Title :
Comparative evaluation of current injection based islanding detection methods for distributed generation systems
Author :
Guo, Zhongnan ; Wang, Deyu ; Shen, Hong ; Wang, Huaibao
Author_Institution :
Key Lab. of Power Electron. for Energy Conservation & Motor Drive of Hebei Province, Yanshan Univ., Qinhuangdao, China
Abstract :
Anti-islanding (AI) function is a necessity for distributed generation systems. Current injection based AI methods have been widely used. However, too small current injection may fail to detect the islanding, while too large current injection will lead to the disturbance and poor power quality. On the other hand, d-axis or q-axis current injection can be used, and one may wonder which is preferred? Therefore, this paper presents a quantitative analysis of them from the performance comparative viewpoint. It is expected to provide a helpful guidance for designing the effective AI function for distributed generation systems.
Keywords :
distributed power generation; comparative evaluation; current injection based islanding detection methods; distributed generation systems; quantitative analysis; Artificial intelligence; Distributed power generation; Generators; Performance evaluation; Power quality; Q factor; Time frequency analysis;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1044-5
DOI :
10.1109/ICEMS.2011.6073841