Computer equipment receives a phasor measurement unit (PMU) data stream captured by one or more PMUs in a power distribution system, the PMU data stream being time-synchronized to a global time source. The computer equipment receives a sensor data stream captured by a distribution sensor in the power distribution system, the sensor data stream not being time-synchronized to the global time source. The computer equipment applies dynamic time warping (DTW) processing to the sensor data stream and the PMU data stream to calculate a warping path that minimizes a DTW distance between signal shapes in the sensor data stream and corresponding signal shapes in the PMU data stream. The computer equipment performs monitoring, control, and/or event analysis using the warping path and/or the sensor data stream as warped in time according to the warping path to be time-aligned with the PMU data stream.
Contingency analysis is executed to simulate operation of an electrical power system under different contingencies that reflect an individual outage of different respective pieces of equipment in the system. For each of the different contingencies, it is quantified how impactful the individual outage of the respective piece of equipment would be to the system’s performance. For example, this may be quantified across multiple dimensions of performance, by calculating dimension-specific scores for the respective dimensions and synthesizing the dimension-specific scores into a unified criticality score for a piece of equipment. Regardless, the criticality scores for the pieces of equipment may better inform control of the electrical power system.
H02J 3/12 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
Contingency analysis is executed to simulate operation of an electrical power system under different contingencies that reflect an individual outage of different respective pieces of equipment in the system. For each of the different contingencies, it is quantified how impactful the individual outage of the respective piece of equipment would be to the system's performance. For example, this may be quantified across multiple dimensions of performance, by calculating dimension-specific scores for the respective dimensions and synthesizing the dimension-specific scores into a unified criticality score for a piece of equipment. Regardless, the criticality scores for the pieces of equipment may better inform control of the electrical power system.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable computer software for use in the analyzing of, managing of, automating of, and studying regulatory compliance of power and energy systems; Recorded computer software for use in the analyzing of, managing of, automating of, and studying regulatory compliance of power and energy systems. (1) Consulting services for others in the field of design, planning, and implementation project management of power and energy systems; Scientific and technological services, namely, research, development, engineering, design, planning, project review and assessment, project implementation and management, training, and regulatory support in the field of power and energy systems; Engineering design services in the field of power and energy systems; Research and development and consultation related thereto in the field of power and energy systems.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Consulting services for others in the field of design, planning, and implementation project management of power and energy systems; Scientific and technological services, namely, research, development, engineering, design, planning, project review and assessment, project implementation and management, training, and regulatory support in the field of power and energy systems; Engineering design services in the field of power and energy systems; Research and development and consultation related thereto in the field of power and energy systems
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable computer software for use in the analyzing of, managing of, automating of, and studying regulatory compliance of power and energy systems for utility companies; recorded computer software for use in the analyzing of, managing of, automating of, and studying regulatory compliance of power and energy systems for utility companies Consulting services for others in the field of design, planning, and implementation project management of power and energy systems for utility companies; scientific and technological services, namely, research, development, engineering, design, planning, project review and assessment, project implementation and management, training, and regulatory support in the field of power and energy systems for utility companies; engineering design services in the field of power and energy systems for utility companies; research and development and consultation related thereto in the field of power and energy systems for utility companies
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 10/20 - Administration of product repair or maintenance
An electric power system (10) is supplied at least in part by renewable energy sources (12). A method for managing storage of energy in such a system includes obtaining a stochastic model (16) that models probabilistic variability (22) in weather (20) across a sequence of time periods (P-1 . . . P-N) within a time horizon (18), each time period (P-n) being at least one day in duration. The method further includes determining, using the stochastic model (16), one or more values (24V) for one or more design or operational parameters (24) of the electric power system (10) that optimize a level of energy (L-1 . . . . L-N) stored by the electric power system (10) at each time period (P-1 . . . P-N) by minimizing an expected impact of renewable energy production variation occurring over the time horizon (18) due to the modeled probabilistic variability (22) in weather (20).
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
10.
