First Advisor

John M. Acken

Term of Graduation

Fall 2021

Date of Publication


Document Type


Degree Name

Master of Science (M.S.) in Electrical and Computer Engineering


Electrical and Computer Engineering




Computer networks -- Security measures, Electric utilities -- Security measures, Smart power grids -- Communication systems -- Security measures, Distributed resources (Electric utilities)



Physical Description

1 online resource (xiii, 133 pages)


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.


© 2021 Narmada Sonali Fernando

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