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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

The data acquisition hub 112 is communicatively connected via data connections 110 to a plurality of sensors that are embedded throughout a monitored system 102. The data acquisition hub 112 may be a standalone unit or integrated within the analytics server 116 and can be embodied as a piece of hardware, software, or some combination thereof. In one embodiment, the data connections 110 are “hard wired” physical data connections (e.g., serial, network, etc.). For example, a serial or parallel cable connection between the sensors and the hub 112. In another embodiment, the data connections 110 are wireless data connections. For example, a radio frequency (RF), BLUETOOTH?, infrared or equivalent connection between the sensor and the hub 112.

Examples of a monitored system includes machinery, factories, electrical systems, processing plants, devices, chemical processes, biological systems, data centers, aircraft carriers, and the like. It should be understood that the monitored system can be any combination of components whose operations can be monitored with conventional sensors and where each component interacts with or is related to at least one other component within the combination.

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