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Systems and methods for real-time DC microgrid power analytics for mission-critical power systems

專利號(hào)
US10867087B2
公開(kāi)日期
2020-12-15
申請(qǐng)人
WaveTech Global Inc.（US NJ Hoboken）
發(fā)明人
Kevin Meagher; Brian Radibratovic; Adib Nasle
IPC分類
G06F17/50; G06F30/20; H02J13/00; H04L29/08; G06F30/00; G05F1/66; H02J3/00; G06F30/367; G06F119/06
技術(shù)領(lǐng)域
system,analytics,power,in,data,electrical,real,virtual,can,be
地域： NJ NJ Hoboken

摘要

Systems and methods for performing power analytics on a microgrid. In an embodiment, predicted data is generated for the microgrid utilizing a virtual system model of the microgrid, which comprises a virtual representation of a topology of the microgrid. Real-time data is received via a portal from at least one external data source. If the difference between the real-time data and the predicted data exceeds a threshold, a calibration and synchronization operation is initiated to update the virtual system model in real-time. Power analytics may be performed on the virtual system model to generate analytical data, which can be returned via the portal.

說(shuō)明書(shū)

The energy management system engine, hosted by the power analytics server 116, can be configured to collect and process the real-time data output, the predicted data output and the forecasted aspects output from the various analytic engines (i.e., a machine learning engine 2908, a virtual system modeling engine 2922 and/or a utility power pricing engine 2914) that comprise the Energy Management System and generate a text or graphical user interface that conveys an operational state of the electrical system.

FIG. 30 is a diagram illustrating how the Transient Stability Modeling Engine works in conjunction with the other elements of the analytics system to intelligently predict and understand an electrical system's ability to maintain stability and/or recover from events and disturbances without violating system operational constraints, in accordance with one embodiment. Conventional transient stability modeling programs/engines, such as those offered by a majority of power system analysis software vendors, are capable of accurately computing the trajectories of power system quantities (e.g., voltages, frequencies, power flows, etc.) following disturbances, while leaving the comprehension of these trajectories (i.e., severity of these disturbances) and their relevance to power system security largely to the judgment of engineers.

That is, a conventional transient stability modeling program/engine only presents a user (i.e., electrical system owner, administrator, and/or operator) with a view of how the trajectories of the various operational power parameters of an electrical power system are impacted after a disturbance, but, fails to give any interpretive indicia of how well the overall security and stability of the power system improves after the disturbance.

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