Optimal Selection of Voltage Controlling Parameter in Uncertain Active Distribution Network

Nowadays, converter base generation (CBG) and charging infrastructure penetration are increasing rapidly in the distribution system. Thus, maintaining the voltage profile of the distribution system becomes a challenging task due to the uncertain characteristics of CBG, the number of EVs arriving at the charging stations (CS) and the power demand by the load. Therefore, in this article, the voltage profile is improved by choosing optimal voltage-controlling parameters. This is achieved through solving multi-objective optimal power flow (OPF) problem in a distribution system with CBG, like solar and wind. Further, the Modified Jaya (M-Jaya) algorithm has been used to solve the optimization problem by converting multi-objectives, such as minimization of line losses, minimization of voltage deviation and maximization of CBG output power, to a single objective function. Moreover, the state-based probabilistic model has been used to incorporate the stochastic characteristics of output from CBG, the number of EVs arriving at the CS and power demand by the load in the OPF. The numerical test of the multi-objective optimal power flow with the proposed state-based probabilistic model has been done on enhanced IEEE-33 and IEEE-123 unbalanced test system by determining the optimal rating of voltage-controlling parameters for the 24 h (h) time period.