2008
DOI: 10.1016/j.ijepes.2007.07.006
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Protection scheme for a distribution system with distributed generation using neural networks

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Cited by 103 publications
(44 citation statements)
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“…The feed forward multi-layer perceptron neural networks were used for calculation of the operating times of over current relays for various TDS. In [63], an automated fault location method was discussed which was developed using a two stage radial basis function neural network (RBFNN). In this method, first RBFNN determines the fault distance from each fault source and second RBFNN identifies the exact faulty line.…”
Section: Fuzzy and Neural Network Based Methodsmentioning
confidence: 99%
“…The feed forward multi-layer perceptron neural networks were used for calculation of the operating times of over current relays for various TDS. In [63], an automated fault location method was discussed which was developed using a two stage radial basis function neural network (RBFNN). In this method, first RBFNN determines the fault distance from each fault source and second RBFNN identifies the exact faulty line.…”
Section: Fuzzy and Neural Network Based Methodsmentioning
confidence: 99%
“…These methods can also be applied to active distribution systems; however, they are typically time consuming and must be executed after any change in the topology of the distribution system. 2) Intelligent methods: Genetic Algorithm (GA) [84], ANN [85][86][87], and fuzzy systems are some of the intelligent-based techniques that have been proposed for relay coordination in the presence of DGs.…”
Section: Adaptive Protection Schemesmentioning
confidence: 99%
“…So, using this proportion, i.e. the relation of injected fault current of various resources as the input of the Neural Network (NN), the impact of the fault impedance will decrease to its lowest amount [12]. It can be observed that this method is applicable on distribution networks that include DG.…”
Section: Determining Fault Locationmentioning
confidence: 99%