Mitigation of total harmonic distortion on micro hydro power plant based electronic load controller using active harmonic filter with ANFIS controller

Micro Hydro Power Plant (MHPP) is a type of renewable energy plant that has the potential to continue to be developed in Indonesia. In operation, the MHPP will generally have a more stable output power when using an Electronic Load Controller (ELC) compared to the Power System Stabilizer (PSS) and Governor Control. ELC can produce a faster response in stabilizing the frequency due to load changes. However, it results in quite high harmonics in the output power, which can cause damage to electronic loads. The aim of this study is to develop an ELC with lower harmonics evenly at the output power when the consumer load fluctuates. The harmonic level is suppressed by adding an active harmonic filter (AHF) to the ELC. An Artificial Neural Fuzzy Inference System (ANFIS) control system was added to improve AHF performance to make it more optimal. The proposed control scheme is simulated using MATLAB Simulink. The simulation results show that the AHF can function properly in suppressing harmonics when there is a load change. Then, the presence of ANFIS in the control scheme can suppress harmonics even better. The combination of AHF and ANFIS on the ELC was able to improve the quality of the MHPP output power.