DocumentCode
1362111
Title
Design of Adaptive Autoreclosure Schemes for 132 kV With High Penetration of Wind—Part II: Real-Time Development and Testing
Author
Le Blond, Simon P. ; Aggarwal, Raj
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
Volume
27
Issue
3
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
1063
Lastpage
1070
Abstract
Following part 1, this paper describes the development and real-time testing of an adaptive autoreclosing scheme for a 132-kV system with high penetration of wind generation. Having previously established the real-time system model, this second part concentrates on the hardware and software tools used to build the relay development platform, the algorithm itself, and the testing of this algorithm. A results section documents tests of the neural-network-based algorithm and is shown to be 100% reliable. Further successful tests on a 400-kV system suggest that the algorithm is robust to other system configurations.
Keywords
neural nets; wind power plants; adaptive autoreclosing scheme; neural-network-based algorithm; real-time development; real-time testing; voltage 132 kV; voltage 400 kV; wind generation penetration; Artificial neural networks; Circuit faults; Real time systems; Resistance; Robustness; Transient analysis; Adaptive reclosing; power system protection; real-time simulation; transmission lines; wind generation;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/TPWRD.2011.2168571
Filename
6060939
Link To Document