Thesis
INCORPORATING EQUITY/FAIRNESS IN TRANSMISSION PLANNING AND OPERATIONS
Washington State University
Master of Science (MS), Washington State University
05/2024
DOI:
https://doi.org/10.7273/000006909
Abstract
As the electricity grid continues to evolve and expand over time, the necessity for equitable energy grows more so each day. Current literature investigating equity in power systems focuses mainly on energy affordability and the economic side of power systems. Looking forward into incorporating fairness in power system planning and operations, it is necessary to investigate energy equity in both long-term and short-term operations. Fairness is considered both a mechanism/variable and constraint that can be applied to power system optimization models, as it has been previously done in communication system modeling. However, there are still challenges and needs that limit or hinder the incorporation of fairness in power systems. this work aims to demonstrate why incorporating fairness in power systems is vital to the future of equitable energy in power systems by showcasing the results from various fairness mechanisms. For this study, we consider the MiniMax, equity-threshold, and utility-threshold mechanics to introduce equity into a general transmission expansion and energy storage system (ESS) planning problem. We consider two different vulnerability indices to assess load shedding in two different formulations. The state of California is considered for this study as many of its counties are vulnerable to load shedding events during wildfire season. Case studies are performed on a modified IEEE 30-bus test system to verify the effectiveness of the proposed model considering various Public Safety Power-Shutoff (PSPS) events in California.
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Details
- Title
- INCORPORATING EQUITY/FAIRNESS IN TRANSMISSION PLANNING AND OPERATIONS
- Creators
- Noah Riley Allison
- Contributors
- Josue Campos do Prado (Chair)John Lynch (Committee Member)Feng Zhao (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Engineering and Computer Science (VANC)
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 98
- Identifiers
- 99901124819701842
- Language
- English
- Resource Type
- Thesis