Power quality improvement at nonlinear loads using transformer‐less shunt active power filter with adaptive neural fuzzy interface system supervised PID controllers.

Summary: The extensive embedding of electronic components in modern applications enhances the scale of miniaturization and smart automation in AC power driven electrical and electronic devices. Most of the applications in smart home and industries constitute nonlinear load components at large level. Moreover, the nonlinearity of such components causes severe harmonic distortion, performance deviation and the high probability of system failure. The several higher‐order harmonics generated by the nonlinear load causes depreciation in system efficiency. This affects the performance characteristics and sensitivity of highly sophisticated AC power driven electronic systems in household and industrial applications. In this paper, an efficient adaptive neural fuzzy interface system (ANFIS) supervised PID controlled shunt active power filter (APF) is designed to suppress the unwanted presence of harmonics in nonlinear load applications. The reference current signal and control switching is administered by ANFIS technique to facilitate optimized PID action in conventional shunt APF. The transient and steady‐state response is monitored to observe system feasibility of inadequate real‐time applications. This scheme contributes, the soft computing design algorithm to control the total harmonic distortion (THD) in nonlinear load system with significant THD reduction coefficient without deviating the system complexities. The proposed filtering technique reduces the THD from 92.23% to 0.49% and improves the power factor to 0.99 for fixed nonlinear load parameters. The power quality control technique elicits novel improvement in the elimination of THD in reference to IEEE 519 standards. [ABSTRACT FROM AUTHOR]