Power Quality Feature Modelling of Waveform Disturbances for Distribution System Diagnosis

2018 4th International Conference on Environment and Renewable Energy

生态环境科学;能源学

Moon, Sang-Keun^1,2 ; Lee, Jong-Hyuk^2 ; Lim, Hong-Rok^2 ; Oh, Sang-Won^2 ; Seo, Dae-Won^2 ; Kim, Jin-O^2

Korea Power Electric Cooperation Research Institute (KEPCO), Daejeon, Korea, Republic of^1

Department of Electrical Engineering, Hanyang University, Seoul, Korea, Republic of^2

关键词: Abnormal operation;    Distribution systems;    Fault recognition;    Field data;    Filtering process;    Quality features;    Trigger conditions;    Wave forms;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/159/1/012022/pdf
DOI  :  10.1088/1755-1315/159/1/012022

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper presents a Power Quality (PQ) modelling and filtering processes for the distribution system disturbance recognition learning. typical PQ waveforms with mathematical applications and gathered field data are applied to our models. The process has modules to obtain the waveforms of incipient failures or abnormal operations, trouble condition waveforms in the distribution system through feature extraction and trigger condition techniques. In this regard, we found that proposed extraction criteria of determination rules can interact suitably with our parameter update method to detect and containing the waveforms. Therefore, the recurring analysis can classify the event conditions and ensures disturbance and fault recognitions which containing the waveform information.