Power System Management Device and Method
    11.
    发明申请
    Power System Management Device and Method 有权
    电力系统管理装置与方法

    公开(公告)号:US20150084432A1

    公开(公告)日:2015-03-26

    申请号:US14461974

    申请日:2014-08-18

    Applicant: Hitachi, Ltd.

    Abstract: 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.

    Abstract translation: 管理电力系统中的系统状态的电力系统管理装置包括:系统状态候补计算部,其根据表示系统结构的特征信息的系统特性信息,基于目标函数计算系统状态的状态量; 距离计算单元,用于计算表示由系统状态候补计算单元计算的系统状态的状态量之间的值的相似度的状态间距离;以及变异性评估值计算单元,用于计算变异性评估值,其中, 基于由系统状态候选计算单元计算的系统状态的状态量和由状态间距离计算单元计算的状态间距离计算出的目标函数值来评估系统状态。 基于计算的变异性评估值来选择系统状态。

    ESTIMATION SYSTEM AND ESTIMATION METHOD
    12.
    发明公开

    公开(公告)号:US20240146580A1

    公开(公告)日:2024-05-02

    申请号:US18278062

    申请日:2022-03-08

    Applicant: HITACHI, LTD.

    CPC classification number: H04L25/0202 G06F18/241

    Abstract: 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.

    DATA ANALYSIS SYSTEM AND METHOD
    13.
    发明公开

    公开(公告)号:US20230402846A1

    公开(公告)日:2023-12-14

    申请号:US18024543

    申请日:2021-09-08

    Applicant: HITACHI, LTD.

    CPC classification number: H02J3/144 H02J3/003

    Abstract: A system generates a first tree structure representing a relation of a plurality of measurement data sets, and generates goodness-of-fit data based on at least a part of attribute data regarding one or more branch portions included in the first tree structure. The attribute data includes one or more attribute values at one or more points in time regarding each of one or more attribute items. The goodness-of-fit data includes goodness-of-fit for each attribute item regarding each branch portion. With regard to each attribute item for each branch portion, goodness-of-fit is a value calculated based on a parent node and two or more child nodes belonging to the relevant branch portion, and one or more attribute values corresponding to the relevant attribute item, and represents a degree that the relevant attribute item will fit as a base of a branch condition. The system generates a second tree structure in which a branch condition decided based on the goodness-of-fit data is associated with a branch portion included in the first tree structure, and performs data estimation using the second tree structure.

    PREDICTION SYSTEM AND PREDICTION METHOD

    公开(公告)号:US20230027383A1

    公开(公告)日:2023-01-26

    申请号:US17911155

    申请日:2021-01-15

    Applicant: Hitachi, Ltd.

    Abstract: 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.

    Electric Power System Monitoring Device and Electric Power System Monitoring System

    公开(公告)号:US20170292824A1

    公开(公告)日:2017-10-12

    申请号:US15511341

    申请日:2015-05-28

    Applicant: Hitachi, Ltd.

    Abstract: 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.

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