Sponsor
Portland State University. Department of Electrical and Computer Engineering
First Advisor
Nirupama Bulusu
Term of Graduation
Spring 2022
Date of Publication
7-18-2022
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Language
English
Subjects
Smart power grids -- Security measures, Distributed resources (Electric utilities)
DOI
10.15760/etd.7946
Physical Description
1 online resource (xi, 56 pages)
Abstract
Emergent from the shadows of the traditional grid flaws, the Smart Grid (SG) idea was born and led by government mandates toward cleaner energy production. The SG represents the next generation of electricity distribution systems that subsume recent technological innovations. It uses digital communication between its components and entities to attain more automation, self-sufficiency, and reliability. Unfortunately, this relatively new concept is not flawless; the intrinsic reliance on increased digital communication spreads open attack paths for adversaries. Therefore, finding solutions that address information exchange vulnerabilities has become imperative.
The Energy Grid of Things (EGoT) is Portland State University's implementation of a Distributed Energy Resource Management System (DERMS). The EGoT DERMS requires access to customers' information to achieve operational objectives. The system's access to customers' information needs to be restricted such that it does not violate customers' privacy. Applying privacy protection models such as K-anonymity to EGoT DERMS sub-components safeguards that privacy.
This thesis work proposes a strategy to ensure communication in the EGoT DERMS is privacy-preserving and secure. Specifically, it provides an approach to applying the Mondrian Algorithm to ensure data within the system excludes Personally Identifiable Information (PII) and provides means for securing the communication according to industry standards (IEEE 2030.5). Results suggest that the generalization hierarchy derived for the EGoT DERMS exhibits an Identical Generalization Hierarchy structure. Guarantees of sameness manifested in the test feeder topology would not hold in real-world scenarios.
Rights
©2022 Mohammed Abdullah Alsaid
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/38147
Recommended Citation
Alsaid, Mohammed Abdullah, "A Privacy-Preserving Strategy for the Trust Layer of the Energy Grid of Things Distributed Energy Resource Management System" (2022). Dissertations and Theses. Paper 6076.
https://doi.org/10.15760/etd.7946