Hitachi, Ltd.

Vodafone Group Plc.

Vodafone K.k.

Aichi Steel Corporation

Other

Ajinomoto Co., Ltd.

Polymatech Co., Ltd.

Softbank Mobile Corp.

Otsuka Electric Co., Ltd.

National Institute of Technology and Evaluation

Jun Yamazaki

Hirohisa Kusuda

Daisuke Tsujino

Yasuhiro Nishide

Masahiro Yatsu

Osamu Tomobe

Yasuo Sato

Eisuke Kuroda

Sumito Tobe

Takashi Katayama

Michiharu Yamamoto

Yoshinobu Honkura

Tohru Watanabe

Masaki Mori

Masato Utsumi

Toshiyuki Sawa

Toshiro Matsumura

Ikuo Shigemori

Kouichi Hara

Eiji Kako

Daisuke Hamaba

Shigeki Mori

Norifumi Nishikawa

Hiroaki Ogawa

Mariko Okude

Tomohiko Nagao

Yoshihiro Usuda

Tomoaki Hiruta

Hikaru Kouta

Hideyuki Ikeda

Bo Yang

Eiichiro Kimura

Hsiu-Khuern Tang

Takahiro Matsushita

Mineko Moroto

Tatsuki Inuduka

Kojin Yano

Yosuke Nishio

Taichiro Kawahara

Hiroshi Iimura

Mika Takata

Kenta Kirihara

Yuki Furukawa

Shuichiro Sakikawa

Mitsuru Ohta

Haruki Miyoshi

Alex Wang

Hiroo Horii

Kazuho Ikeo

Takashi Gojobori

Akira Tsubota

Kikuo Fujiwara

Norio Senda

Shinji Nagashiro

Ryota Koga

Yoji Nakamura

Hisanori Teshima

Yutaka Kawarabayashi

Yumi Hino

Eiichi Hori

Yoshiaki Kohtani

Kazuki Namba

Tetsu Ito

Yosuke c/o Ajinomoto Co Inc Nishio

Eiichiro c/o Ajinomoto Co Inc Kimura

Kazuho c/o National Institute Of Genectis Ikeo

Yoji c/o National Institute Of Genectis Nakamura

Yoshihiro c/o Ajinomoto Co Inc Usuda

A system performs factor selection processing, which includes performing a factor selection operation for selecting one or two or more factors from one or a plurality of factors; factor filtering processing which includes: determining, about each of the one or the plurality of factors before the factor selection processing is performed, whether a factor value for prediction input to a prediction model is within a range of a plurality of factor values for specimen used to identify the prediction model; and excluding a factor, a result of the determination of which is false, and outputting a factor not excluded; and prediction processing which includes calculating the prediction value of the prediction target by inputting, to the prediction model, a factor value for prediction about each of one or more factors including the factor selected in the factor selection processing and not including the factor excluded in the factor filtering processing.

Prediction system and prediction method

An estimation system generates, from a value of a time series of an estimation object in a past period, a plurality of patterns of a transition of a value of the estimation object. Based on the plurality of generated patterns and a value of a time series of a factor in the past period, the estimation system specifies a dependency relationship between a transition pattern and a value of the factor and a transition pattern at a past (or future) time point and identifies a model in accordance with the specified dependency relationship. By inputting a value of a time series of the factor in a future period to the estimation model, the estimation system specifies a time series of a value in the future period of the estimation object using at least one transition pattern.

Estimation system and estimation method

A three-dimensional object formation instruction apparatus receives information pertaining to distribution of a predetermined physical quantity in a three-dimensional space, and on the basis of the received information, determines a shape of a representation body representing the physical quantity, and then, on the basis of the received information, determines a position at which the representation body representing the physical quantity is to be arranged. The three-dimensional object formation instruction apparatus generates a three-dimensional object formation instruction including an instruction to form an object having the determined shape at the determined position, and outputs the generated instruction.

Three-dimensional object formation instruction apparatus, three-dimensional object production method, and program

A platoon traffic system includes a plurality of platoons including vehicles on and from which passengers board and exit, and an operation management apparatus setting an operation schedule including assignment of the vehicles to the plurality of platoons and management thereof. The vehicles in each of the platoons integrally operate in accordance with the operation schedule along a track including boarding and exiting points where passengers board and exit the vehicles The operation management apparatus accepts a boarding request for the vehicles, the request specifying the boarding and exiting points, and changes the operation schedule to reassign the vehicles belonging to the plurality of platoons, among the platoons based on the boarding request and numbers of passengers allowed to board the vehicles.

Platoon traffic system and platoon traffic control method

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.

System operation support device and method in power system, and wide-area monitoring protection control system

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.

System stability monitoring device and system stability monitoring system

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.

Similarity detection of abnormal waveforms using PMU measurement

A voltage stability monitoring device, which monitors voltage stability of a power system, 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, calculates the voltage stability using the assumed change scenario, calculates a voltage stability margin indicating margin degree of the voltage stability, based on the voltage stability selects an assumed change scenario with high severity of the voltage stability for each assumed change scenario, based on the voltage stability margin calculates which buses in the power system are vulnerable buses that decrease voltage stability, based on the assumed change scenario which is selected, and changes a monitoring target of the voltage stability, based on information of the vulnerable bus.

Voltage stability monitoring device and method

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.

System stabilization control device and power system control system

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.

System stability monitoring apparatus and method

The present invention monitors an electric power system using a time-series measurement value including abnormality. An electric power system monitoring device is provided with: a storage unit that stores facility information indicating a position relationship of a plurality of measurement sites in an electric power system; a reception unit that receives time-series measurement information measured by a measurement device disposed at each of the plurality of measurement sites; and a computation unit that acquires an electrical distance between the plurality of measurement sites on the basis of the facility information, classifies the plurality of measurement sites into at least one measurement site group on the basis of the electrical distance, extracts, with respect to each of the measurement sites in the measurement site group, a frequency component of electric power fluctuation from the measurement information, selects, with respect to a first frequency component which is a frequency component of a first measurement site in the measurement site group, a second frequency component which is a frequency component of a second measurement site in the measurement site group, and calculates a similarity between the first frequency component and the second frequency component.

Electric power system monitoring device and electric power system monitoring system

In administration based on the existing (N&#x2212;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.

Power system monitoring apparatus, power system control apparatus, and power system monitoring method employing events of assumable breakdowns and assumable output changes

A plurality of forecast weather groups in a period comprising a plurality of days including a forecast target day for forecasting the electric power demand, and a plurality of actual weather groups in a period in a plurality of days in the past are set as the target period, and the similarity between the forecast weather group and the plurality of actual weather groups is calculated, a trend of a subsequent electric power demand is predicted based on the comparison of the plurality of calculated similarities whereby the electric power demand of a forecast target day is known.

Forecast system and method of electric power demand

A power system management device which manages a system state in a power system includes a system state candidate calculation unit for calculating state amounts of the system state based on an objective function from system characteristic information indicating characteristic information of a system structure, an inter-state distance calculation unit for calculating an inter-state distance representing a similarity of values between state amounts of the system state calculated by the system state candidate calculation unit, and a variability evaluation value calculation unit for calculating a variability evaluation value in which a variability of the system state is evaluated, based on an objective function value calculated from the state amount of the system state calculated by the system state candidate calculation unit and the inter-state distance calculated by the inter-state distance calculation unit. The system state is selected based on the calculated variability evaluation value.

Power system management device and method

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.

Estimating the locations of power system events using PMU measurements

Growing community of inventors

Tokyo, Japan

Jun Yamazaki