Computational intelligence technique for solving power scheduling optimization problem

Computational Intelligence technique has become a prominent technique in solving engineering optimization problem. One of the problems which can be addressed in this issue is problems related to power system optimization. This paper presents computational intelligence technique for solving power scheduling optimization problem. Evolutionary Programming technique has been applied to minimise total transmission loss; considering the scheduling of active power and controlling the reactive power as the main control variables. In this study, the control process of reactive power and scheduling of active power at all generators will help control the power flow in the system. This has given impact to the current flow which influences the total transmission loss. Validation through a reliability test system revealed its superiority. Verification performed through comparative studies with other optimization technique revealed that the proposed computational intelligence technique produced promising results.