Wide Area Protection of Power Systems using daptive Neuro-Fuzzy Inference Systems
Publish place: 27th International Power System Conference
Publish Year: 1391
Type: Conference paper
Language: English
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Document National Code:
PSC27_003
Index date: 8 January 2013
Wide Area Protection of Power Systems using daptive Neuro-Fuzzy Inference Systems abstract
Complexity of power system operation conditions needs new methods in all areas. Wide Area Protection (WAP) is one of attractive features in new studies that uses collected data from whole of power system for protection aims. This paper, describes using Adaptive Neuro-Fuzzy Inference systems (ANFIS) in WAP for power systems. Proposed idea has been implemented on IEEE-8 busbars electric network that contains 7 transmission lines. Network simulating is performed in Alternating Transient Program (ATP). ANFIS architect is produced by MATLAB. Results obtained from simulations, represent the validity of the proposed idea in WAP. In other words, the proposed technique can be used as an algorithm which increases efficiency for wide area protection of power system.
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