Title :
Available transfer capability (ATC) determination using intelligent techniques
Author :
Kumar, D. M Vinod ; Reddy, Narayan G. ; Venkaiah, Ch.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Warangal
Abstract :
In this paper ATC has been computed for real time applications using three different intelligent techniques viz., i) back propagation algorithm (BPA) ii) radial basis function (RBF) neural network and iii) adaptive neuro fuzzy inference system (ANFIS). The ATC is to be made available on open access same time information system (OASIS), which is accessible to seller and buyer. The independent system operator (ISO) updates the ATC in real time. The three different methods are tested on IEEE 24-bus reliability test system (RTS) and compared with the conventional full AC load flow method for the base case, different transactions and line outage cases
Keywords :
adaptive systems; backpropagation; electricity supply industry deregulation; fuzzy neural nets; fuzzy reasoning; load flow; power engineering computing; radial basis function networks; AC load flow; IEEE 24-bus reliability test system; adaptive neuro fuzzy inference system; available transfer capability; back propagation algorithm; independent system operator; intelligent technique; open access same time information system; power system deregulation; radial basis function neural network; real time application; Adaptive systems; Computer networks; Fuzzy neural networks; Fuzzy systems; Inference algorithms; Information systems; Intelligent networks; Neural networks; Real time systems; System testing;
Conference_Titel :
Power India Conference, 2006 IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-9525-5
DOI :
10.1109/POWERI.2006.1632590
