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

• US 20120191440A1
• Filed: 01/25/2012
• Published: 07/26/2012
• Est. Priority Date: 01/25/2011
• Status: Abandoned Application

• Current Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Original Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Inventors: Meagher, Kevin, Radibratovic, Brian
• Application Number:
  US13/358,376
• Publication Number:
  US 20120191440A1
• Time in Patent Office: Days
• US Class Current: 703/18
• 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 30/367 Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
• CPC Class Codes: H02J 3/38 Arrangements for parallely feeding a single network by two or more generators, converters or transformers
• 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 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, the system comprising:

at least one hardware processor;

a modeling engine that, when executed by the at least one processor, generates predicted data for a microgrid utilizing a virtual system model of the microgrid, the virtual system model comprising a virtual representation of a topology of the microgrid;

an analytics engine that, when executed by the at least one processor, monitors real-time data and the predicted data, initiates a calibration and synchronization operation to update the virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold, and generates analytical data by performing power analytics on the virtual system model; and

a portal that receives the real-time data from at least one external data source and provides the generated analytical data to a recipient.

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 portal comprises a non-proprietary interface.

5. The system of claim 1, wherein the analytical data comprises one or more of a prediction and pattern recognition.

6. The system of claim 1, wherein the portal receives the real-time data from a plurality of external data sources.

7. A method for performing power analytics on a microgrid, the system comprising, by at least one hardware processor:

generating predicted data for a microgrid utilizing a virtual system model of the microgrid, the virtual system model comprising a virtual representation of a topology of the microgrid;

receiving real-time data from at least one external data source;

initiating a calibration and synchronization operation to update the virtual system model in real-time when a difference between the real-time data and the predicted data exceeds a threshold;

generating analytical data by performing power analytics on the virtual system model; and

providing the generated analytical data to a recipient.

8. The method of claim 7, wherein the microgrid comprises a direct current (DC) network element.

9. The method of claim 7, wherein the microgrid further comprises an alternating current (AC) network element.

10. The method of claim 7, wherein the real-time data is received via a non-proprietary interface.

11. The method of claim 7, wherein the analytical data comprises one or more of a prediction and pattern recognition.

12. The method of claim 7, wherein the real-time data is received from a plurality of external data sources.