss Minimization in DC Microgrids.
DC Microgrids; Probabilistic Power Flow; Probabilistic Optimal Power Flow; Uncertainties; Unscented Transform.
This paper introduces a Probabilistic Optimal Power Flow (POPF) methodology to minimize power losses in Direct Current (DC) Microgrids. Load uncertainties are modeled using the Normal Distribution, while the Unscented Transform is utilized for resolving the proposed methodology. Evaluating a 10-bus DC microgrid demonstrates the precision and computational efficiency of the proposed POPF method, especially when compared to outcomes obtained through Monte Carlo Simulation.