This paper presents a new hybridized algorithm known as Firefly algorithm-based least square (FA-LS) method for power system harmonic estimation. It uses a Firefly algorithm-based approach to estimate the phases and a least-square method for estimating the amplitudes of the harmonic signals. The simulation results are presented to demonstrate the estimation accuracy of FA-LS with the recently proposed particle swarm optimization with passive congregation and artificial bee colony with LS algorithms. The obtained results of FA-LS reveal that this algorithm is best in terms of accuracy and computational time. Practical validation is also made with the experimentation of the algorithm with real-time data obtained from a switch mode power supply with the power quality analyzer and estimation is performed under simulating environment.

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accuracy mode power supply amplitudes of the harmonic firefly algorithmbased least square fals method phases power system harmonic computational time power quality analyzer leastsquare method artificial bee colony with ls algorithms particle swarm optimization with passive congregation hybridized algorithm realtime data

.Optimal estimation of power system harmonics using a hybrid Firefly algorithm-based least square method. 21 (7),1721–1734.

"Optimal estimation of power system harmonics using a hybrid Firefly algorithm-based least square method" 21

"Optimal estimation of power system harmonics using a hybrid Firefly algorithm-based least square method"