An Improved Adaptive Control Strategy in Grid-Tied PV System With Active Power Filter for Power Quality Enhancement

Abstract

This article investigates the power quality enhancement of a grid-tied photovoltaic (PV) distribution system by employing a fuzzy logic proportional-integrator-derivative multiple complex coefficient filter multiple second-order generalized integrator frequency-locked loop (FLPID-MCCF-MSOGI-FLL) hybrid control scheme based shunt active power filter. The MSOGI-FLL reference current generation strategy is implemented to mitigate the current harmonics by extracting the fundamental constituents (FCs) from the nonlinear load currents, whereas an MCCF is employed to separate the FC from the distorted grid voltages and eliminates the voltage harmonics during extremely polluted grid voltage condition. The main objective of using FLPID is to maintain the stable power between dc and ac sides by regulating the dc-link voltage constant under transient conditions. To track the maximum power from the PV panel under varying environmental condition, the particle swarm optimization based perturb and observe technique is used in this article. The comparative analysis is analyzed to check the effectiveness of the proposed hybrid control scheme with existing and adaptive control techniques in respect of power quality, better dc offset rejection, better FC and frequency extraction, and grid synchronization. The system with the proposed control scheme is simulated on MATLAB/Simulink and validated in a real-time field-programmable gate array platform under different test scenarios. In conclusion, the harmonic content of grid currents and voltages is found well within the IEEE-519 standard limits.Index Terms-Active power filter (APF), fuzzy logic proportional-integrator-derivative (FLPID), maximum power point tracking (MPPT), multiple complex coefficient filter (MCCF), multiple second-order generalized integrator frequency-locked loop (MSOGI-FLL), particle swarm optimization (PSO), perturb and observe, photovoltaic (PV) system, power quality, total harmonic distortion (THD).

Harmonic Voltage Control in Distributed Generation Systems Using Optimal Switching Vector Strategy

“…Different research work are reported in the past decade for power quality improvement in grid interfaced DERs, both for single-phase and three-phase DERs. These are broadly classified into two categories-selective methods for harmonic mitigation [4][5][6][7] and non-selective methods [8][9][10][11][12]. The selective harmonic mitigation techniques generally use multiple proportional-integral (PI) regulators in rotating frame, individually for each harmonic, thereby involving dqtransformations.…”

“…The non-selective approaches generally use hysteresis controllers [8][9][10], dead-beat controllers [11] and the repetitive controllers [12][13]. The power quality improvement in the distribution system using the hysteresis current control techniques are widely reported, which have used indirect current control technique, where the grid current is controlled by feeding only the fundamental component of local load currents.…”

Development of Control Techniques Using Modified Fuzzy Based SAPF for Power Quality Enhancement

“…The fuzzy logic controller has the probability of using divergent types of speed adjustable signals. Some of these selections offer high precision and are correspondingly vigorous to parameter modification [25][26][27].…”

Design of robust self‐tuning regulator adaptive controller on single‐phase full‐bridge inverter

“…In [28], an adaptive hybrid control is designed which the limitations discussed in adaptive based controller of above papers have been solved by it and it illustrates a great robust performance in different working conditions, but has not been tested in noisy environments and has a higher amount of THD in comparison with the proposed method. In addition, a novel self‐tuning adaptive controller is proposed in [29] by the RLS method which tries to develop system stability by pole shift control strategy with on‐line parametric tuning, which makes a robust controller against parametric variations but is still vulnerable to noise and disturbances.…”