Methods for Prescriptive Vegetation Management to Improve Energy Grid Reliability and Resilience
Methods for planning vegetation trimming for maintenance of an electric power distribution system. An example method comprises correlating normalized difference vegetation index (NDVI) data extracted from satellite imagery with electrical system outage data mapped to power distribution system line segments, to generate vegetation proxy index data spatially associated with said power distribution line segments. The example method further comprises predicting vegetation related outage events and/or numbers of customers affected by device protective zone, based on the vegetation proxy index data, and identifying prioritized areas for vegetation management based on the predicted outage events and/or numbers of affected customers.
Controller equipment for an electric vehicle (EV) comprises an EV communication controller (EVCC) configured with programmable logic that controls communication between the EV and an electric vehicle supply equipment (EVSE). The controller equipment performs a diagnostic process to (i) diagnose a charging session error as being caused by non-conformance of communication between the EV and the EVSE to a governing standard; and (ii) determine a criticality of and/or a suggested fix for the non-conformance. The results of the diagnostic process may be provided to a user or control unit, so that the user or control unit can provide the controller equipment with instructions on how to handle the non-conformance. The controller equipment then dynamically adapts the programmable logic of the EVCC to handle the non-conformance, e.g., according to instructions received from the user or control unit.
A computing system obtains, for each of multiple devices, manufacturer-specific configuration data that is specific to a manufacturer of the device and that configures the device for protection, automation, or control of a power system. The computing system translates, for each of the devices, the manufacturer-specific configuration data for the device into generalized configuration data for the device that is manufacturer-agnostic. The computing system stores the generalized configuration data for each of the devices in a common data storage that is commonly accessible by applications configured to use the generalized configuration data to evaluate protection, automation, or control of the power system.
Relay configuration equipment helps configure a protective relay for single-ended traveling wave -based protection of an electric power system. The relay configuration equipment obtains relay settings for a protective relay specifying characteristics of traveling waves attributable to fault events that are to trip the relay. The relay configuration equipment performs event simulations, including fault events and non-fault events, in the electric power system under different configurations. The relay configuration equipment then iteratively adapts settings for the relay by, in each iteration, identifying characteristics of traveling waves attributed to the simulated event, applying settings to the characteristics to determine an observed local response of the relay to the event, and generating data comparing the observed local response with an expected local response. The relay configuration equipment revises settings for the relay based on this data, to realize a data-driven approach to protective relay configuration.
G01R 29/08 - Measuring electromagnetic field characteristics
H02H 6/00 - Emergency protective circuit arrangements responsive to undesired changes from normal non-electric working conditions using simulators of the apparatus being protected, e.g. using thermal images
H02H 7/26 - Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occurred
A cloud computing system is provided for testing a Distributed Energy Resource (DER) Management System (DERMS) that manages operation of DERs connected to a power system. The cloud system implements a DERMS testing platform on virtualized cloud computing resources of the system. The platform tests the DERMS and is modularized. In some embodiments, the DERMS is modularized into at least a simulation module and a communication module, where the simulation module is configured to simulate DER(s) of power system and the communication module communicatively interfaces DERMS with DER(s) via communication network(s). The simulation module also simulates the power system under test conditions as the DERMS manages operation of DER(s) via the communication module. The cloud computing system exposes the platform as a service for testing the DERMS under test conditions. The cloud system scales the resources allocated to the platform with the number of DER(s) simulated under different test conditions.
A method is disclosed for exporting a black-box model of an inverter-based resource or plant from a first software platform for use by a second software platform. The method comprises simulating, using the first software platform, instantaneous time-domain responses of the inverter-based resource or plant to respective conditions defined by a script, according to the black-box model. The method may further comprise generating training data from the instantaneous time-domain responses and the respective conditions. The method may further comprise, with the training data, training a machine learning model to model the inverter-based resource or plant, wherein the trained machine learning model is transparent as to its inner workings. The method may further comprise generating software code that represents the trained machine learning model in terms of software code usable for defining a custom model of the inverter-based resource or plant in the second software platform.
