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    DETERMINING LOCATION AND SIZING OF A NEW POWER UNIT WITHIN A CURRENT SYSTEM ARCHITECTURE OF A POWER SYSTEM OR A GRID
    2.
    发明公开
    DETERMINING LOCATION AND SIZING OF A NEW POWER UNIT WITHIN A CURRENT SYSTEM ARCHITECTURE OF A POWER SYSTEM OR A GRID 审中-公开

    公开(公告)号：US20240354465A1

    公开(公告)日：2024-10-24

    申请号：US18684336

    申请日：2021-08-30

    申请人： Siemens Corporation

    发明人： Xiaofan Wu ,  Ulrich Muenz ,  Suat Gumussoy

    IPC分类号： G06F30/18 ,  G06F30/27 ,  G06F111/06 ,  G06F113/04

    CPC分类号： G06F30/18 ,  G06F30/27 ,  G06F2111/06 ,  G06F2113/04

    摘要： A system determines a location and a size of a new power generation or power regulating unit within a current system architecture of a power system including a plurality of power generation units. The system comprises a controller including a processor and a memory, computer-readable logic code stored in the memory which, when executed by the processor, causes the controller to execute a hybrid algorithm as a combination of a data-driven algorithm and a model-based algorithm to determine an optimal location and size of the new power generation or power regulating unit. The data-driven algorithm encodes a location and a size information. The controller to enable the model-based algorithm to optimize performance of a selected location and size of the new power generation or power regulating unit, which is based on a linearized system or a nonlinear system to provide guidance for the data-driven algorithm to incorporate physical rules and verify a new system architecture.

    POWER SYSTEM MODEL CALIBRATION USING MEASUREMENT DATA
    3.
    发明公开
    POWER SYSTEM MODEL CALIBRATION USING MEASUREMENT DATA 审中-公开

    公开(公告)号：US20240296261A1

    公开(公告)日：2024-09-05

    申请号：US18550469

    申请日：2021-09-29

    申请人： Siemens Corporation

    发明人： Suat Gumussoy ,  Xiaofan Wu ,  Ulrich Muenz

    IPC分类号： G06F30/20 ,  H02J3/38

    CPC分类号： G06F30/20 ,  H02J3/38 ,  H02J2203/20

    摘要： A computer-implemented method for online calibration of power system model against a power system includes iteratively approximating the power system model, at sequential optimization steps, around a moving design point defined by parameter values of a set of calibration parameters of the power system model. At each optimization step, an approximated system model is used to transform a dynamic input signal into a model output signal, which is compared with measurement signals obtained from measurement devices installed in the power system that define an actual power system output signal generated in response to the dynamic input signal. Parameter values of the calibration parameters adjusted in a direction to minimize an error between the model output signal and the actual power system output signal. The power system model is calibrated against the power system based on resulting optimal values of the calibration parameters.

    DECENTRALIZED PLANNING, SCHEDULING AND CONTROL OF MULTI-AGENT FLOW CONTROL SYSTEM
    4.
    发明申请
    DECENTRALIZED PLANNING, SCHEDULING AND CONTROL OF MULTI-AGENT FLOW CONTROL SYSTEM 审中-公开

    公开(公告)号：US20200166902A1

    公开(公告)日：2020-05-28

    申请号：US16630275

    申请日：2018-04-03

    申请人： SIEMENS CORPORATION

    发明人： Zhen Song ,  Xiaofan Wu ,  Sanjeev Srivastava ,  Shaili Nepal

    IPC分类号： G05B19/042 ,  G06Q50/16 ,  G06Q10/04 ,  G06F11/07 ,  G05B13/04

    摘要： Systems and methods are provided for generating a flow control plan for a plurality of components in a flow control system. A decentralized multi-agent control framework is used to plan and schedule for each agent independently without a central processor. Each agent of the multi-agent control framework separately optimizes a local portion of the system as a function of values for one or more parameters. Agents communicate with other connected agents, sharing values for parameters. The communication provides a negotiation and consensus for values of the shared parameters that are used by the agent to recalculate optimized parameters values for the local portion of the system.