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Currently, research is being devoted towards the development of fast and precise maximum power point tracking (MPPT) methods for various photovoltaic (PV) applications. Due to rapidly varying solar irradiation and cell temperature, traditional MPPT algorithms are unable to track the optimum power from PV modules. In this paper, an analog circuitry-based fast and robust MPPT method utilizing a boost DC/DC converter is presented to improve the tracking capability. The mathematical model of a PV module and design expressions for converter elements are presented. To trace the desired maximum power point (MPP), a control law is derived by synthesizing the PV characteristic curves. The steady-state and transient responses of the PV-integrated boost converter are demonstrated under various conditions of source and load using the MATLAB/Simulink platform. Furthermore, a laboratory prototype is developed to validate the proposed control strategy in the real-time application. A satisfactory agreement has been exhibited among simulation and experimental results. The superiority of the proposed MPP tracker over different existing methods is investigated. Additionally, the proposed controller distributes the energy spectrum over a wider range of frequencies and simultaneously reduces the energy concentration at the clock frequency and its multiples, so that the effect of electromagnetic interference (EMI) is reduced for certain range of loads.

This paper describes a combined adaptive linear neural network and least mean M-estimate (ADALINE-LMM) algorithm for estimating the amplitude and phase of the individual harmonic contained in a distorted power system current signal. The weight vector of the ADALINE is updated iteratively by LMM algorithm. A Hampel’s three parts redescending M-estimator function is incorporated in the instantaneous cost function to provide thresholds for identifying and eliminating the effect of temporary fluctuation owing to the presence of impulsive noise. This type of combined approach shows more accurate and faster tracking capability than the combined ADALINE and variable step size least mean square (ADALINE-VSLMS) algorithm. In addition to this, the proposed algorithm is suggested in shunt hybrid active power filter (SHAPF) for extracting the harmonics and reactive power components from the distorted load currents. Extensive time domain simulation is carried out to evaluate the performance of the SHAPF for maintaining the power quality of a system under various demanding situations. Moreover, an experimental setup is developed in the laboratory for verification of the proposed control technique in a real-time application using a Spartan 3A DSP processor.