This Special Issue aims at collecting new research contributions and perspectives on the topic of... more This Special Issue aims at collecting new research contributions and perspectives on the topic of the monitoring and automation of modern power systems [...]
Phasor Measurement Units are the most advanced instruments for power network monitoring, since th... more Phasor Measurement Units are the most advanced instruments for power network monitoring, since they allow phasors, frequency and rate of change of frequency (ROCOF) to be measured in predetermined time instants with respect to an absolute time reference. The employed estimation algorithm plays a key role in overall performance under off-nominal conditions; the challenge to be faced is combining high steady-state accuracy with fast responsiveness in dynamic conditions, small reporting latency and reduced computational burden. Under regular operation, AC power networks are weakly unbalanced three-phase systems. Based on this consideration, the recent literature has proposed native three-phase estimation algorithms that effectively exploit this property to accurately identify the positive sequence synchrophasor, frequency and ROCOF. In this respect, the present paper describes three among the most promising three-phase algorithms based on the Space Vector transformation. By means of nu...
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2001
Multi Source Neural Networks ... is practically feasible thanks to the use of a NN architecture d... more Multi Source Neural Networks ... is practically feasible thanks to the use of a NN architecture designed to integrate multiple features, exploiting ... to local changes within a particular band with significant advantages in speaker-dependent isolated phoneme recognition pronounced ...
Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)
E-learning is the one possible evolution of traditional teaching techniques and is becoming a mat... more E-learning is the one possible evolution of traditional teaching techniques and is becoming a mature technology. Several commercial suites are available to author multimedia courses either to be distributed in physical form (e.g. on CD or DVD) or to be used on-line. However the application of these suites to the instrumentation and measurement courses and in general to courses that
2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS), 2014
The synchrophasor Standard IEEE C37.118.1, along with its amendment, defines two compliance class... more The synchrophasor Standard IEEE C37.118.1, along with its amendment, defines two compliance classes for phasor measurement units (PMUs), the different test signals to be adopted for verification and the limits that should be respected for each test condition. In recent years, many synchrophasor estimation algorithms have been proposed to deal with the operative conditions identified by the standard, that can be both steady state and dynamic. The research has shown that some disturbances, such as interharmonic interfering signals, can seriously degrade synchrophasor measurement accuracy. In this work, a new two-stage approach, relying on Compressive Sensing (CS) and Taylor Fourier Transform (TFT), is proposed to identify the most relevant interfering components in the signal spectrum and to limit their impact on synchrophasor estimation. Simulation results are reported to confirm the algorithm efficiency.
This Special Issue aims at collecting new research contributions and perspectives on the topic of... more This Special Issue aims at collecting new research contributions and perspectives on the topic of the monitoring and automation of modern power systems [...]
Phasor Measurement Units are the most advanced instruments for power network monitoring, since th... more Phasor Measurement Units are the most advanced instruments for power network monitoring, since they allow phasors, frequency and rate of change of frequency (ROCOF) to be measured in predetermined time instants with respect to an absolute time reference. The employed estimation algorithm plays a key role in overall performance under off-nominal conditions; the challenge to be faced is combining high steady-state accuracy with fast responsiveness in dynamic conditions, small reporting latency and reduced computational burden. Under regular operation, AC power networks are weakly unbalanced three-phase systems. Based on this consideration, the recent literature has proposed native three-phase estimation algorithms that effectively exploit this property to accurately identify the positive sequence synchrophasor, frequency and ROCOF. In this respect, the present paper describes three among the most promising three-phase algorithms based on the Space Vector transformation. By means of nu...
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 2001
Multi Source Neural Networks ... is practically feasible thanks to the use of a NN architecture d... more Multi Source Neural Networks ... is practically feasible thanks to the use of a NN architecture designed to integrate multiple features, exploiting ... to local changes within a particular band with significant advantages in speaker-dependent isolated phoneme recognition pronounced ...
Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)
E-learning is the one possible evolution of traditional teaching techniques and is becoming a mat... more E-learning is the one possible evolution of traditional teaching techniques and is becoming a mature technology. Several commercial suites are available to author multimedia courses either to be distributed in physical form (e.g. on CD or DVD) or to be used on-line. However the application of these suites to the instrumentation and measurement courses and in general to courses that
2014 IEEE International Workshop on Applied Measurements for Power Systems Proceedings (AMPS), 2014
The synchrophasor Standard IEEE C37.118.1, along with its amendment, defines two compliance class... more The synchrophasor Standard IEEE C37.118.1, along with its amendment, defines two compliance classes for phasor measurement units (PMUs), the different test signals to be adopted for verification and the limits that should be respected for each test condition. In recent years, many synchrophasor estimation algorithms have been proposed to deal with the operative conditions identified by the standard, that can be both steady state and dynamic. The research has shown that some disturbances, such as interharmonic interfering signals, can seriously degrade synchrophasor measurement accuracy. In this work, a new two-stage approach, relying on Compressive Sensing (CS) and Taylor Fourier Transform (TFT), is proposed to identify the most relevant interfering components in the signal spectrum and to limit their impact on synchrophasor estimation. Simulation results are reported to confirm the algorithm efficiency.
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Papers by Paolo Pegoraro