Sponsor
Portland State University. Department of Electrical and Computer Engineering
First Advisor
John M. Acken
Term of Graduation
Fall 2021
Date of Publication
12-8-2021
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical and Computer Engineering
Department
Electrical and Computer Engineering
Language
English
Subjects
Computer networks -- Security measures, Electric utilities -- Security measures, Smart power grids -- Communication systems -- Security measures, Distributed resources (Electric utilities)
DOI
10.15760/etd.7746
Physical Description
1 online resource (xiii, 133 pages)
Abstract
Electric power system operators can manage distribution system utilization and usage by coordinating end customer usage of distributed energy resources. The end customers in this regard are Service Provisioning Customers, who provide their energy resources to a Grid Service Provider, which in turn dispatches large aggregations of distributed energy resources to provide reliable service to the power system. The security of this system relies upon information protection mechanisms, as described in IEEE 2030.5. However, in addition to preventive security measures, a monitoring function is required to ensure trustworthiness.
Trust models are a method to detect and respond to both expected and unexpected behavior. Different trust models are required for various types and characteristics of each situation. This thesis describes the topics that must be considered when developing a trust model as it applies to distributed energy resources. This thesis also provides the creation and application of a Distributed Trust Model applied to distributed energy resources. A key feature of Distributed Trust Model is to evaluate and alert an authority of any abnormalities. The decision to send an alert at the right time is critical to avoid possible disasters caused by intruders of the communication system. Major contributions of this thesis are to introduce a method for the Distributed Trust Model(DTM) to set the correct thresholds to send alerts at the appropriate times and evaluate the specified threshold values. Additionally, a method is defined to assess the decision-making equations that send those alerts. Overall, the hypothesis tool can provide the statistical probability of failing to send an alert or false alerts based on the selected threshold. The hypothesis analysis provided by this tool helps a decision maker to understand statistical impacts of a specific threshold.
Rights
© 2021 Narmada Sonali Fernando
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/36948
Recommended Citation
Fernando, Narmada Sonali, "The Distributed Trust Model Applied to the Energy Grid of Things" (2021). Dissertations and Theses. Paper 5875.
https://doi.org/10.15760/etd.7746