Power Quality Enhancement in PV Fed UPQC using Adaptive Lizard Algorithm
Abstract
Nowadays distributed generation (DG) is gaining more importance to fulfill the required demand for electrical power by overcoming the effects on the environment with the utilization of fossil fuels. Power quality (PQ) is the major issue affecting consumers and utilities. PQ issues mainly occur with renewable energy sources (RES) when integrated into the grid with the help of power electronic devices. A unified power quality conditioner (UPQC) is widely used to mitigate the PQ issues caused due to abnormal voltage, current, or frequency. In this paper, PV-fed UPQC with an Adaptive Lizard Algorithm (ALA) is introduced. ALA-based PI controller is designed to maintain constant DC link voltage of the UPQC for the elimination of harmonics. The proposed system is designed using MATLAB/Simulink tool and performances were studied. Various cases such as sag, swell, and total harmonic distortion (THD) were analyzed. The results of the proposed system show the best performance when compared with the various other traditional methods such as Fuzzy logic controller (FLC), Adaptive fuzzy logic controller (AdFLC), Sliding mode controller (SMC), and Synergetic controller (SC). The obtained results of the PV-fed UPQC mitigate voltage sag, swell effectively, and compensate the harmonics adhering to IEEE-519 standards.
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DOI (PDF): https://doi.org/10.20508/ijsmartgrid.v9i1.407.g378
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