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Integration of Energy Storage and Solar to Increase Rural Electric Distribution Reliability through the Utilization of a Digital Twin

Nguyen, Sabrina Yen-Vy (2022) Integration of Energy Storage and Solar to Increase Rural Electric Distribution Reliability through the Utilization of a Digital Twin. Master's Thesis, University of Pittsburgh. (Unpublished)

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Power systems engineers lack the capability of knowing the real time status of the system and its vulnerabilities. Digital twins are introduced as a solution for distribution system applications and security.A digital twin's ability to perform real time calculations and analyses make it a unique tool that can strengthen our understanding of the power grid, mitigate threats, and improve decision making. Investigating how digital twins' application in power systems can help improve its efficiency, reliability, and functionality. A digital twin is used in this thesis to model and show the impact of the addition of distributed devices to enhance the reliability of power systems in rural areas.
Utility customers expect the highest levels of reliability as many day-to-day activities involve loads requiring a constant energy supply. In urban areas, to ensure this reliability factor, many utilities use networked systems to add redundancy in the event of an outage. In rural areas, however, lower population densities and power system branches cause the reliability techniques used in urban areas to become less practical. Consequently, customers in rural areas experience more outages and longer outage times due to the distance between customers.
Current research focuses on the integration of distributed generation to support rural circuits. This thesis will explore the impact of also integrating distributed storage in rural systems at the edge of the grid. These models will evaluate how these feeders accommodate new devices and how they impact the reliability of the circuit. The creation of these system models will help create a foundation for the development of a digital twin, which can be useful for utility personnel. The addition of newer devices will provide the utility more data to not only train their digital twin and run more accurate studies, but also better monitor and understand what is occurring on the rural circuits to make more informed decisions.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Nguyen, Sabrina Yen-Vysan86@pitt.edusan860000-0002-9841-7706
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorKerestes, Robertrjk39@pitt.edurjk39
Thesis AdvisorAbdelhakim, Maimaia@pitt.edumaia
Committee MemberGrainger, Brandonbmg10@pitt.edubmg10
Committee MemberBarati, Masoudmasoud.barati@pitt.edumasoud.barati
Date: 10 June 2022
Date Type: Publication
Defense Date: 1 April 2022
Approval Date: 10 June 2022
Submission Date: 16 March 2022
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 77
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: digital twin, distribution system, energy storage, peak shaving, PV, rural circuits
Date Deposited: 10 Jun 2022 18:36
Last Modified: 10 Jun 2024 05:15


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