Abstract: This power system operation assisting device is provided with: a multiple signal frequency specifying unit that uses, as inputs, measured data of an object to be measured and a frequency specifying parameter for calculating a frequency component of the measured data to calculate an oscillation frequency; a generation source candidate calculation unit that uses, as an input, the calculated oscillation frequency to calculate a generation source candidate of an unstable oscillation occurring in a power system; a generation source guarantee test unit that calculates the guarantee test result of the generation source candidate; and a display unit that displays the oscillation frequency, the generation source candidate, and the guarantee test result.

Abstract: Example implementations described herein involve a hybrid spatial-temporal event probability prediction method and system configured to predict spatial-temporal event probability that can be utilized for short term planning. For systems such as utility systems that manage multiple locations over time, the example implementations utilize both a spatial model and a temporal model to create a hybrid spatial-temporal model that accounts for data taken over time as well as data across the locations to more accurately forecast the probability of an event occurrence over a period of time.

Abstract: The multi-time scale battery energy/storage system (BES) management framework proposed in the present disclosure can be used for day-ahead capacity scheduling and real-time BES operation control in the latest performance-based frequency regulation market. This multi-time scale BES management framework includes three control layers: long-term battery performance planning layer, day-ahead regulation capacity scheduling layer, real-time battery operation control layer. These three layers will coordinate with each other, and operate at different time scales.

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: This power system operation assisting device is provided with: a multiple signal frequency specifying unit that uses, as inputs, measured data of an object to be measured and a frequency specifying parameter for calculating a frequency component of the measured data to calculate an oscillation frequency; a generation source candidate calculation unit that uses, as an input, the calculated oscillation frequency to calculate a generation source candidate of an unstable oscillation occurring in a power system; a generation source guarantee test unit that calculates the guarantee test result of the generation source candidate; and a display unit that displays the oscillation frequency, the generation source candidate, and the guarantee test result.

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: On the basis of time-series data, a term-specific time-series data creation unit creates time-series data for each term that includes a derivative term; a linear sum generation unit generates, for each time point in the created time-series data, a raw value for the linear sum of the products of each term times a coefficient; a coefficient determination unit determines a coefficient for each term such that the total value of raw values for linear sums within the time interval or space interval covered by the time-series data is no greater than a set value, or approaches zero; and a governing equation output unit outputs, as a governing equation for the time-series data, the linear sum of the products of each coefficient determined by the coefficient determination unit times each term.

Abstract: The multi-time scale battery energy/storage system (BES) management framework proposed in the present disclosure can be used for day-ahead capacity scheduling and real-time BES operation control in the latest performance-based frequency regulation market. This multi-time scale BES management framework includes three control layers: long-term battery performance planning layer, day-ahead regulation capacity scheduling layer, real-time battery operation control layer. These three layers will coordinate with each other, and operate at different time scales.

Abstract: Example implementations described herein involve a hybrid spatial-temporal event probability prediction method and system configured to predict spatial-temporal event probability that can be utilized for short term planning. For systems such as utility systems that manage multiple locations over time, the example implementations utilize both a spatial model and a temporal model to create a hybrid spatial-temporal model that accounts for data taken over time as well as data across the locations to more accurately forecast the probability of an event occurrence over a period of time.

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 stabilization control device controls a control instrument within a power system on the basis of measurement information from a plurality of measurement points within the power system. The system stabilization control device includes an equipment information database storing information of system equipment interconnected with the power system; a control priority determining unit determining the control priority of the control instrument on the basis of the information of the system equipment; a control target determining unit determining a control target on the basis of the measurement information from the plurality of measurement points and the control priority; a destabilization time calculating unit calculating destabilization time of the power system from the measurement information from the plurality of measurement points; and a control time determining unit determining control time of the control instrument on the basis of the destabilization time and the information of the system equipment.

Abstract: When increasing the efficiency of an aggregation group which is a part of a power system aggregation process, the aggregation group is not optimum and a created aggregation model does not satisfy both low volume of calculations and high analysis accuracy. In order to solve this problem, a power system aggregation device includes: a fitness evaluation function library in which two or more aggregation fitness evaluation functions are stored; and a processing unit which obtains an aggregation fitness from a detailed system model using the aggregation fitness evaluation functions, creates an aggregation group from the aggregation fitness, and creates an aggregation system model from the aggregation group. The processing unit calculates the aggregation fitness of two or more power system model constituent elements using two or more fitness evaluation functions, and creates the aggregation group on the basis of the aggregation fitness of the power system model constituent elements.

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: The present invention monitors an electric power system using a time-series measurement value including abnormality.

Abstract: A system stabilization control device controls a control instrument within a power system on the basis of measurement information from a plurality of measurement points within the power system. The system stabilization control device includes an equipment information database storing information of system equipment interconnected with the power system; a control priority determining unit determining the control priority of the control instrument on the basis of the information of the system equipment; a control target determining unit determining a control target on the basis of the measurement information from the plurality of measurement points and the control priority; a destabilization time calculating unit calculating destabilization time of the power system from the measurement information from the plurality of measurement points; and a control time determining unit determining control time of the control instrument on the basis of the destabilization time and the information of the system equipment.

Abstract: The present invention monitors an electric power system using a time-series measurement value including abnormality.

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: 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: A power system data model conversion method, a power system data model conversion system and a power system data model conversion program which are to perform a fast power system analysis and used for a power system analysis capable of reducing inconsistency with another information system, wherein all instances used for the power system analysis are read out from a CIM database server which is commonly used on a power system information system, and a connected relation between instances is constructed while performing recursive retrieval. And, conversion processing of the data model is performed to integrate information necessary for the power system analysis and dispersed to extend over the plural classes of a CIM data model into one class.

Abstract: A power system data model conversion method, a power system data model conversion system and a power system data model conversion program which are to perform a fast power system analysis and used for a power system analysis capable of reducing inconsistency with another information system, wherein all instances used for the power system analysis are read out from a CIM database server which is commonly used on a power system information system, and a connected relation between instances is constructed while performing recursive retrieval. And, conversion processing of the data model is performed to integrate information necessary for the power system analysis and dispersed to extend over the plural classes of a CIM data model into one class.