Performance Evaluation of Seven Level Reduced Switch ANPC Inverter in Shunt Active Power Filter With RBFNN-Based Harmonic Current Generation

Abstract

One of the serious issues that a Power System faces is the Power Quality (PQ) disturbance which occur mainly because of the non-linear loads. Among these PQ disturbances, harmonics play a vital role which should to be mitigated along with reactive power compensation. In this paper, a modified seven-level boost Active-Neutral-Point-Clamped (7LB-ANPC) inverter is utilized as a Shunt Active Power Filter (SAPF). Another vital aspect of this work is to retain the link voltage across the capacitor, which is accomplished through a PI controller tuned with an Adaptive Neuro-Fuzzy Inference System (ANFIS). An adaptive instantaneous p-q theory is instigated in the direction of extracting reference current and the harmonic extraction is carried out by using Radial Basis Function Neural Network (RBFNN). Gating sequence of inverter is generated for the outputs, which are attained from ANFIS and RBFNN and thus the opposite harmonics are injected to the Point of Common Coupling (PCC) by which current harmonics are eliminated with reactive power compensation. The 7Lb-ANPC inverter has a minimized number of switching devices with low switching losses and high boosting ability. By RBFNN based reference current generation, the source current THD of 0.89% is achieved. The proposed methodology is simulated through MATLAB and in hardware by utilizing FPGA Spartan 6E.

Keywords

• Power quality
• shunt active power filter
• multi-level inverters
• active-neutral-point-clamped inverter
• radial basis function neural network
• adaptive neuro-fuzzy inference system