Islanding Detection Based on S-Transform and Neural Network
The passive methods have a large nondetection zone(DNZ)and a long detecting time.In addition,the threshold of the passive method is difficult to set.However,the active method will affect the power quality.So,an novel islanding detection method based on S-transform(ST)and neural network was proposed.In this method,ST was adopted to extract feature vector from the voltage of the point of common coupling(PCC),and then the feature vector is sent to the neural network after training to determine whether islanding occured.The simulation results show that the islanding can be detected accurately and quickly even when the power is perfectly matched,and in the presence of disturbances such as grid voltage fluctuation,harmonic disturbance,load switching,grid fault,etc.Avoid the problem of false tripping caused by various disturbances.
Islanding Detection S Transform Neural Network Nondetection Zone
Weishi Man Zongyao Zhu Zhiyu Zhang Ruwei Ma Jianhua Wang
Automation & Information Engineering,Xian University of Technology,Beilin District,Jinhua Road Number 5,Xian,Shanxi Province,China
国际会议
杭州
英文
29-36
2017-04-15（万方平台首次上网日期，不代表论文的发表时间）