Jiang et al., 2016 - Google Patents
Estimating inter-area dominant oscillation mode in bulk power grid using multi-channel continuous wavelet transformJiang et al., 2016
View PDF- Document ID
- 12140471554973505268
- Author
- Jiang T
- Bai L
- Li G
- Jia H
- Hu Q
- Yuan H
- Publication year
- Publication venue
- Journal of Modern Power Systems and Clean Energy
External Links
Snippet
This paper proposes a novel continuous wavelet transform (CWT) based approach to holistically estimate the dominant oscillation using measurement data from multiple channels. CWT has been demonstrated to be effective in estimating power system …
- 238000005259 measurement 0 abstract description 45
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
- Y02E60/72—Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups
- Y02E60/723—Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups the elements or equipments being or involving electric power substations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
- Y04S40/20—Information technology specific aspects
- Y04S40/22—Computer aided design [CAD]; Simulation; Modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
- G01R19/2513—Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/28—Testing of electronic circuits, e.g. by signal tracer
- G01R31/2832—Specific tests of electronic circuits not provided for elsewhere
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
- Y02E60/72—Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups
- Y02E60/727—Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups the elements or equipments being or involving measuring units
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jiang et al. | Estimating inter-area dominant oscillation mode in bulk power grid using multi-channel continuous wavelet transform | |
Chakrabortty et al. | A measurement-based framework for dynamic equivalencing of large power systems using wide-area phasor measurements | |
Trudnowski et al. | Performance of three mode-meter block-processing algorithms for automated dynamic stability assessment | |
Mai et al. | A dynamic synchrophasor estimation algorithm for online application | |
Li et al. | Interconnected power systems | |
Ma et al. | Extracting spatial-temporal characteristics of frequency dynamic in large-scale power grids | |
Wang et al. | Transmission lines positive sequence parameters estimation and instrument transformers calibration based on PMU measurement error model | |
Frigo et al. | Harmonic phasor measurements in real-world PMU-based acquisitions | |
Luan et al. | Energy theft detection via integrated distribution state estimation based on AMI and SCADA measurements | |
Kontis et al. | Modal analysis of active distribution networks using system identification techniques | |
Zuhaib et al. | Identification of low-frequency oscillation modes using PMU based data-driven dynamic mode decomposition algorithm | |
Cai et al. | An online data-driven method to locate forced oscillation sources from power plants based on sparse identification of nonlinear dynamics (SINDy) | |
Yang et al. | Synchrophasor-based dominant electromechanical oscillation modes extraction using OpDMD considering measurement noise | |
Xu et al. | Real-time damping estimation on nonlinear electromechanical oscillation | |
Jiang et al. | Synchrophasor measurement‐based correlation approach for dominant mode identification in bulk power systems | |
Karpilow et al. | Step change detection for improved ROCOF evaluation of power system waveforms | |
Chintakindi et al. | WAMS challenges and limitations in load modeling, voltage stability improvement, and controlled island protection—a review | |
Betancourt et al. | A spatio-temporal processing Padé approach for visualizing harmonic distortion propagation on electrical networks | |
Leelaruji et al. | Voltage stability monitoring using sensitivities computed from synchronized phasor measurement data | |
Tsai et al. | Analysis of wide-area frequency measurement of bulk power systems | |
Zhang et al. | Observability and estimation uncertainty analysis for PMU placement alternatives | |
Jiang et al. | Synchrophasor measurement-based modal analysis in power grids | |
Lin et al. | Synchrophasor-based Online State Estimated in Large-scale Power Grid | |
Yang et al. | Extracting inter-area oscillation modes using local measurements and data-driven stochastic subspace technique | |
Messina et al. | Wide-area PMU data monitoring using spatio-temporal statistical models |