Fuzzy-neuro approach to fault classification for transmission line protection

作者:
H WangWWL Keerthipala

关键词:
control system analysis computing control system synthesis fault location fuzzy control fuzzy neural nets learning (artificial intelligence) neurocontrollers power system analysis computing power system control power system protection

摘要:
This paper presents a new approach to real-time fault detection and classification in power transmission systems by using fuzzy-neuro techniques. The integration with neural network technology enhances fuzzy logic systems on learning capabilities. The symmetrical components in combination with three line currents are utilized to detect fault types such as single line-to ground, line-to-line, double line-to-ground and three line-to-ground, and then to define the faulty line. Computer simulation results are shown in this paper and they indicate this approach can be used as an effectiv

在线下载

相关文章:
在线客服:
对外合作:
联系方式:400-6379-560
投诉建议:feedback@hanspub.org
客服号

人工客服,优惠资讯,稿件咨询
公众号

科技前沿与学术知识分享