Design and implementation of photovoltaic-assisted dynamic voltage restorer using fuzzy logic controller-based improved SOGI for power quality improvement

The manuscript proposes the design and implementation of a photovoltaic-assisted dynamic voltage restorer with fuzzy-logic control (FLC)-based Improved Second-order Generalized Integrator (I-SOGI) scheme to improve power quality (PQ) in the power system by using an enhanced approach. The proposed method utilizes Firebug Swarm Optimization (FSO) which is motivated by the reproductive swarming behavior of Firebugs. The swarming behavior of FSO is enhanced by using two operators called mutation and crossover. Hence, it is termed as Enhanced FSO (En-FSO) method. Power quality issues considered include harmonic distortions and voltage sag/swell. The Z-source inverter (ZSI) by compensating the dynamic voltage restorer (DVR's), fed voltage into the grid through a series transformer. Long-term balanced voltage sags, swells, unbalanced sags, swells, and interruptions of voltage are all offset by the ZSI-DVR. Using the suggested control method, the total harmonic distortion (THD) of load voltage is kept below 5%. The FLC-based I-SOGI control method for generating the reference signals for voltage compensation enhances a considerable parameter tweaking. The entire analysis demonstrates that the proposed FLC-based I-SOGI control technique effectively mitigates voltage sag, swell, and harmonics while supplying solar photovoltaic (SPV) power to the grid. The simulation and experimental verification of the proposed control algorithm successfully maintains pure sinusoidal load voltage in a variety of test conditions. The results are compared with existing methods to show the effectiveness of the proposed method.