Title :
Survey and development on fault diagnosis in distribution network with distributed generators
Author :
Li YaJie ; Meng Xiaoli ; Song Xiaohui
Author_Institution :
China Electr. Power Res. Inst., Beijing, China
Abstract :
The access of distributed generator (DG) is inevitable in the construction of smart distribution network, but it will cause original fault-diagnosis methods failure. In this paper, based on deeply analysis of diagnosis information structure in distribution network with DGs, study fruits within the domain at home and abroad are surveyed. Firstly, from the aspects of accuracy and rapidity, the main evaluation index and impact factors for fault diagnosis methods are pointed out. Then, the paper analyzes the basic concepts, general principles, sources of information and implementations about fault diagnosis in distribution network with DGs, and classifies the existing technology at home and abroad into three categories including matrix operation type, indicator comparison type and intelligent reasoning type. The principle, merit and demerit, application and limitations are researched separately for each type. In the end, problems in today´s technology are pointed out and prospects are made for further development.
Keywords :
distributed power generation; fault diagnosis; matrix algebra; power distribution faults; diagnosis information structure analysis; distributed generator; evaluation index; fault diagnosis; indicator comparison; intelligent reasoning; matrix operation; smart distribution network; Artificial neural networks; Circuit faults; Cognition; Distributed power generation; Fault location; Power systems; distributed generator; distribution network; fault diagnosis; indicator comparison; intelligent reasoning; matrix operation;
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
DOI :
10.1109/APAP.2011.6180377