公开(公告)号：US20230361565A1

公开(公告)日：2023-11-09

申请号：US18245017

申请日：2021-08-30

申请人： Siemens Corporation

发明人： Yubo Wang ,  Siddharth Bhela ,  Ulrich Muenz

IPC分类号： H02J3/00 ,  H02J3/38

CPC分类号： H02J3/0073 ,  H02J3/388 ,  H02J2203/10

摘要： System and method simulate power distribution system reconfigurations for multiple contingencies. Decision tree model is instantiated as a graph with nodes and edges corresponding to simulated outage states of one or more buses in the power distribution system and simulated states of reconfigurable switches in the power distribution system, Edges related to each outage are disconnected. A reconfiguration path is determined with a plurality of switches reconfigured to a closed state by an iteration of tree search algorithms. A simulation estimates feeder cable and transformer loading and bus voltages on the reconfigured path for comparing against constraints including system capacity ratings and minimum voltage. Further iterations identify additional candidate reconfiguration paths which can be ranked by total load restoration

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.

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.

公开(公告)号：US20240232472A1

公开(公告)日：2024-07-11

申请号：US18558212

申请日：2021-08-27

申请人： Siemens Corporation

发明人： Yubo Wang ,  Ulrich Muenz ,  Suat Gumussoy

IPC分类号： G06F30/20 ,  G06N3/092

CPC分类号： G06F30/20 ,  G06N3/092

摘要： A method for adding assets to a distribution network includes using a placement generation engine to generate discrete placements of assets to be added to the distribution network subject to asset-installation constraint(s). Each placement is defined by a mapping of an asset, from multiple assets of different sizes, to a placement location defined by a node or branch of the distribution network. Each placement is used to update an operational circuit model of the distribution network for tuning control parameters of one or more controllers of the distribution network for robust operation over a range of load and/or generation scenarios. A cost function is evaluated for each placement based on a simulated operation. Parameters of the placement generation engine are iteratively adjusted based on the evaluated cost functions to arrive at an optimal placement and sizing of assets to be added to the distribution network.