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

專利號
US10867087B2
公開日期
2020-12-15
申請人
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.

說明書

In one embodiment, the voltage stability modeling data includes “built-in” data supplied by an OEM manufacturer of the components that comprise the electrical equipment. In another embodiment, in order to cope with recent advances power system controls, the voltage stability data includes “user-defined” data that is created by an authorized system administrator in accordance with user-defined control logic models. The user-defined models interact with the virtual system model of the electrical power system through “Interface Variables” 1916 that are created out of the user-defined control logic models. In still another embodiment, the voltage stability modeling data includes a combination of both built-in model data and user-defined model data.

Moving on to step 1904, a contingency event can be chosen out of a diverse list of contingency events to be evaluated. That is, the voltage stability of the electrical power system can be assessed under a number of different contingency event scenarios including but not limited to a singular event contingency or multiple event contingencies (that are simultaneous or sequenced in time). In one embodiment, the contingency events assessed are manually chosen by a system administrator in accordance with user requirements. In another embodiment, the contingency events assessed are automatically chosen in accordance with control logic that is dynamically adaptive to past observations of the electrical power system. That is the control logic “l(fā)earns” which contingency events to simulate based on past observations of the electrical power system operating under various conditions. Some examples of contingency events include but are not limited to: loss of utility supply to the electrical system, loss of available power generation sources, system load changes/fluctuations, loss of distribution infrastructure associated with the electrical system, etc.

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