Nature Inspired Optimization Algorithm for Loading Shedding in Power System

Load shedding is considered as a last alternative to avoid the cascaded tripping and blackout in power systems during generation contingencies. It is essential to optimize the amount of load to be shed in order to prevent excessive load shedding. To minimize load shedding, this paper proposes the implementation of nature inspired optimization algorithm known as particle swarm optimization (PSO) algorithm. The optimal solution of steady state load shedding is carried out by squaring the difference between the connected and supplied power (active and reactive). The proposed algorithm is tested on IEEE 14 bus test system. The ability of the proposed method in terms of solution quality and convergence properties is compared with the Projected Augmented Lagrangian Method (PALM).