Impact of ROCOF-based Islanding Detection on the Stand-Alone Operation of a Distributed Synchronous Generator

Author(s):  
Artur B. Piardi ◽  
Rodrigo B. Otto ◽  
Liciane Otremba ◽  
Daniel Motter ◽  
Ahda P. G. Pavani ◽  
...  
2019 ◽  
Vol 13 (4) ◽  
pp. 4344-4354 ◽  
Author(s):  
Srete Nikolovski ◽  
Hamid Reza Baghaee ◽  
Dragan Mlakic

Author(s):  
Illuru Sree Lakshmi

Abstract: An islanding detection and based control strategy is created in this exploration to accomplish the steady and independent activity of microgrids using the neural network based Virtual Synchronous Generator (VSG) idea during unplanned grid reconfigurations . Maybe of utilizing a design-orientedmethodology, this paper gives a rigorous and extensive hypothetical investigation and reaches a concise conclusion that is easy to execute and successful even in complex situations. Based on the results of the mutation sequence and voltage wavering, a neural network based islanding identification calculation is proposed, which requires less constraint strategy. The proposed neural network approach outperforms the thefrequency measured passive detection method in terms of detection speed and reliability. Broad recreations affirm the reasonableness of the proposed islanding location and control methodology. Additionally, think about the results of the reproductions for the PI regulator, fluffy organizations, and neural organizations. Keywords: Virtual Synchronous Generator, Islanding detection, Islanding operation, Droop control, Stability, Microgrids.


2019 ◽  
Vol 34 (2) ◽  
pp. 457-466 ◽  
Author(s):  
Reza Bekhradian ◽  
Mahdi Davarpanah ◽  
Majid Sanaye-Pasand

1999 ◽  
Vol 119 (1) ◽  
pp. 6-13
Author(s):  
Jun Motohashi ◽  
Takashi Ichinose ◽  
Tadao Ishikawa ◽  
Chikashi Nakazawa ◽  
Hiroyuki Fukai ◽  
...  

2014 ◽  
Vol 2 ◽  
pp. 170-173
Author(s):  
Tsuyoshi Higuchi ◽  
Yuichi Yokoi

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