Systems and methods for real-time DC microgrid power analytics for mission-critical power systems
摘要
說明書
As described above, virtual system modeling engine 124 can be configured to model various aspects of the system to produce predicted values for the operation of various components within monitored system 102. These predicted values can be compared to actual values being received via data acquisition hub 112. If the differences are greater than a certain threshold, e.g., the DTT, but not in an alarm condition, then a calibration instruction can be generated. The calibration instruction can cause a calibration engine 134 to update the virtual model being used by system modeling engine 124 to reflect the new operating information.
It will be understood that as monitored system 102 ages, or more specifically the components comprising monitored system 102 age, then the operating parameters, e.g., currents and voltages associated with those components will also change. Thus, the process of calibrating the virtual model based on the actual operating information provides a mechanism by which the virtual model can be aged along with the monitored system 102 so that the comparisons being generated by analytics engine 118 are more meaningful.
At a high level, this process can be illustrated with the aid of