Protection control equipment of an electrical power system receives synchrophasor measurements. The synchrophasor measurements comprise time-synchronized measurements of current or voltage at respective nodes in the electrical power system. The protection control equipment, based on the synchrophasor measurements, calculates a measurement differential of each of one or more protection zones defined according to a tabular data structure that indicates which nodes in the electrical power system are inter-connected and/or which nodes bound and/or belong to which protection zone. The protection control equipment, for each of the one or more protection zones, controls protection of the protection zone against faults, based on the measurement differential calculated for that protection zone.
A method is provided for designing grounding equipment to account for interconnection of a distributed energy resource (DER) subsystem to an area electric power system (EPS). The method includes, for each of multiple possible modes of operation of the DER subsystem and/or for each of multiple possible sets of value(s) of unknown parameters), calculating a temporary overvoltage (TOV) level and/or a coefficient of grounding (COG) that would be associated with different possible grounding equipment designs. Here, the different possible designs comprise different possible grounding equipment types and/or different possible grounding equipment sizing configurations. The method also comprises determining, based on the calculated TOV levels and/or coefficients of grounding that would be associated with the different possible designs, a design that would meet a requirement on effectiveness of the grounding equipment across the multiple possible modes of operation and/or across the different possible sets of value(s) of the unknown parameter(s).
18.
AUTOMATED HIGH-SPEED POWER SYSTEM EVENT DETECTION AND CLASSIFICATION USING SYNCHROPHASOR DATA
Methods for detecting power system events in an electrical power system. An example method comprises determining a signal envelope for each of at least first and second power system signals and performing density-based spatial clustering of a series of points formed by combining respective values of the signal envelopes for at least the first and second power system signals. The example method further comprises detecting one or more power system events by identifying outlier points or groups of points in the spatial clustering. Some methods may further comprise automatically classifying power system events by collecting a data set comprising, for each detected power system event, power system signal features corresponding to the detected power system event, and classifying each of the detected power system events usingthe data set and a machine-learning-based classification algorithm, where said classifying comprises determining a classification label from among two or more predetermined classification labels.
A method is disclosed for exporting a black-box model of an inverter-based resource or plant from a first software platform for use by a second software platform. The method comprises simulating, using the first software platform, instantaneous time-domain responses of the inverter-based resource or plant to respective conditions defined by a script, according to the black-box model. The method may further comprise generating training data from the instantaneous time-domain responses and the respective conditions. The method may further comprise, with the training data, training a machine learning model to model the inverter-based resource or plant, wherein the trained machine learning model is transparent as to its inner workings. The method may further comprise generating software code that represents the trained machine learning model in terms of software code usable for defining a custom model of the inverter-based resource or plant in the second software platform.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
A method is provided for designing grounding equipment to account for interconnection of a distributed energy resource (DER) subsystem to an area electric power system (EPS). The method includes, for each of multiple possible modes of operation of the DER subsystem and/or for each of multiple possible sets of value(s) of unknown parameter(s), calculating a temporary overvoltage (TOV) level and/or a coefficient of grounding (COG) that would be associated with different possible grounding equipment designs. Here, the different possible designs comprise different possible grounding equipment types and/or different possible grounding equipment sizing configurations. The method also comprises determining, based on the calculated TOV levels and/or coefficients of grounding that would be associated with the different possible designs, a design that would meet a requirement on effectiveness of the grounding equipment across the multiple possible modes of operation and/or across the different possible sets of value(s) of the unknown parameter(s).
