Abstract
In this paper, a novel and an easy approach is proposed for the on-line monitoring of the Available Transfer Capability (ATC), which is a necessary, significant and challenging task in the deregulated power system. The ATC is evaluated with and without contingencies at various load conditions for different load buses, using the conventional method (Repeated Power Flow) and the proposed Adaptive Neuro Fuzzy Inference System (ANFIS). The ANFIS network is trained with the training data of the conventional method and its performance is verified with the checking data. The comparative results of both methods indicate that the trained ANFIS network is best to use in an online environment of deregulated power system, in view of its computational procedure and simplicity in adapting to original system.
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Krishna, P.G., Manohar, T.G., Srinivas, G.N. (2010). Online Monitoring of Available Transfer Capability in Deregulated Power System Using Adaptive Neuro Fuzzy Inference System. In: Das, V.V., Stephen, J., Thankachan, N. (eds) Power Electronics and Instrumentation Engineering. PEIE 2010. Communications in Computer and Information Science, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15739-4_13
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DOI: https://doi.org/10.1007/978-3-642-15739-4_13
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