Optimal Selection of Voltage Controlling Parameter in Uncertain Active Distribution Network

Nowadays, the penetration of converter base Generation (CBG) is increasing rapidly in the distribution system. Thus, maintaining the voltage profile of the distribution system becomes a challenging issue due to the uncertain nature of renewable sources. Therefore, in this paper, the voltage profile is improved by choosing optimal voltage controlling parameters. This is achieved through a multi-objective optimal power flow in a distribution system with CBG like solar and wind power. Further, the Modified Jaya (M-Jaya) algorithm has been used to solve the optimization 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 formulated for CBG output power, which gives the probability of all possible output power from DGs for any specific time period. The numerical test of the multi-objective optimal power flow with the proposed state-based probabilistic generation model has been done on enhanced the IEEE-33 test system.