G06F 119/02 - Reliability analysis or reliability optimisationFailure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
G06F 119/06 - Power analysis or power optimisation
Equipment is provided for converting a phasor-domain model of a power system to a time- domain model. The equipment obtains the phasor-domain model and a raw file that represents a representable subset of parameters of the phasor-domain model. The equipment modifies the raw file as needed for the raw file to accurately represent the representable subset of parameters. The equipment generates a supplementary file that represents a non-representable subset of parameters of the phasor-domain model which is not representable by the raw file. The equipment also obtains a time-domain specific parameter file that represents parameters specific for modeling the power system in the time-domain. The equipment converts the phasordomain model to the time-domain model, based on the raw file as modified, the supplementary file, and the time-domain specific parameter file. The equipment may also perform fault simulation -based quality verification of the time-domain model.
A cloud computing system is provided for testing a Distributed Energy Resource (DER) Management System (DERMS) that manages operation of DERs connected to a power system. The cloud system implements a DERMS testing platform on virtualized cloud computing resources of the system. The platform tests the DERMS and is modularized. In some embodiments, the DERMS is modularized into at least a simulation module and a communication module, where the simulation module is configured to simulate DER(s) of power system and the communication module communicatively interfaces DERMS with DER(s) via communication network(s). The simulation module also simulates the power system under test conditions as the DERMS manages operation of DER(s) via the communication module. The cloud computing system exposes the platform as a service for testing the DERMS under test conditions. The cloud system scales the resources allocated to the platform with the number of DER(s) simulated under different test conditions.
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
23.
Data-Driven Single-Ended Traveling Wave-Based Protection of Distribution Systems
Relay configuration equipment helps configure a protective relay for single-ended traveling wave-based protection of an electric power system. The relay configuration equipment obtains relay settings for a protective relay specifying characteristics of traveling waves attributable to fault events that are to trip the relay. The relay configuration equipment performs event simulations, including fault events and non-fault events, in the electric power system under different configurations. The relay configuration equipment then iteratively adapts settings for the relay by, in each iteration, identifying characteristics of traveling waves attributed to the simulated event, applying settings to the characteristics to determine an observed local response of the relay to the event, and generating data comparing the observed local response with an expected local response. The relay configuration equipment revises settings for the relay based on this data, to realize a data-driven approach to protective relay configuration.
A computing system obtains, for each of multiple devices, manufacturer-specific configuration data that is specific to a manufacturer of the device and that configures the device for protection, automation, or control of a power system. The computing system translates, for each of the devices, the manufacturer-specific configuration data for the device into generalized configuration data for the device that is manufacturer-agnostic. The computing system stores the generalized configuration data for each of the devices in a common data storage that is commonly accessible by applications configured to use the generalized configuration data to evaluate protection, automation, or control of the power system.
Methods for detecting power system events in an electrical power system. An example method comprises determining a signal envelope for each of at least first and second power system signals and performing density-based spatial clustering of a series of points formed by combining respective values of the signal envelopes for at least the first and second power system signals. The example method further comprises detecting one or more power system events by identifying outlier points or groups of points in the spatial clustering. Some methods may further comprise automatically classifying power system events by collecting a data set comprising, for each detected power system event, power system signal features corresponding to the detected power system event, and classifying each of the detected power system events using the data set and a machine-learning-based classification algorithm, where said classifying comprises determining a classification label from among two or more predetermined classification labels.
Equipment is provided for converting a phasor-domain model of a power system to a time-domain model. The equipment obtains the phasor-domain model and a raw file that represents a representable subset of parameters of the phasor-domain model. The equipment modifies the raw file as needed for the raw file to accurately represent the representable subset of parameters. The equipment generates a supplementary file that represents a non-representable subset of parameters of the phasor-domain model which is not representable by the raw file. The equipment also obtains a time-domain specific parameter file that represents parameters specific for modeling the power system in the time-domain. The equipment converts the phasor-domain model to the time-domain model, based on the raw file as modified, the supplementary file, and the time-domain specific parameter file. The equipment may also perform fault simulation-based quality verification of the time-domain model.
