20th Iranian Conference on Electrical Engineering (ICEE2012) 2012
DOI: 10.1109/iraniancee.2012.6292412
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A novel scheme for distance protection of series compensated transmission lines with TCSC using artificial neural networks

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Cited by 9 publications
(4 citation statements)
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“…The system parameters used for simulation are given in table (1) in Appendix. In this system the TCSC is placed in the middle of the transmission line as per the single line diagram shown in Fig.…”
Section: Simulation and Resultsmentioning
confidence: 99%
“…The system parameters used for simulation are given in table (1) in Appendix. In this system the TCSC is placed in the middle of the transmission line as per the single line diagram shown in Fig.…”
Section: Simulation and Resultsmentioning
confidence: 99%
“…ANN is a simple, efficient and robust classification tool that can deal with non-linear inputs and can also be implemented in digital systems [52]. Using ANN, different methods are proposed for detection/zone identification and classification of faults in TCSC/UPFC compensated transmission lines [21,24,[53][54][55][56][57][58][59]. The relative merits and demerits of each of the reported methods are discussed below.…”
Section: Algorithms Based On Computational Intelligence Techniques Wimentioning
confidence: 99%
“…S. Jamali et al [43] have explained impact of MOV operating modes on measured impedance seen by the relays. Alireza Solat et al [44] discussed how the apparent impedance measured by the relay changes due to the operation of MOV at different fault conditions in a TCSC compensated transmission line and presents a novel scheme for protection of TCSC compensated transmission lines using artificial neural network. The proposed method uses a type of dynamic neural network called Time Delayed Neural Network (TDNN) to estimate the voltage across TCSC in the relay and compensates this voltage from the relay voltage signal to mitigate its effects on distance relays.…”
Section: E Metal Oxide Varsitor (Mov)affectsmentioning
confidence: 99%