Firefly Algorithm Based Simulation of Optimal Reactive Power Planning With SVC Devices

Abstract

At present, there is a rising load demand for electric power which can lead to major problems, such as voltage collapse, blackout, grid outage. The most important constraint in the power systems is a huge transmission capability joint through a voltage shape surrounded by the boundary at which consumers function. To overcome from this problem reactive power planning are carried out. The reactive power scheduling solution is modelled as a solo purpose optimization solution there by the active power losses to be reduced. VAR scheduling is the best possible distribution of reactive control devices like FACTS Devices (SVC) considering location and size. Firefly Algorithm finds the global finest solution in the course of two processes: Attractiveness and Brightness. In the proposed problem, FA has been implemented to find the best possible distribution of SVC devices for reducing the real power losses. A case study with IEEE fourteen& thirty bus systems is applied to demonstrate the effectiveness of the proposed technique.