Systems and methods for real-time DC microgrid power analytics for mission-critical power systems
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
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In step 2302, the power analytics server is configured to simulate the operation of a virtual system model (logical model) of the power facility to generate virtual facility predicted sensory data 2304 for the various sensor clusters distributed throughout the facility. Examples of the types of predicted sensory data 2304 that can be generated by the power analytics server include, but are not limited to power system: voltage, frequency, power factor, harmonics waveform, power quality, loading, capacity, etc. It should be understood that the power analytics server can be configured to generate any type of predicted sensory data 2304 as long as the data parameter type can be simulated using a virtual system model of the facility.
意見反饋