A Novel Hybrid Optimization Algorithm for Optimal Power Flow with Unified Power Flow Controller

A.Immanuel, Dr.Ch.Chengaiah

OPF, Particle Swarm Optimization, Differential perturbed Velocity, Fuzzy, UPFC, L-Index.

This paper introduces Particle Swarm Optimization with Differential Perturbed Velocity (PSO-DV) to solve Optimal Power Flow for non-smooth fuel cost functions with Unified power Flow Controller. The proposed algorithm employs a strongly coupled differential operator borrowed from differential evaluation with velocity upgrade function of particle swarm Optimization. The UPFC is a new device from FACTS technology and has great flexibility in control of voltage magnitudes, angle and impedance of the line simultaneously. In this paper the strategic location of UPFC is found using Fuzzy approach by taking voltage magnitudes and voltage stability index(L-Index) as input parameters where L-Index is a real number which gives fair and consistent results for stability among different methods of voltage stability analysis. The control settings of UPFC are determined by PSO-DV. The IEEE-30 bus system is considered to test the feasibility of the proposed method with two objective functions that reflects fuel cost and fuel cost with valve point loading effects. The results shows the effectiveness of the proposed approach and provides better results compared to the existing results of other OPF methods.