Optimal Power Flow Based on PSO in Electrical Power System

This paper narrates an application of Particle Swarm Optimization (PSO) for economic load dispatch. The main objective function is to optimize the Fuel cost and Active power loss by considering the power flows within the allowable limits. The PSO is simple in concept and easy in implementation. It does not require any derivative information, sure and fast convergence. Moreover, the problem can be formulated as mixed-integer non-linear optimization problem (MNILP). Optimization of Fuel cost and Active power loss by adjusting the control variables such as generator voltage, transformer tap setting and other sources of reactive power such as shunt capacitor banks. The effectiveness of the proposed algorithm is tested on IEEE 14 bus system and their performances are compared with the results. The result shows that PSO can converge to optimum solution with higher accuracy in comparison with Evolutionary Programming (EP) method. The proposed PSO method is demonstrated and compared with Evolutionary Programming (EP) approach on the standard IEEE 14-bus system.