SYSTEMS AND METHODS FOR REAL-TIME DC MICROGRID POWER ANALYTICS FOR MISSION-CRITICAL POWER SYSTEMS

• US 20170046458A1
• Filed: 09/12/2016
• Published: 02/16/2017
• Est. Priority Date: 02/14/2006
• Status: Abandoned Application

• Current Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Original Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Inventors: Meagher, Kevin, Radibratovic, Brian, Nasle, Adib
• Application Number:
  US15/262,778
• Publication Number:
  US 20170046458A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06F 30/367 Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
• CPC Class Codes: H02J 13/00 Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
• CPC Class Codes: H02J 13/00001 characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00017 using optical fiber
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/40 Display of information, e.g. of data or controls
• CPC Class Codes: Y04S 40/124 using wired telecommunication networks or data transmission busses
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

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.

Claims

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 operable to generate a virtual system model of the microgrid;

wherein the microgrid portal is operable to connect at least one data source via at least one data acquisition system to the virtual system model and to communicate real-time data from the at least one data source to the virtual system model;

wherein the virtual system model is synchronized with the microgrid topology based on the real-time data;

wherein the analytics engine is operable to generate analytical data by performing power analytics required for a size and a scope and a mission of the microgrid;

wherein the analytical data are presented through the microgrid portal.

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 operable to connect two or more data sources 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 to the virtual system model.

6. The system of claim 1, wherein predicted data is generated by simulating the virtual system model of the microgrid, and wherein the virtual system model is calibrated in real time when a difference between the real-time data and the predicted data exceeds a threshold.

7. The system of claim 5, wherein the virtual system model is calibrated in real time when a change in power network topology is detected between the real-time data and the virtual model.

8. The system of claim 1, wherein the virtual system model is continuously synchronized with the microgrid topology based on the real-time 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 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 operable to filter and interpret real-time data relating to the health, performance, reliability, stability and availability of the microgrid.

12. A method for performing power analytics for a microgrid, comprising:

generating a virtual system model of the microgrid;

connecting at least one real-time data source with the virtual system model of the microgrid via a microgrid port;

synchronizing the virtual system model of the microgrid with the actual microgrid topology based on real-time data from the at least one real-time data source;

generating analytical data by performing real-time power analytics required for a size and a scope and a mission of the microgrid; and

presenting analytical data through the microgrid portal.

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 generating predicted data by simulating the virtual system model of the microgrid.

17. The method of claim 16, further comprising updating the virtual system model in real time when a difference between the real-time data and the predicted data exceeds a threshold, or when a change in power network topology is detected between the real-time data and the virtual 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 data are from market pricing technologies.

20. The method of claim 12, further comprising filtering and interpreting real-time data relating to the health, performance, reliability, stability and availability of the microgrid.