A local electric power system (EPS) field tester is provided for field testing of a local EPS. The local EPS has distributed energy resources (DERs) and is capable of operating in conjunction with, or independently from, an external power system while supplying load(s). The local EPS field tester comprises local EPS testing equipment deployed in and/or on mobile deployment equipment. The local EPS testing equipment includes a gateway (for relaying signaling between the local EPS field tester and a local EPS controller of the local EPS), a power distribution busbar, and various switchgear including local EPS connection switchgear, DER connection switchgear, and load connection switchgear. The local EPS testing equipment further includes load controller equipment configured to emulate or simulate a load controller of the local EPS, according to signaling from the local EPS controller or an emulated or simulated SCADA/DMS system as relayed by the gateway.
G01R 19/25 - Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
A local electric power system (EPS) field tester is provided for field testing of a local EPS. The local EPS has distributed energy resources (DERs) and is capable of operating in conjunction with, or independently from, an external power system while supplying load(s). The local EPS field tester comprises local EPS testing equipment deployed in and/or on mobile deployment equipment. The local EPS testing equipment includes a gateway (for relaying signaling between the local EPS field tester and a local EPS controller of the local EPS), a power distribution busbar, and various switchgear including local EPS connection switchgear, DER connection switchgear, and load connection switchgear. The local EPS testing equipment further includes load controller equipment configured to emulate or simulate a load controller of the local EPS, according to signaling from the local EPS controller or an emulated or simulated SCADA/DMS system as relayed by the gateway.
G01R 1/20 - Modifications of basic electric elements for use in electric measuring instrumentsStructural combinations of such elements with such instruments
G01R 31/00 - Arrangements for testing electric propertiesArrangements for locating electric faultsArrangements for electrical testing characterised by what is being tested not provided for elsewhere
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
A method is disclosed for distributed energy resource (DER) and/or electrification capacity planning in a power system. The method includes obtaining, for each of multiple electrical nodes in a circuit model of the power system, parameters of a probability distribution function describing respective probabilities of different amounts of DERs and/or electrification being added at the electrical node. The method further comprises calculating an existing hosting capacity of the power system and/or infrastructure requirements to achieve a target hosting capacity of the power system, by solving an optimization problem that is subject to a reasonability constraint. The reasonability constraint constrains a distribution of amounts of DERs and/or electrification added at respective electrical nodes to being within a space of reasonable distributions which, according to the obtained parameters, each are within a defined confidence level. The method may also comprise reporting information associated with the existing hosting capacity and/or the infrastructure requirements.
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
A method is disclosed for distributed energy resource (DER) and/or electrification capacity planning in a power system. The method includes obtaining, for each of multiple electrical nodes in a circuit model of the power system, parameters of a probability distribution function describing respective probabilities of different amounts of DERs and/or electrification being added at the electrical node. The method further comprises calculating an existing hosting capacity of the power system and/or infrastructure requirements to achieve a target hosting capacity of the power system, by solving an optimization problem that is subject to a reasonability constraint. The reasonability constraint constrains a distribution of amounts of DERs and/or electrification added at respective electrical nodes to being within a space of reasonable distributions which, according to the obtained parameters, each are within a defined confidence level. The method may also comprise reporting information associated with the existing hosting capacity and/or the infrastructure requirements.
H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable computer software for commissioning, testing, and maintaining protective relays in electrical, power, and energy systems; recorded computer software for commissioning, testing, and maintaining protective relays in electrical, power, and energy systems (1) Scientific and technological services, namely, research, development, engineering, design, planning, and project implementation and management in the field of commissioning, testing, and maintaining protective relays in electrical, power, and energy systems, namely electricity and electric power generation, distribution, and transmission systems; technical consulting services in the field of commissioning, testing, and maintaining protective relays in electrical, power, and energy systems, namely electricity and electric power generation, distribution, and transmission systems; research and development and consultation related thereto in the field of commissioning, testing, and maintaining protective relays in electrical, power, and energy systems, namely electricity and electric power generation, distribution, and transmission systems
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
downloadable computer software for commissioning, testing, and maintaining protective relays in electrical, power, and energy systems; recorded computer software for commissioning, testing, and maintaining protective relays in electrical, power, and energy systems Scientific and technological services, namely, research, development, engineering, design, planning, and project implementation and management in the field of commissioning, testing, and maintaining protective relays in electrical, power, and energy systems; technical consulting services in the field of commissioning, testing, and maintaining protective relays in electrical, power, and energy systems; research and development and consultation related thereto in the field of commissioning, testing, and maintaining protective relays in electrical, power, and energy systems
A fault protection system is configured to detect a fault in an electric power system. The fault protection system obtains a differential measurement signal. The differential measurement signal may, for example, indicate, as a function of time, the difference between currents or voltages measured at two or more terminals or boundaries of a fault protection zone of the electric power system. Regardless, the fault protection system generates a fault detection signal by cross-correlating the differential measurement signal with a reference signal. The reference signal may for instance be the differential measurement signal that is expected upon occurrence of a fault. The fault protection system performs fault detection, for detecting a fault internal to the fault protection zone, as a function of the fault detection signal.
