Lorentzian adaptive filter for controlling shunt compensator to mitigate power quality problems of solar PV interconnected with grid

B. Pragathi, Deepak Kumar Nayak, Ramesh Chandra Poonia

International Journal of Intelligent Information and Database Systems · 2020 · 43 citations · 0 references

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Concepts

TL;DR

Grid‑interconnected photovoltaic systems require advanced control to mitigate power quality issues such as harmonics and voltage regulation. The system employs a Lorentzian adaptive control algorithm to estimate reference grid current, uses a sliding‑window objective function to suppress impulsive effects, compensates neutral current with a zig‑zag transformer, implements incremental‑conductance MPPT for DC bus stability, and is modeled in MATLAB/Simulink. The Lorentzian adaptive filter achieves unit power factor, eliminates harmonics, balances loads, and compensates reactive and neutral currents while maintaining zero voltage regulation.

Abstract

The proposed system deals with Lorentzian norm-based Lorentzian adaptive control algorithm, grid interconnected photovoltaic (PV) system which consists of solar photovoltaic, boost converter, maximum power point tracking (MPPT) controlling PV system, ripple filter, voltage source converter (VSC), interfacing inductor and three phase nonlinear/linear loads. The reference grid current for voltage source converter section is estimated using Lorentzian adaptive control algorithm. The Lorentzian norm based on sliding window objective function with gain factor matrix to eliminate the impulsive effect. Neutral current compensation is achieved by three phase zig-zag transformer connected to PCC of solar grid. The proposed Lorentzian adaptive filter maintains unit power factor at grid, harmonic elimination, load balancing, reactive and neutral current power compensation for zero voltage regulation. In the proposed system maximum power point tracking technique using incremental conductance's algorithm is used for maintaining constant DC bus voltage. The Lorentzian adaptive filter algorithm is modelled in MATLAB along with Simulink.