IP Library › Granted Patent US 11,381,582
Granted Patent B1
US 11,381,582 · App. 17/340,782 · Granted Jul 5, 2022

Energy cyber-physical system digital twin playground

Inventors: Osama Mohammed (Miami, FL); Ahmed A. Saad (Miami, FL)
Assignee: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
H04L63/1416G06F30/20H04L63/1466
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,381,582
App. No.
17/340,782
Granted
Jul 5, 2022
Kind
B1
Abstract

Systems and methods for enhancing resiliency of a power system (e.g., an energy cyber-physical system (ECPS)) against cyber-attacks are provided. An internet of things (IoT)-based digital twin (DT) for cyber-physical networked microgrids (NMGs) can be implemented to be a centric oversight for the NMG system. A cloud system can host the controllers (cyber things) and the sensors (physical things) of the power system into the cloud IoT core in terms of the IoT shadow. The DT can cover the digital replica for the physical layer, the cyber layer(s), and their hybrid interactions.

Claims (51)

1. A system for enhancing resiliency of a power system comprising a plurality of networked microgrids (NMGs), the system comprising:

a processor; and

a machine-readable medium in operable communication with the processor and having instructions stored thereon that, when executed by the processor, perform the following steps:

receiving data from a cloud server, the data comprising controller data and sensor data of the power system;

generating in real-time a digital twin (DT) for the plurality of NMGs based on the controller data and the sensor data received from the cloud server, the DT comprising a physical dynamics model and a cyber dynamics model;

monitoring operation of the plurality of NMGs of the DT; and

taking corrective action to mitigate any attacks on an NMG of the plurality of NMGs of the DT,

the taking of corrective action to mitigate any attacks on an NMG of the plurality of NMGs of the DT comprising:

using a Luenberger Observer to construct and test multiple what-if scenarios to authenticate a healthy desired control state of the DT; and

returning the DT to the healthy desired control state.

2. The system according to claim 1 , the power system being an energy cyber-physical system (ECPS).

3. The system according to claim 1 , further comprising a plurality of intelligent electronic devices (IEDs), each IED of the plurality of IEDs comprising an NMG of the plurality of NMGs.

4. The system according to claim 1 , the DT comprising a plurality of agents comprising a leader agent and a plurality of follower agents, the leader agent corresponding to a device of a point of common coupling (PCC).

5. The system according to claim 1 , the DT being an internet of things (IoT)-based DT.

6. The system according to claim 5 , the DT comprising a shadow twin of the power system, the shadow twin comprising a plurality of agents comprising a leader agent and a plurality of follower agents,

the leader agent corresponding to a device of a PCC,

the follower agents of the plurality of follower agents respectively corresponding to a plurality of IEDs of the power system, and

each IED of the plurality of IEDs being coupled to the device of the PCC.

7. A method for enhancing resiliency of a power system comprising a plurality of networked microgrids (NMGs), the method comprising:

receiving, by a processor, data from a cloud server, the data comprising controller data and sensor data of the power system;

generating, by the processor, in real-time a digital twin (DT) for the plurality of NMGs based on the controller data and the sensor data received from the cloud server, the DT comprising a physical dynamics model and a cyber dynamics model;

monitoring, by the processor, operation of the plurality of NMGs of the DT; and

taking, by the processor, corrective action to mitigate any attacks on an NMG of the plurality of NMGs of the DT,

the taking of corrective action to mitigate any attacks on an NMG of the plurality of NMGs of the DT comprising:

using a Luenberger Observer to construct and test multiple what-if scenarios to authenticate a healthy desired control state of the DTI; and

returning the DT to the healthy desired control state.

8. The method according to claim 7 , the power system being an energy cyber-physical system (ECPS).

9. The method according to claim 7 , the power system further comprising a plurality of intelligent electronic devices (IEDs), each IED of the plurality of IEDs comprising an NMG of the plurality of NMGs.

10. The method according to claim 7 , the DT comprising a plurality of agents comprising a leader agent and a plurality of follower agents, the leader agent corresponding to a device of a point of common coupling (PCC).

11. The method according to claim 7 , the DT being an internet of things (IoT)-based DT,

the DT comprising a shadow twin of the power system, the shadow twin comprising a plurality of agents comprising a leader agent and a plurality of follower agents,

the leader agent corresponding to a device of a PCC,

the follower agents of the plurality of follower agents respectively corresponding to a plurality of IEDs of the power system, and

each IED of the plurality of IEDs being coupled to the device of the PCC.

12. A system for enhancing resiliency of a power system comprising a plurality of networked microgrids (NMGs), the system comprising:

a processor; and

a machine-readable medium in operable communication with the processor and having instructions stored thereon that, when executed by the processor, perform the following steps:

receiving data from a cloud server, the data comprising controller data and sensor data of the power system;

generating in real-time a digital twin (DT) for the plurality of NMGs based on the controller data and the sensor data received from the cloud server, the DT comprising a physical dynamics model and a cyber dynamics model;

monitoring operation of the plurality of NMGs of the DT; and

taking corrective action to mitigate any attacks on an NMG of the plurality of NMGs of the DT,

the power system being an energy cyber-physical system (ECPS),

the system further comprising a plurality of intelligent electronic devices (IEDs), each IED of the plurality of IEDs comprising an NMG of the plurality of NMGs,

the DT being an internet of things (IoT)-based DT,

the DT comprising a plurality of agents comprising a leader agent and a plurality of follower agents,

the leader agent corresponding to a device of a point of common coupling (PCC),

the follower agents of the plurality of follower agents respectively corresponding to the plurality of IEDs of the power system,

each IED of the plurality of IEDs being coupled to the device of the PCC, and

the taking of corrective action to mitigate any attacks on an NMG of the plurality of NMGs of the DT comprising:

using a Luenberger Observer to construct and test multiple what-if scenarios to authenticate a healthy desired control state of the DT; and

returning the DT to the healthy desired control state.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 15, 2021
From: MOHAMMED, OSAMA; SAAD, AHMED A.
To: THE FLORIDA INTERNATIONAL UNIVERSITY BOARD OF TRUSTEES
Reel/Frame 056543/0110 →
Cited By (4)
US 12,335,308 US 12,432,244 US 12,464,017 US 12,704,891