Digital Twins Driven Intelligent PEBB Based Distribution Systems to Enhance Shipboard Power System Cyber-Physical Security and Resiliency
Abstract
As a result of the rapid development of new power electronic systems and architectures, whitching devices, the recent migration from AC to DC systems in shipboard power systems has seen increased utilization. This createsa set of new challenges that require new and out of the box solutions. The challenges onboard such as reliable energy storage operation, distributed control system complexity, overall system stability, controlling of many power electronics converters, and switching devices, as well as monitoring the healthy operation of the assets. Another important challenge is maintaining cyber-physical security. All these challenges represent significant obstacles for the survivability of the Power Generation, Storage and Conversion Modules (PGM, ESM and PGM) onboard. To deal with all these challenges, we propose to implement the Digital Twin (DT) technology as an integrated solution that can cover every asset in the ship power system [1]-[7]. The digital twin is one of the top-ten strategic solutions in recent years according to Gartner report [3]. We define the digital twin as the virtual replicas or models of the physical object [8, 9]. To create a digital twin of any physical device, the related data should be collected synthesized, including the physical measurements, manufacturing data, operational data, and insights from analytics software. The data is collected in real-time,and the digital representation (DT) of the physical asset becomes the living model of the physical system. This will give the ability to enhance the physical system lifetime, productivity, optimal operation, security, and situational awareness. In addition, the new advanced technology of analytics such as machine learning will be easier to apply to predict the future state for both the deviceand the overall system. By representing every sensor, controller, power electronic converter, storage device, generator, and load in the form of a digital twin platform, many solutions for the previously discussed challenges will be offered. The digital twin platform can be hosted on a private centric computing platform system. The degree of the digital twin complexity depends on the application. The digital twin technology combines the recent advanced technologies into one strategic solution, such as Industrial Edge Control (Cyber Layer), Machine Learning, Computing platforms, Mathematical Modelling, and Data Analytics. Our proposed DT architecturecombines the benefits of the distributed and the centralized systems infrastructure. According to the DT architecture (centric or distributed), the DT functionality, replica dynamical characteristics, the interaction time frame are different. The Distributed Digital Twin (DDT) is proposed to be assigned for every asset as (PCM, PGM, ESM, PMM, PDM and for the interconnected power electronics corridors; iPECs). The DDTs have more detailed dynamical models and their updating rates will be higher. The functionality of the DDTs is to support the controllers resiliency, fault self-diagnostics, survivability and cybersecurity. On the other hand, the edge centric digital twin (ECDT) has the wide picture via estimating the states for the situational awareness, provides the security and the operation guidelines alongside with answering What-If scenarios questions. The ECDT has less computational replicas and the interaction rate is lower than the DDT. To provide a generic information to the Military Base about the naval ship, multiple clones are proposed to be on the cloud to be sent from the ship edge to a commercial or private cloud computing service. (Approved for Public Release)
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 09, 2021
- Source ID
- N000142112493
Entities
People
- Osama Mohammed
Organizations
- Florida International University
- Office of Naval Research
- United States Navy