H02H 1/00 - Details of emergency protective circuit arrangements
H02H 3/04 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection Details with warning or supervision in addition to disconnection, e.g. for indicating that protective apparatus has functioned
H02H 3/26 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to difference between voltages or between currentsEmergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to phase angle between voltages or between currents
09 - Scientific and electric apparatus and instruments
Goods & Services
(1) Portable energy storage systems, namely, energy storage systems that comprise lithium-ion batteries integrated into a transportable enclosure together with control equipment for controlling the charging and discharging of the lithium-ion batteries for commercial, industrial, or utility use; energy storage systems comprised of lithium-ion batteries integrated into an enclosure together with components for charging the lithium-ion batteries
09 - Scientific and electric apparatus and instruments
Goods & Services
Portable supercapacitors, ultracapacitors, and batteries as energy storage systems, namely, commercial, industrial and utility-scale energy storage systems that are mobile; energy storage systems comprised of batteries and electronic components for charging and discharging the batteries; portable energy storage systems in the nature of supercapacitors, ultracapacitors, and batteries that incorporate an integrated microgrid controller
09 - Scientific and electric apparatus and instruments
Goods & Services
(1) Downloadable computer software for use in the designing of, operating of, analyzing of, managing of, and studying regulatory compliance of power generation, transmission, and distribution systems; Recorded computer software for use in the designing of, operating of, analyzing of, managing of, and studying regulatory compliance of power generation, transmission, and distribution systems.
09 - Scientific and electric apparatus and instruments
Goods & Services
Downloadable computer software for use in the designing of, operating of, analyzing of, managing of, and studying regulatory compliance of power generation, transmission, and distribution systems; Recorded computer software for use in the designing of, operating of, analyzing of, managing of, and studying regulatory compliance of power generation, transmission, and distribution systems
38.
PREDICTING VOLTAGE STABILITY OF A POWER SYSTEM POST-CONTINGENCY
A voltage stability prediction system (12) is configured to predict voltage stability of a power system (10) under a contingency. The voltage stability prediction system (12) in this regard may execute model-based contingency analysis using a model (18) of the power system (10) to predict, as of a first time (T1), voltage stability of the power system (10) post-contingency. The voltage stability prediction system (12) also obtains, from phasor measurement units (PMUs) (28) in the power system (10), synchrophasor measurements (26) that indicate, as of a second time (T2) later than the first time (T1), phasors in the power system (10) pre-contingency. Further, based on the model-based contingency analysis and the synchrophasor measurements (26), the voltage stability prediction system (12) predicts, as of the second time (T2), voltage stability of the power system (10) post-contingency.
H02J 3/12 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
H02J 3/24 - Arrangements for preventing or reducing oscillations of power in networks
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
39.
