2010
DOI: 10.1109/tpwrd.2010.2051462
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An Innovative Loss-of-Excitation Protection Based on the Fuzzy Inference Mechanism

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Cited by 80 publications
(77 citation statements)
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“…Majority of LOE protection studies seek a proficient way to increase the speed of relay response. In a paper [17], the operation time of relay is reduced to 0.5 s, using fuzzy logic. Investigations in Reference 18 showed the LOE protection in isolated systems with induction motor.…”
Section: Loss Of Excitation (Loe) Relaymentioning
confidence: 99%
“…Majority of LOE protection studies seek a proficient way to increase the speed of relay response. In a paper [17], the operation time of relay is reduced to 0.5 s, using fuzzy logic. Investigations in Reference 18 showed the LOE protection in isolated systems with induction motor.…”
Section: Loss Of Excitation (Loe) Relaymentioning
confidence: 99%
“…In view of this continuing concern over relay performance, a general study was launched to review the performance of the offset mho Loss of Excitation (LOE) relay different system conditions. Subsequently, many approaches and algorithms have been addressed to solve the generators Loss of Excitation (LOE) problem such as: a) Fuzzy inference mechanism based technique [16]. b) ANN based technique [17].…”
Section: Loss Of Excitation Faults Detection In Hydro-generators Usinmentioning
confidence: 99%
“…Hence, most of the LOE articles are based on enhancing the safety of offset Mho distance protection and evaluating the impacts of the power network disturbances on these protections. These researches used different approaches, such as fuzzy inference, artificial neural networks and a support vector machine (SVM) to improve LOE protection [11][12][13]. For instance, Pajuelo et al [13] presented an SVM-based method for detection of LOE situations from other transient disturbances, which will not harm the generator.…”
Section: Literature Reviewmentioning
confidence: 99%