Wide Area Protection of Power Systems using daptive Neuro-Fuzzy Inference Systems

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.

Keywords:

Wide area protection , Adaptive Neuro-Fuzzy Inference System , Fault type recognition