Title :
Hybrid SFS and Q-f Islanding Detection Method for inverter-based DG
Author :
Vahedi, H. ; Noroozian, R. ; Jalilvand, A. ; Gharehpetian, G.B.
Author_Institution :
Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran
fDate :
Nov. 29 2010-Dec. 1 2010
Abstract :
Sandia Frequency Shift (SFS) Islanding Detection Method (IDM) has been widely applied to inverter-based distributed generators due to its small Non-Detection Zone (NDZ). The NDZ of the SFS is highly depends on its design parameters. In this paper, a new hybrid islanding detection method has been introduced, which is based on SFS and Q-f droop curve methods. The optimal SFS configuration is calculated by using instability criterion of phase angle and Bacterial Foraging Algorithm. The results are verified on MATLAB / Simulink environment.
Keywords :
distributed power generation; invertors; optimisation; power generation protection; MATLAB-Simulink; Q-f droop curve methods; bacterial foraging algorithm; inverter-based distributed generators; islanding detection method; non-detection zone; sandia frequency shift; Bacterial Foraging Algorithm; Distributed Generation; Sandia Frequency shift; inverter; islanding;
Conference_Titel :
Power and Energy (PECon), 2010 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-8947-3
DOI :
10.1109/PECON.2010.5697665
