Major

Environmental Engineering

Anticipated Graduation Year

2021

Access Type

Open Access

Abstract

The use of smart grid technology allows for bi-directional flow of electricity so that users can generate and sell energy back to the electric power grid. This advancing technology presents increased security vulnerabilities and risks. Various levels of vulnerability could be identified that are related to their causes and effects on the normal functioning of the power grid. In order to improve the security of power grids, fuzzy logic controllers were applied to circuits with different types of power converters. Hidden Markov analysis also proved helpful in increasing security. The results were analyzed and applied to smart grid technology models.

Faculty Mentors & Instructors

Dr. Brook Abegaz, Assistant Professor, Engineering Science

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Improving the Security of Power Grids using Fuzzy Logic and Hidden Markov Models

The use of smart grid technology allows for bi-directional flow of electricity so that users can generate and sell energy back to the electric power grid. This advancing technology presents increased security vulnerabilities and risks. Various levels of vulnerability could be identified that are related to their causes and effects on the normal functioning of the power grid. In order to improve the security of power grids, fuzzy logic controllers were applied to circuits with different types of power converters. Hidden Markov analysis also proved helpful in increasing security. The results were analyzed and applied to smart grid technology models.