Improving real-time power quality using ANFIS-controlled hybrid active filter for THD reduction

The major issue that impedes the successful transmission of electricity via low voltage systems has been the constant occurrence of harmonic distortion especially in the current, voltage and frequency signals. These distortions are generally as a result of operations of the non-linear loads that introduce signals that degrades the power quality. Additionally, electronic devices, generators, transformers and motors also generate distortions that resonates to increase system instability, voltage profile abnormality and increase in power flow congestions. To improve on the power quality of a real time network, this paper utilized a hybrid of active filter and adaptive neuro fuzzy inference system (ANFIS) control for the mitigation of the harmonic distortions in voltage, current and frequency signals in a 33 kV network located in the southern region of Nigeria. The network was modeled in MATLAB/Simulink with the active filter introduced afterwards. The outcome from the active filter was used as input data in the configuration of the ANFIS model. from the results generated, it was observed that in bus 6, The total harmonic distortion (THD) value without filter, with active filter and with the hybrid of active filter and ANFIS controller for voltage signal were 8.6042%, 4.732% and 1.1831% respectively. For current signal, it was 11.8467%, 5.331% and 1.3327% respectively while for frequency signal, THD was 7.1115%, 3.9113% and 0.9778% respectively. Hence, the implementation of hybrid active filter with ANFIS proved to be the best in improving the power quality via harmonic distortion reduction than the standalone active filter.