{'fraction_non_alphanumeric': 0.028125, 'fraction_numerical': 0.014583333333333334, 'mean_word_length': 5.00625, '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}}
Power Control of DFIG in WECS Using DPC and NDPC-NPWM Methods

Received: 23 March 2020 Accepted: 27 May 2020 This work presents a power control for a doubly-fed induction generator (DFIG) using in the wind energy conversion system (WECS) connected to the grid. The proposed control strategy employs two control schemes, a traditional direct power control (DPC) and neural DPC (NDPC) with neural pulse width modulation (NPWM) technique to directly calculate the required rotor control voltage to eliminate the instantaneous errors of active and reactive powers. In this work the advantages of conventional DPC and NDPC-NPWM method are presented, the performance and robustness of these two strategies are compared between them. First, we present a model of wind turbine and DFIG machine, then a synthesis of the strategies and their application in the DFIG power control. Simulation results on a 1.5MW grid-connected DFIG system are provided by MATLAB/SIMULINK.