Systems and methods for real-time DC microgrid power analytics for mission-critical power systems
View Patent ↗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.
1. A system for performing power analytics on a microgrid, comprising:
at least one processor, comprising a virtual system modeling engine and analytics engine; and a microgrid portal;
wherein the virtual system modeling engine is configured to generate a virtual system model of the microgrid and generate predicted output data based on the virtual system model;
wherein the microgrid portal is configured to connect at least one data source of the microgrid via at least one data acquisition system to the virtual system model and to communicate real-time output data from the at least one data source of the microgrid to the virtual system model;
wherein the analytics engine is configured to monitor the predicted output data and real-time output data from the at least one data source of the microgrid, and calibrate the virtual system model based on a difference between the predicted output data and the real-time output data; wherein the virtual system model is synchronized with the microgrid;
wherein the analytics engine is configured to generate analytical data by performing power analytics required for a size and a scope and a mission of the microgrid;
wherein the analytics engine is further configured to calculate a real-time system security index value based on stability indices generated from the virtual system model once a disturbance event within the microgrid has occurred, wherein the stability indices comprise an angular stability index, a frequency stability index, and a voltage stability index, wherein the real-time system security index value reflects a real-time security and stability level of the electrical power system following the disturbance event.
2. The system of claim 1 , wherein the microgrid comprises a direct current (DC) network element.
3. The system of claim 1 , wherein the microgrid further comprises an alternating current (AC) network element.
4. The system of claim 1 , wherein the microgrid portal is an abstract interface or an Application Program Interface (API) which enables non-proprietary, as well as proprietary, software systems to interface with the virtual system model of the microgrid.
5. The system of claim 1 , wherein the microgrid portal is configured to connect two or more data sources of the microgrid via two or more data acquisition systems to the virtual system model and to communicate real-time data from the two or more data sources of the microgrid to the virtual system model.
6. The system of claim 1 , further comprising a client terminal device configured to display the real-time system security index value once the disturbance event within the electrical system has occurred.
7. The system of claim 1 , wherein the virtual system model is calibrated in real time when a change in power network topology is detected between the real-time output data and the virtual system model.
8. The system of claim 1 , wherein the virtual system model is continuously synchronized with the microgrid based on the real-time output data.
9. The system of claim 1 , wherein the analytical data comprises predictions and pattern recognition.
10. The system of claim 1 , wherein the real-time output data are from market pricing technologies.
11. The system of claim 1 , wherein the at least one processor further comprises a decision engine, and wherein the decision engine is configured to filter and interpret real-time output data relating to the health, performance, reliability, stability and availability of the microgrid.
12. A method for performing power analytics for a microgrid, comprising:
a virtual system modeling engine generating a virtual system model of the microgrid;
the virtual system modeling engine generating predicted output data based on the virtual system model;
a microgrid portal communicating real-time output data from at least one real-time data source of the microgrid to the virtual system model of the microgrid via at least one data acquisition system;
an analytics engine monitoring the predicted output data and real-time output data;
the analytics engine calibrating the virtual system model based on a difference between the predicted output data and the real-time output data, thereby synchronizing the virtual system model with the microgrid;
the analytics engine generating analytical data by performing power analytics required by a size, a scope, and a mission of the microgrid;
the analytics engine calculating a real-time system security index value based on stability indices generated from the virtual system model once a disturbance event within the microgrid has occurred, wherein the stability indices comprise an angular stability index, a frequency stability index, and a voltage stability index, wherein the real-time system security index value reflects a real-time security and stability level of the electrical power system following the disturbance event; and
a client terminal device displaying the real-time system security index value once the disturbance event within the electrical system has occurred.
13. The method of claim 12 , wherein the microgrid comprises a direct current (DC) network element.
14. The method of claim 12 , wherein the microgrid comprises an alternating current (AC) network element.
15. The method of claim 12 , wherein the microgrid portal is an abstract interface or an Application Program Interface (API) which enables non-proprietary, as well as proprietary, software systems to interface with the virtual system model of the microgrid.
16. The method of claim 12 , further comprising the virtual system modeling engine generating predicted data by simulating the virtual system model of the microgrid.
17. The method of claim 16 , further comprising the analytics engine calibrating the virtual system model in real time when a change in power network topology is detected between the real-time output data and the virtual system model.
18. The method of claim 12 , wherein the analytical data comprises predictions and pattern recognition.
19. The method of claim 12 , wherein the real-time output data are from market pricing technologies.
20. The method of claim 12 , further comprising the analytics engine filtering and interpreting real-time output data relating to the health, performance, reliability, stability and availability of the microgrid.