Graduate Thesis Or Dissertation
 

Power System Planning for Sustainable, Reliable, and Accessible Electricity: Models, Methods, and Metrics

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/6395wf42q

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  • Generation resources are shifting from centralized, high inertial, fossil fuel based to decentralized, no inertia, and variable renewable resources. The evolution of generation resources in electrical grids requires the transformation of the electrical grid infrastructure, and operation and planning procedures and standards. This dissertation takes four investigations into how to advance power system planning procedures and methods to integrate these resources into electrical grids ranging from minigrids to transmission systems. The first work addresses increasing energy access through development of sustainable off-grid minigrids through the introduction of an open-source planning tool which optimizes resource and equipment size and creates a distribution network placement map factoring in cost and reliability. The second work investigates the accuracy of measurement-based dynamic load modeling techniques used in transmission planning, highlighting the need for improvements of these commonly used methods due to a lack of correlation between model accuracy and output response error. The next work assesses the impact of dynamic loads and distributed energy resources (DERs), such as solar and wind, on transient voltage stability in transmission grids which is imperative to transmission stability and reliability. The last work evaluates modeling strategies and their impacts on the results of hosting capacity studies of DERs in transmission systems. These works highlight current shortcoming and ways for improvement and growth in traditional power system planning methods to accommodate these non-traditional resources. The ultimate goals of this work and the integration of these resources are to sustainably, affordably, and reliably transform electrical grids to meet climate and national security goals.
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  • Pending Publication
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  • 2020-03-11 to 2022-04-12

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