{'fraction_non_alphanumeric': 0.012678288431061807, 'fraction_numerical': 0.0, 'mean_word_length': 5.723404255319149, '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}}
Variable Pitch Controller Design Based Swarm Particle Optimizing Clonal Algorithm for Wind Power Generation System

In this paper, a new controller of the pitch angle of the wind turbine is designed based on particle swarm optimizing clonal algorithm(PSOCA), which combined the clonal selection mechanism of the immune system with the evolution equation of particle swarm optimization. The simulation results demonstrate that the proposed controller can efficiently and steady control the output power of the wind power generation system. Compared with the traditional PID controller, the controller has better control performance.