Abstract:
A voltage stability monitoring device for monitoring the voltage stability of a system, the device including: an assumed change scenario calculation unit for predicting the output variation of a renewable energy connected to said system and calculating an assumed change time-series power flow state on the basis of said output variation; a time-series voltage stability calculation unit for calculating a node voltage change with respect to demand at each node of said system on the basis of said power flow state calculated by said assumed change scenario calculation unit and calculating a voltage stability indicating the relationship curve between said node voltage and reactive power; and a voltage stability improvement countermeasure search unit for determining a controlled device on which an assumed control is to be performed, according to said voltage stability calculated by said time-series voltage stability calculation unit.
Abstract:
Example implementations described herein are directed to detection of historical anomalous events that are similar to currently occurring events in a transmission power system based on phasor management unit (PMU) data to provide information to grid operators with online decision support. From the high-resolution time synchronized PMU data, the historical events can be quickly retrieved and compared to the currently occurring event so that operators can be provided with remedy actions that were attempted in response to the historical events. Utilization of PMU information for such decision support may compliment operation practices relying on supervisory control and data acquisition (SCADA) measurements by allowing a much fast response to the currently occurring event. Accurate identification of similar, historical events can advise grid operators of the cause of disturbances and provide ideas for response. Implementations of the proposed technology may improve the resilience and reliability of the transmission power systems.
Abstract:
An object is to accurately monitor deterioration of current or future voltage stability, by dynamically changing a bus in which current or future voltage stability deteriorates, in stability monitoring calculation of a power system. Hence the present invention provides a voltage stability monitoring device, which monitors voltage stability of a power system, including an assumed change scenario calculation unit which produces a plurality of assumed change scenarios indicating a scenario of a change that is assumed based on at least one of a system configuration of the power system and a change of a tide state; a voltage stability calculation unit which calculates the voltage stability using the assumed change scenario; a voltage stability margin calculation unit which calculates a voltage stability margin indicating margin degree of the voltage stability, based on the voltage stability; an each scenario severity ranking calculation unit which selects an assumed change scenario with high severity of the voltage stability for each assumed change scenario, based on the voltage stability margin; a vulnerable bus calculation unit which calculates which of buses in the power system is a vulnerable bus that decreases voltage stability, based on the assumed change scenario which is selected; and a monitoring location change unit which changes a monitoring target of the voltage stability, based on information of the vulnerable bus.
Abstract:
An object of the invention is to provide a data processing system that can appropriately determine data to be used for identification of a prediction model. The data processing system that performs prediction using a prediction model, includes: a selection unit that selects data to be used for identification of a prediction model from a storage unit that stores data; and a processing unit that identifies the prediction model by using the data selected by the selection unit. The selection unit selects, from the storage unit, predetermined first data, and second data of a type and/or condition different from the first data, based on a branch condition of structure data of a structural prediction model.
Abstract:
Example implementations described herein are directed to detecting similarity between anomalous events that are currently occurring or have previously occurred transmission power system based on phasor management unit (PMU) data to provide information to grid operators with online decision support. From the high-resolution time synchronized PMU data, the events can be quickly retrieved and compared so that operators can be provided with remedy actions that were attempted in response to the previous events. Utilization of PMU information for such decision support may compliment operation practices relying on supervisory control and data acquisition (SCADA) measurements by allowing a much fast response to the currently occurring event. Accurate identification of similar, historical events can advise grid operators of the cause of disturbances and provide ideas for response. Implementations of the proposed technology may improve the resilience and reliability of the transmission power systems.
Abstract:
A system stability monitoring device monitors the stability of a power system and is equipped with: a storage unit for storing spot information indicating the positional relationship between a plurality of measurement spots in the power system; a receiving unit for receiving time-series measurement information measured by a measuring device provided at each of the measurement spots; and a calculation unit for detecting the frequency components of the power fluctuation from the measurement information, selecting, based on the frequency components, measurement spot group candidates that are measurement spots among the plurality of measurement spots, obtaining the electrical distances between the measurement spot group candidates on the basis of the spot information, and categorizing the measurement spot group candidates into at least one measurement spot group on the basis of the electrical distances.
Abstract:
A system operation support device in a power system stabilizes the power system and has a predicted accident time system state calculation unit that receives measured data, a system topology, and a target accident type as inputs, and calculates a system state and a predicted accident time system state. A control menu calculation unit receives the results of the predicted accident time system state as inputs and calculates a control menu. A restoration control means calculation unit receives the result of the control menu calculation as an input and calculates a restoration control procedure. A restoration prevention control procedure calculation unit receives the result of the restoration control and a target restoration time parameter as inputs and performs a power generator output adjustment time simulation, a necessary prevention control amount calculation, and a prevention control procedure calculation. A display unit displays the restoration control procedure and the prevention control procedure.
Abstract:
Example implementations described herein are directed to detection of anomalous events and locations on the transmission power system using phasor management unit (PMU) data, which provides information to grid operators for online decision support. From the high-resolution time synchronized PMU data, the transient abnormal events can be monitored and locations can be disclosed to operators for remedy actions. Utilization of PMU information for such decision support compliments operation practices relying on supervisory control and data acquisition (SCADA) measurements at much lower data resolution. Accurate identification of event locations can further advise grid operators the root cause of disturbances and illuminate possible cascading failures. Implementations of the proposed technology may improve the resilience and reliability of the transmission power systems.
Abstract:
When vibration information calculated using measurement information is classified using a distance between measurement points which is calculated using the point information, even in a case in which a plurality of vibration modes with close vibration frequencies are present at the same time, stability determination at a high speed and a high accuracy is realized. A system stability monitoring apparatus which monitors system stability of a power system includes a measurement information collecting unit that collects measurement information of a plurality of points in the power system, a vibration analyzing unit that calculates vibration information indicating vibration of a system state in the plurality of points using the measurement information, an information storage unit that stores point information including position information of the plurality of points, and a vibration classifying unit that classifies the vibration information based on the point information.
Abstract:
In administration based on the existing (N−1) reliability criteria, an appropriate administration plan may be not drafted in a power system in which renewable energy increases. Accordingly, according to the invention, a power system monitoring apparatus that monitors a power system includes: an input unit that inputs assumable system breakdown data including an occurrence frequency of each assumable breakdown of the power system and assumable output change data including an occurrence frequency of each assumable output change of each generator connected to the power system; and an output unit that generates conditions by which events of the assumable breakdowns and the assumable output changes are combined based on the occurrence frequencies of the assumable breakdown and the assumable output change and outputs a control plan for each of the conditions.