# US 10,867,087 B2 · Systems and methods for real-time DC microgrid power analytics for mission-critical power systems

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 10,867,087 B2
- Document ID: US10867087B2
- Status: Granted
- Kind: B2
- Application number: 15/998,739
- Filed: 2018-08-16
- Published: 2019-01-03
- Granted: 2020-12-15
- Earliest claimed: 2006-02-14
- Assignees: WaveTech Global Inc.
- Applicants: WaveTech Global Inc.
- Inventors: Kevin Meagher; Brian Radibratovic; Adib Nasle
- Web page: https://patentgrep.com/patent/US10867087B2

## CPC

- H02J 13/12: Monitoring network conditions, e.g. electrical magnitudes or operational status
- G06F 30/00: Computer-aided design [CAD]
- G06F 30/20: Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30)
- H02J 13/00: Circuit arrangements for providing remote monitoring or remote control of equipment in a power distribution network
- H02J 13/10: characterised by displaying of information or by user interaction, e.g. supervisory control and data acquisition [SCADA] systems
- H02J 13/1323: {using optical fibres}
- H04L 67/10: in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46)
- G05F 1/66: Regulating electric power
- G06F 30/367: Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
- G06F 2119/06: Power analysis or power optimisation
- H02J 3/00: Circuit arrangements for AC mains or AC distribution networks
- H02J 2103/30: Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
- Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y04S 10/40: Display of information, e.g. of data or controls
- Y04S 40/124: using wired telecommunication networks or data transmission busses
- Y04S 40/20: Information technology specific aspects, e.g. CAD, simulation, modelling, system security
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- G05F: SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS

## 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

### Claim 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.

### Claim 2 (depends on 1)

The system of claim 1, wherein the microgrid comprises a direct current (DC) network element.

### Claim 3 (depends on 1)

The system of claim 1, wherein the microgrid further comprises an alternating current (AC) network element.

### Claim 4 (depends on 1)

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.

### Claim 5 (depends on 1)

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.

### Claim 6 (depends on 1)

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.

### Claim 7 (depends on 1)

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.

### Claim 8 (depends on 1)

The system of claim 1, wherein the virtual system model is continuously synchronized with the microgrid based on the real-time output data.

### Claim 9 (depends on 1)

The system of claim 1, wherein the analytical data comprises predictions and pattern recognition.

### Claim 10 (depends on 1)

The system of claim 1, wherein the real-time output data are from market pricing technologies.

### Claim 11 (depends on 1)

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.

### Claim 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.

### Claim 13 (depends on 12)

The method of claim 12, wherein the microgrid comprises a direct current (DC) network element.

### Claim 14 (depends on 12)

The method of claim 12, wherein the microgrid comprises an alternating current (AC) network element.

### Claim 15 (depends on 12)

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.

### Claim 16 (depends on 12)

The method of claim 12, further comprising the virtual system modeling engine generating predicted data by simulating the virtual system model of the microgrid.

### Claim 17 (depends on 16)

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.

### Claim 18 (depends on 12)

The method of claim 12, wherein the analytical data comprises predictions and pattern recognition.

### Claim 19 (depends on 12)

The method of claim 12, wherein the real-time output data are from market pricing technologies.

### Claim 20 (depends on 12)

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.