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http://localhost:8080/xmlui/handle/123456789/1931| Title: | Available Transfer Capability (ATC) determination using intelligent techniques |
| Authors: | Kumar, D.M.V. Reddy, G.N. Venkaiah, Ch. |
| Keywords: | Intelligent Techniques ATC Power System Deregulation Real-Time Applications |
| Issue Date: | May-2006 |
| Publisher: | Power India Conference, 2006 IEEE |
| Citation: | 10.1109/POWERI.2006.1632590 |
| Abstract: | n 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 |
| Description: | NITW |
| URI: | http://localhost:8080/xmlui/handle/123456789/1931 |
| Appears in Collections: | Electrical Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Available Transfer Capability (ATC) determination using intelligent techniques.pdf | 179.44 kB | Adobe PDF | View/Open |
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