Fault Detection, Identification and Localization in medium-voltage networks using Fuzzy-Logic

Best fit membership function for designing fuzzy logic controller aided intelligent overcurrent fault protection scheme

“…No such scope analysis is presented to confirm the desired membership function. 16,19 Due to this, it is very difficult to actually ensure the perfect input membership function and output function. Apart from this, the triangular and trapezoidal membership functions are followed at the input side to ensure the reliable operation of the concerned relay.…”

“…Apart from this, the triangular and trapezoidal membership functions are followed at the input side to ensure the reliable operation of the concerned relay. 19 This selection usually reflects with a delay in detecting fault due to the nature of the equation as discussed in the article. (2) Few articles had taken membership function as Gaussian for the output function.…”

“…(3) Some articles have presented intelligent relaying by taking current and voltage as the two input variables for the fuzzy logic controller (FLC). 17,19 But not specified the actual base reason for which they have taken it as input function and implemented. This weakens the contribution of the article and confuses readers as well.…”

Single line to ground fault detection and location in medium voltage distribution system network based on neural network

“…The conventional algorithm cannot produce data as well as location for maintenance purposes in the some electrical systems. Implementation of a fuzzy or NN techniques will become more suitable [20], [21]. Simulation was carried out in the fuzzy logic implementation with a robust member function, where system can detecting and detailed provisions all kinds of shunt faults [22].…”