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Selling smart with microgrid expansion and data analysis: a case study of the Rutgers Busch and Livingston microgrid
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Baber, Kelly. Selling smart with microgrid expansion and data analysis: a case study of the Rutgers Busch and Livingston microgrid. Retrieved from https://doi.org/doi:10.7282/t3-5094-2d26

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TitleSelling smart with microgrid expansion and data analysis: a case study of the Rutgers Busch and Livingston microgrid
NameBaber, Kelly (author); Muller, Michael R (chair); Baruh, Haim (internal member); Diez, Francisco Javier (internal member); Rutgers University; School of Graduate Studies
Date Created2020
Other Date2020-10 (degree)
SubjectElectrical grid, Mechanical and Aerospace Engineering
Extent1 online resource (vii, 66 pages)
DescriptionThe deteriorating electrical grid has long been a focus and concern for the Energy Sector. Although a complete overhaul of the electrical infrastructure would be beneficial, it is not currently feasible. This has led to a rigorous search for alternative solutions to the growing grid failures. A unique solution comes in the form of analysis focusing on remedying current grid congestion obstructions with the prospect of incorporating existing microgrid systems for economic benefit. Two distinct Cases are analyzed – the former pertains to inserting new generation into the electrical grid at points with strong congestion percentages within the LMP (Locational Marginal Pricing), while the latter uses an existing microgrid system and expands upon its current generation. The sample microgrid system utilized for analysis was the Rutgers Busch & Livingston Microgrid consisting of a cogeneration plant and multiple photovoltaic solar systems. The strong differentiator between the two Cases is that the first prioritizes economic benefit entirely while the second initially satisfies the internal microgrid load before seeking financial profits. A congestion pricing model was derived to demonstrate the fluctuations in price with respect to new generation. Data from a variety of existing nodes within the PJM grid was studied in combination with the Rutgers microgrid historical data. It was found that economic success was most prevalent at the node with a positive congestion pricing percentage above 2%. This was consistent in both Cases despite the second case having a primary focus on internal fulfillment. The congestion pricing was the principal influencer in the financial success of the new generation incorporation.
NoteM.S.
NoteIncludes bibliographical references
Genretheses, External ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-5094-2d26
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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