{'fraction_non_alphanumeric': 0.019184652278177457, 'fraction_numerical': 0.0, 'mean_word_length': 5.139705882352941, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Voltage-type active power line conditioner based on a novel neural network control scheme

The purpose of this paper is to propose a voltage-type active power line conditioner (APLC) with a neural network control using a fixed-frequency with variable-slope control method to obtain training data. The APLC is a type of active filter which is a very efficient apparatus for compensating harmonics caused by nonlinear loads. Simulations of the proposed APLC have been performed and compared to APLC with other means of control including constant frequency control, tolerance band control, sliding mode control and PWM control. The results show that the proposed APLC has lower current total harmonic distortion (THD), better power factor improvement, and less switching power loss than an APLC with the other control methods considered.