Aggregator System
    2.
    发明公开
    Aggregator System 审中-公开

    公开(公告)号:US20240280617A1

    公开(公告)日:2024-08-22

    申请号:US18568033

    申请日:2022-06-09

    Applicant: Hitachi, Ltd.

    CPC classification number: G01R21/133 G06Q50/06 H02J3/12

    Abstract: An aggregator system outputting a control instruction relating to electric power to a consumer consuming electric power, in accordance with a variation of a power generation amount of a power supply company, the aggregator system predicting adjustment power that is an adjustable amount of received power according to each of facilities of the consumer and outputting a control instruction for adjusting received power to each of the facilities on the basis of the predicted adjustment power of each of the facilities and a DR instruction that is a demand/supply adjustment instruction for the electric power from the power supply company.

    POWER MANAGEMENT SYSTEM, POWER MANAGEMENT METHOD, AND POWER MANAGEMENT PROGRAM

    公开(公告)号:US20240235208A1

    公开(公告)日:2024-07-11

    申请号:US18561410

    申请日:2022-06-30

    Inventor: Misako KONISHI

    Abstract: A power management system that controls a power generation facility including a photovoltaic power generation device, the power management system including: a control unit that controls load power based on a predicted generated power assuming that the generated power by the power generation facility is the predicted generated power based on a power generation capacity of the power generation facility; and an actual power generation amount information acquisition unit serving as a power generation information acquisition unit that acquires actual generated power generated by the power generation facility. The control unit temporarily changes the control method when detecting that the difference between the predicted generated power and the actual generated power is larger than a predetermined value.

    METHODS AND SYSTEMS FOR CONTROLLING ELECTRIC VEHICLE CHARGING BASED ON POWER DISTRIBUTION SYSTEM INFORMATION

    公开(公告)号:US20240146060A1

    公开(公告)日:2024-05-02

    申请号:US18494927

    申请日:2023-10-26

    Applicant: BluWave Inc.

    CPC classification number: H02J3/12 B60L53/63 H02J3/003 H02J7/00712

    Abstract: Methods and systems are provided for controlling the charging of electric vehicles (EVs) and other assets based on power flow information of a power grid. The strategic control of charging of the assets, by way of generated charging control information, contributes to an effort to respect technical constraints of the power system, thereby minimizing violations of the technical constraints, and thus minimizing damage to the power grid infrastructure. New power flow information for a subsequent time period may then be generated based on the at least part of the charging control information, and this new power flow information may then in turn be used to generate new charging control information for the subsequent time period. In addition, a method contribute to the generation of a solution to an optimal power flow (OPF) problem in the power grid based on strategic controlling of the charging of a plurality of assets in the power system.

    WIND TURBINE, CONVERTER, AND LOW-VOLTAGE RIDE-THROUGH DETECTION METHOD AND DEVICE

    公开(公告)号:US20240118324A1

    公开(公告)日:2024-04-11

    申请号:US18257772

    申请日:2021-09-27

    Inventor: Lei WU

    CPC classification number: G01R19/2513 H02J3/12 H02J3/38 H02J2300/28

    Abstract: The present disclosure provides a wind turbine, a converter, and a low-voltage ride-through detection method and device. The low-voltage ride-through detection method includes: determining an adjustment value of a preset parameter of a power grid on the basis of a power grid voltage, wherein the preset parameter includes at least one of a current, a current frequency and a power factor angle; adjusting the preset parameter of the power grid on the basis of the adjustment value; and detecting, on the basis of a power grid voltage after the preset parameter of the power grid is adjusted, whether the power grid meets a low-voltage ride-through condition. Therefore, a power grid fault of the wind turbine in a weak grid can be accurately identified, so as to enter a low-voltage ride-through state, thereby avoiding system instability in the process of a power grid fault ride-through in the weak grid.

    Building load modification responsive to utility grid events using robotic process automation

    公开(公告)号:US11929616B2

    公开(公告)日:2024-03-12

    申请号:US18312108

    申请日:2023-05-04

    Abstract: Responding to grid events is provided. The system determines, based on an event, to modify an electrical load of a site. The system selects a parameter for the site to adjust to modify the electrical load. The system identifies a script constructed from previously processed interactions between a human-machine interface of the building management system to adjust the parameter for the site. The system establishes a communication session with a remote access agent executed by a computing device of the site to invoke the building management system of the site. The system generates a sequence of commands defined by the script to adjust the one or more parameters for the site. The system transmits the sequence of commands to cause the remote access agent to execute the sequence of commands on the human-machine interface of the building management system to modify the electrical load of the site.

    Automatic discovery of electrical supply network topology and phase

    公开(公告)号:US11721977B2

    公开(公告)日:2023-08-08

    申请号:US17579496

    申请日:2022-01-19

    CPC classification number: H02J3/12 G05B13/0265 H02J13/00002

    Abstract: A system for discovering the topology and phase of an electrical power distribution system is provided. For example, a group of meters connected to an electrical power distribution system can process sensor data obtained at the meters and generate descriptors based on the processed data and transmit the descriptors to a headend system. The headend system can, after receiving the descriptors from the various meters in the system, group these meters to generate a grouping by applying clustering algorithms to the descriptors of these meters. The headend system can further compare the current grouping with past groupings to determine a confidence level of the current grouping and assign a segment identifier or a phase identifier or both to one or more of the meters based on the confidence level.

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