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
fDate :
7/1/2012 12:00:00 AM
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;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2011.2168571