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

專(zhuān)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(lèi)
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 process, described herein, provides a harmonics analysis solution that uses a real-time snap shot captured by a data acquisition system to perform a real-time system power quality evaluation at all locations regardless of power quality metering density. This process integrates, in real-time, a logical simulation model (i.e., virtual system model) of the electrical system, a data acquisition system, and power system simulation engines with a logic-based approach to synchronize the logical simulation model with conditions at the real electrical system to effectively “age” the simulation model along with the actual electrical system. Through this approach, predictions about harmonic distortions in an electrical system may be accurately calculated in real-time. Condensed, this process works by simulating harmonic distortions in an electrical system through subjecting a real-time updated virtual system model of the system to one or more simulated contingency situations.

In step 2002, the harmonic frequency modeling data for the components comprising the electrical system can be updated to re-align the virtual system model in “real-time” so that it mirrors the real operating conditions of the facility. These updates to the harmonic frequency modeling data coupled with the ability to calibrate and age the virtual system model of the facility as it ages (i.e., real-time condition of the facility), as described above, provides a desirable approach to predicting occurrences of harmonic distortions within the electrical power system when operating under contingency situations. That is, these updates account for the natural aging effects of hardware that comprise the total electrical power system by continuously synchronizing and calibrating both the control logic used in the simulation and the actual operating conditions of the electrical system.

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