Ortiz et al., 2016 - Google Patents

State estimation of power system based on SCADA and PMU measurements

Ortiz et al., 2016

Document ID
13019239874381680153
Author
Ortiz G
Colomé D
Puma J
Publication year
Publication venue
2016 IEEE ANDESCON

External Links

Snippet

A two stage state estimator (SE) of an Electric Power System (EPS) is presented in this paper. It combines SCADA (Supervisory Control and Data Acquisition) and PMU (Phasor Measurement Unit) measurements. This feature gives it more accuracy on estimation over …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • G01R31/343Testing dynamo-electric machines in operation
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems 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
    • Y02E60/72Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups
    • Y02E60/723Systems 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems 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
    • Y02E60/72Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups
    • Y02E60/727Systems 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
    • Y02E60/728Systems 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 the elements or equipments being or involving phasor measuring units [PMU]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/25Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
    • G01R19/2513Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems 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
    • Y02E60/76Computer aided design [CAD]; Simulation; Modelling
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Similar Documents

Publication Publication Date Title
Ortiz et al. State estimation of power system based on SCADA and PMU measurements
Pignati et al. Fault detection and faulted line identification in active distribution networks using synchrophasors-based real-time state estimation
Sivanagaraju et al. Uncertainty in transmission line parameters: Estimation and impact on line current differential protection
Sanchez-Ayala et al. Current trends on applications of PMUs in distribution systems
Kang et al. A fault-location algorithm for series-compensated double-circuit transmission lines using the distributed parameter line model
CN101750562B (en) Non-PMU measure point dynamic process estimation method based on flow equation sensitiveness analysis
US20150073735A1 (en) Method for adaptive fault location in power system networks
US20160116522A1 (en) Fully adaptive fault location method
Hwang et al. Identification of interarea modes from ringdown data by curve-fitting in the frequency domain
Alcaide-Moreno et al. Electric power network state tracking from multirate measurements
Decker et al. Experience and applications of phasor measurements to the Brazilian interconnected power system
Yin et al. Field measurement and analysis of frequency and RoCoF for low-inertia power systems
Lin et al. A signal-superimposed technique for fault location in transmission lines through IED measurements considering communication service failure
Paladhi et al. Accurate superimposed component estimation for improved relay performance during power swing
Alinejad et al. PMU-based distribution network load modelling using Harmony Search Algorithm
Farantatos et al. A predictive out of step protection scheme based on PMU enabled dynamic state estimation
Asprou et al. The use of a PMU-based state estimator for tracking power system dynamics
Chow et al. Preliminary synchronized phasor data analysis of disturbance events in the us eastern interconnection
Baldwin et al. Fault locating in distribution networks with the aid of advanced metering infrastructure
Kashyap et al. Reduced-order synchrophasor-assisted state estimation for smart grids
Aljazaeri et al. A Review of the Use of Phasor Measurement Units in Power System State Estimation
Ordonez et al. Prony-based on-line oscillation detection with real PMU information
Di Sarno et al. Power grid outlier treatment through Kalman filter
Khazraj et al. Addressing single and multiple bad data in the modern PMU-based power system state estimation
Zhang et al. Practical issues of implementation of linear state estimator in WECC