Improving Profile Parameters of the Power System Network using Krill Herd Algorithm with FACTS device: UPFC
In the electric power system the optimal power flow plays a key role in optimal location, steady state operation point, minimization of generation cost, losses etc. Large Power transmission networks are facing lot of problems to improve the power profiles, improvement of losses, security constraints, and stability issues. The advent of Flexible AC Transmission System (FACTS) devices has led the controlling capabilities to improve the power profiles. Out of these Unified Power Flow Controller (UPFC) has the capability to improve all the three system variables namely line reactance, magnitude and phase angle difference of voltage across the line simultaneously or individually. Many natural inspired algorithms have implemented to solve the optimal power flow with incorporation of UPFC. The main scope of this paper is to implement the KRILL HEARD ALGORITHM (KHA) a novel meta-heuristic approach which is influenced from the herding actions of the krill swarms search for food or communication with each other. Considering the generator buses play down the real power losses, generator bus voltages and reactive power injection. The proposed KRILL HEARD ALGORITHM based optimal power flow has been tested for the IEEE 14- 30 bus systems. The results have been presented clearly for the proposed algorithm with and without incorporation of UPFC. Proposed algorithm results have been compared with GA, PSO, FF and ABC algorithms.
