Dynamic Phasor Estimation of Power Signals and Its Designing in LabVIEW

The proposed method deals with an adaptive technique for accurate phasor estimation of power signals contaminated with harmonics as well as inter-harmonics and noise which will be useful for system protection, control and state monitoring, energy quality monitoring and instrumentation. The proposed model uses Levenberg-Marquardt algorithm with PSO tuning for the accurate estimation of the phasors of the power signals. The proposed technique also functions actively for precise evaluation of changes in the phase angles as well as amplitude of the harmonics and inter harmonics along with situations arising due to high noise. The algorithm is robust towards any changes in the dynamics of the signals or distortions produced due to noise and harmonics. In the proposed model presented in the paper, `Particle Swarm Optimization' has been applied to update the learning rate of ADALINE which provides the best performance in presence of dynamic variations. For accurate estimation of phasor of the current or voltage signals containing faults, the proposed algorithm for the same has been designed in NI LabVIEW.