Monitoring voltage stability of a transmission corridor
A voltage stability monitoring apparatus monitors the voltage stability of a transmission corridor through which power flows between different parts of a power system. The apparatus monitors an equivalent load impedance at an interface between the transmission corridor and a part of the power system designated as generating the power. This equivalent load impedance at the interface comprises a ratio of a voltage phasor at the interface to a current phasor at the interface. The apparatus tracks a Thevenin equivalent voltage and impedance of the designated part by separately updating that voltage and impedance. Notably, the apparatus updates the imaginary part of the Thevenin equivalent voltage to reflect the magnitude of any changes in the voltage phasor that are associated with large variations in the magnitude of the equivalent load impedance at the interface. The apparatus computes an index indicating the voltage stability as a function of this tracked Thevenin equivalent voltage and impedance.
A voltage stability monitoring apparatus (8) monitors the voltage stability of a transmission corridor (6) through which power flows between different parts of a power system (2). The apparatus (8) monitors an equivalent load impedance at an interface between the transmission corridor (6) and a part of the power system (2) designated as generating the power. This equivalent load impedance at the interface comprises a ratio of a voltage phasor at the interface to a current phasor at the interface. The apparatus (8) tracks a Thevenin equivalent voltage and impedance of the designated part by separately updating that voltage and impedance. Notably, the apparatus (8) updates the imaginary part of the Thevenin equivalent voltage to reflect the magnitude of any changes in the voltage phasor that are associated with large variations in the magnitude of the equivalent load impedance at the interface. The apparatus (8) computes an index indicating the voltage stability as a function of this tracked Thevenin equivalent voltage and impedance.
G01R 27/32 - Measuring attenuation, gain, phase shift, or derived characteristics of electric four-pole networks, i.e. two-port networksMeasuring transient response in circuits having distributed constants
41.
MONITORING VOLTAGE STABILITY OF A TRANSMISSION CORRIDOR
A voltage stability monitoring apparatus (8) monitors the voltage stability of a transmission corridor (6) through which power flows between different parts of a power system (2). The apparatus (8) monitors an equivalent load impedance at an interface between the transmission corridor (6) and a part of the power system (2) designated as generating the power. This equivalent load impedance at the interface comprises a ratio of a voltage phasor at the interface to a current phasor at the interface. The apparatus (8) tracks a Thevenin equivalent voltage and impedance of the designated part by separately updating that voltage and impedance. Notably, the apparatus (8) updates the imaginary part of the Thevenin equivalent voltage to reflect the magnitude of any changes in the voltage phasor that are associated with large variations in the magnitude of the equivalent load impedance at the interface. The apparatus (8) computes an index indicating the voltage stability as a function of this tracked Thevenin equivalent voltage and impedance.
A voltage stability monitoring apparatus monitors the voltage stability of a transmission corridor through which power flows between different parts of a power system. The apparatus monitors an equivalent load impedance at an interface between the transmission corridor and a part of the power system designated as generating the power. This equivalent load impedance at the interface comprises a ratio of a voltage phasor at the interface to a current phasor at the interface. The apparatus tracks a Thevenin equivalent voltage and impedance of the designated part by separately updating that voltage and impedance. Notably, the apparatus updates the Thevenin equivalent voltage to reflect the magnitude of any changes in the voltage phasor that are associated with large variations in the magnitude of the equivalent load impedance at the interface. The apparatus computes an index indicating the voltage stability as a function of this tracked Thevenin equivalent voltage and impedance.
A voltage stability monitoring apparatus monitors the voltage stability of a transmission corridor through which power flows between different parts of a power system. The apparatus monitors an equivalent load impedance at an interface between the transmission corridor and a part of the power system designated as generating the power. This equivalent load impedance at the interface comprises a ratio of a voltage phasor at the interface to a current phasor at the interface. The apparatus tracks a Thevenin equivalent voltage and impedance of the designated part by separately updating that voltage and impedance. Notably, the apparatus updates the imaginary part of the Thevenin equivalent voltage to reflect the magnitude of any changes in the voltage phasor that are associated with large variations in the magnitude of the equivalent load impedance at the interface. The apparatus computes an index indicating the voltage stability as a function of this tracked Thevenin equivalent voltage and impedance.
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