Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques
Switching surges can cause voltage conditions degradation, and this paper presents a new approach in their analysis. Besides the amplitude properties, regarding to power quality, it is important to know the structure of their harmonic spectrum. For that purpose, characteristic surges (energizatio...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2015-08-01
|
| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2015.03004 |
| _version_ | 1819021678290665472 |
|---|---|
| author | VUJOSEVIC, S. MUJOVIC, S. DAKOVIC, M. |
| author_facet | VUJOSEVIC, S. MUJOVIC, S. DAKOVIC, M. |
| author_sort | VUJOSEVIC, S. |
| collection | DOAJ |
| description | Switching surges can cause voltage conditions degradation, and this paper presents a new approach
in their analysis. Besides the amplitude properties, regarding to power quality, it is important
to know the structure of their harmonic spectrum. For that purpose, characteristic surges
(energization and deenergization of an unloaded 35 kV underground cable, energization of an
unloaded 10 kV underground cable and deenergization of a 10 kV overhead line, with a multiple
appearance of the arc between the circuit breaker contacts) were analyzed. The signals were
obtained by an experiment, so the occurrence of noise makes them much more complex to analyze
than the simulated ones. Their harmonic decomposition was performed by digital signal processing
methods - Empirical Mode Decomposition and Short Time Fourier Transform. The obtained results
were compared to the calculated ones, which allowed us to draw conclusions related to applied
methods efficiency and characteristic harmonics values that occur during the switching surges.
The performed analysis allows us to get a deeper insight into transient processes in the real
transmission power lines. The obtained results can be especially useful to detect the locations
of occurrence of various types of surges and for development of real-time power quality monitoring
systems. |
| first_indexed | 2024-12-21T04:10:55Z |
| format | Article |
| id | doaj.art-ca567e7f826c4a4e87bd12011ac9b71c |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-21T04:10:55Z |
| publishDate | 2015-08-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-ca567e7f826c4a4e87bd12011ac9b71c2022-12-21T19:16:27ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002015-08-01153233210.4316/AECE.2015.03004Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing TechniquesVUJOSEVIC, S.MUJOVIC, S.DAKOVIC, M.Switching surges can cause voltage conditions degradation, and this paper presents a new approach in their analysis. Besides the amplitude properties, regarding to power quality, it is important to know the structure of their harmonic spectrum. For that purpose, characteristic surges (energization and deenergization of an unloaded 35 kV underground cable, energization of an unloaded 10 kV underground cable and deenergization of a 10 kV overhead line, with a multiple appearance of the arc between the circuit breaker contacts) were analyzed. The signals were obtained by an experiment, so the occurrence of noise makes them much more complex to analyze than the simulated ones. Their harmonic decomposition was performed by digital signal processing methods - Empirical Mode Decomposition and Short Time Fourier Transform. The obtained results were compared to the calculated ones, which allowed us to draw conclusions related to applied methods efficiency and characteristic harmonics values that occur during the switching surges. The performed analysis allows us to get a deeper insight into transient processes in the real transmission power lines. The obtained results can be especially useful to detect the locations of occurrence of various types of surges and for development of real-time power quality monitoring systems.http://dx.doi.org/10.4316/AECE.2015.03004empirical mode decomposition methodharmonicspower qualityshort time Fourier transformswitching surges |
| spellingShingle | VUJOSEVIC, S. MUJOVIC, S. DAKOVIC, M. Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques Advances in Electrical and Computer Engineering empirical mode decomposition method harmonics power quality short time Fourier transform switching surges |
| title | Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques |
| title_full | Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques |
| title_fullStr | Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques |
| title_full_unstemmed | Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques |
| title_short | Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques |
| title_sort | analysis of real overvoltage disturbances by using nonstationary signal processing techniques |
| topic | empirical mode decomposition method harmonics power quality short time Fourier transform switching surges |
| url | http://dx.doi.org/10.4316/AECE.2015.03004 |
| work_keys_str_mv | AT vujosevics analysisofrealovervoltagedisturbancesbyusingnonstationarysignalprocessingtechniques AT mujovics analysisofrealovervoltagedisturbancesbyusingnonstationarysignalprocessingtechniques AT dakovicm analysisofrealovervoltagedisturbancesbyusingnonstationarysignalprocessingtechniques |