Computational intelligence based control of cascaded H-bridge multilevel inverter for shunt active power filter application

Abstract

This work proposes computational intelligence based control of five-level cascaded H-bridge inverter (5LCHB) for an application of shunt active power filter (SAPF) to reduce total harmonic distortion (THD) in supply current under nonlinear loads. Active and reactive power (PQ) method is used to extract reference currents. The proposed controller is effectively verified for three different carrier based pulse width modulation methods such as phase disposition (PD), phase opposition disposition (POD) and alternate phase opposition disposition (APOD). The required rules for fuzzy logic controller (FLC) are set by human brain computation. The performance of computational intelligence based FLC is implemented and is verified for reduction of THD under nonlinear loads. The DC voltage balance is achieved using the proposed controller. The proposed work is carried out in the environment of Matlab Simulink. The comparative performance analysis of THD in source current, individual harmonics (5th, 7th, 11th, and 13th), power factor (PF), real power, and reactive power compensation (RPC) for APOD, POD and PD using both PI and FLC are presented.