IEEE Conference Proceedings Power Industry Computer Applications Conference, 1979. PICA-79.
DOI: 10.1109/pica.1979.720045
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A Microcomputer Based Symmetrical Component Distance Relay

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Cited by 33 publications
(7 citation statements)
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“…IV. FUTURE DEVELOPMENTS Literature [7], [8] present a symmetrical component based distance relay (SCDR), another paradigm for distance relaying modeling that really allows to take full advantage of the proposed method, since GDSC output naturally provides FFPS and FFNS measurements. Additionally, the use of the SCDR allows reducing the computational burden of the algorithm, since a single performance equation enables identifying the faulty phases and calculating the distance to the fault.…”
Section: B Applying a Real Disturbancementioning
confidence: 99%
“…IV. FUTURE DEVELOPMENTS Literature [7], [8] present a symmetrical component based distance relay (SCDR), another paradigm for distance relaying modeling that really allows to take full advantage of the proposed method, since GDSC output naturally provides FFPS and FFNS measurements. Additionally, the use of the SCDR allows reducing the computational burden of the algorithm, since a single performance equation enables identifying the faulty phases and calculating the distance to the fault.…”
Section: B Applying a Real Disturbancementioning
confidence: 99%
“…In the early 1970s minicomputers were used for executing relay algorithms, but it was found very difficult to implement distance relaying algorithms due to delays in execution of instruction time. To overcome this problem Phadke et al [1] proposed the use of symmetrical components of voltages and currents to implement distance relay algorithms. This has led to the development of first phasor measurement unit (PMU) in 1988 by them at Virginia Tech [2], [3].…”
Section: Introductionmentioning
confidence: 99%
“…Basically, the estimation process of voltage and current signals, essential to calculate the impedance, involves the traditional algorithms based on Discrete Fourier Transform [3], symmetrical components [4], Kalman filtering [5], or orthogonal expansion [6]. A good review about this topic has been performed in [7].…”
Section: Introductionmentioning
confidence: 99%