Optimal parameter setting of UPFC and real power generation using Cuckoo Search Algorithm

Abstract

In this piece of work, a new metaheuristic algorithm called Cuckoo Search Algorithm (CSA) has been implemented to solve the optimal power flow (OPF) problem for minimization of real power generation cost. An Unified Power Flow Controller (UPFC) has been integrated in the power system and henceforth the optimization of the generators has been performed to mitigate the generation cost. A UPFC is a combined shunt and series voltage converter type device used to reduce transmission line losses and to improve the voltage profile of the system. The CSA is one of the most efficient algorithms for solving single objective optimal power flow problems. The performance of the proposed method is tested on an IEEE 30 bus system and the results obtained have been compared to Genetic Algorithm (GA). CSA is found to give better results as compared to genetic algorithm (GA) in both without and with UPFC conditions.