Keywords

Interoperability, grid, energy, matrix of change, strategy map, balanced scorecard, data modeling, ontology, publish subscribe, pub/sub, protocols, message oriented middleware, service oriented architecture, field message bus, use case application framework, reference architecture, utility standards, distributed system, distributed intelligence, peer to peer, common information model, cim, data distribution service, dds, message queue telemetry transport, mqtt, protocol translation, contextualization

Abstract

Historically, the United States (US) electric grid has been a stable one-way power delivery infrastructure that supplies centrally-generated electricity to its predictably consuming demand. However, the US electric grid is now undergoing a huge transformation from a simple and static system to a complex and dynamic network, which is starting to interconnect intermittent distributed energy resources (DERs), portable electric vehicles (EVs), and load-altering home automation devices, that create bidirectional power flow or stochastic load behavior. In order for this grid of the future to effectively embrace the high penetration of these disruptive and fast-responding digital technologies without compromising its safety, reliability, and affordability, plug-and-play interoperability within the field area network must be enabled between operational technology (OT), information technology (IT), and telecommunication assets in order to seamlessly and securely integrate into the electric utility's operations and planning systems in a modular, flexible, and scalable fashion. This research proposes a potential approach to simplifying the translation and contextualization of operational data on the electric grid without being routed to the utility datacenter for a control decision. This methodology integrates modern software technology from other industries, along with utility industry-standard semantic models, to overcome information siloes and enable interoperability. By leveraging industrial engineering tools, a framework is also developed to help devise a reference architecture and use-case application process that is applied and validated at a US electric utility.

Notes

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Graduation Date

2015

Semester

Spring

Advisor

Rabelo, Luis

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

Industrial Engineering and Management Systems

Degree Program

Industrial Engineering

Format

application/pdf

Identifier

CFE0005647

URL

http://purl.fcla.edu/fcla/etd/CFE0005647

Language

English

Release Date

May 2020

Length of Campus-only Access

5 years

Access Status

Doctoral Dissertation (Open Access)

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