Distributionally Robust Optimization-Based Stochastic Operation Strategy of MVDC System in Distribution Networks

This study proposed a stochastic optimization-based operation strategy of medium-voltage dc (MTDC) system which can regulate power flows in distribution networks (DNs). We considered the uncertainty from forecast errors of photovoltaic (PV) and load output, using distributionally robust chance constrained optimization method. For optimally operating the MTDC system in DNs, the proposed method stochastically relaxes the reliability constraints on the bus voltage and branch power flow, to maximize the cost-benefit of the DNs. Through numerical comparisons of the simulation results, we showed that the distribution system operator can achieve economic efficiency for imported electricity by relaxing conservativeness in reliability of DNs.