A novel power swing detection algorithm using adaptive neuro fuzzy technique

Any sudden change in the configuration or the loading of an electrical network causes power swing between the load concentrations of the network. Power swing can affect the distance relay performance by entering the impedance locus into protection zone of the relay causing unnecessary tripping. In this paper a novel technique to prevent the distance relay from tripping during power swing is presented. The presented method is based on adaptive neuro-fuzzy inference system (ANFIS) which has three inputs, include the rate of change of positive sequence current, active and reactive powers. Adaptive neuro fuzzy method is implemented utilizing MATLAB/ANFIS toolbox. For the purpose of testing a typical power network which is used in previous works is modelled in PSCAD software, a data set consisting of more than 2500 different power swing scenarios is also considered to guarantee the results are accurate in different conditions.