Abstract
This paper presents an affective neuro – fuzzy controller (NFC) to improve the transient stability of multi-machine system with HVDC link. Fuzzy rules are used as neurons in artificial neural network (ANN) model. Excellent learning capability of ANN and heuristic fuzzy rules and input/output membership functions of fuzzy logic technique are optimally tuned from training examples by back propagation algorithm (BPA). Considerable time required for fuzzy inference system to match rules is saved using NFC. To illustrate the performance of NFC, transient stability study is carried out on a multi machine system and results are compared with conventional controller as well as fuzzy logic controller.
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