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        <identifier>oai:www.ideals.illinois.edu:2142/11970</identifier>
        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Overbye, Thomas J.</dc:contributor>
          <dc:creator>Beltran, Hector A.</dc:creator>
          <dc:date>2009-06-01T16:04:56Z</dc:date>
          <dc:date>2009-06-01T16:04:56Z</dc:date>
          <dc:date>2009-06-01T16:04:56Z</dc:date>
          <dc:description>To meet electricity demand, electric utilities develop growth strategies for
generation, transmission, and distributions systems. For a long time those
strategies have been developed by applying least-cost methodology, in which the
cheapest stand-alone resources are simply added, instead of analyzing complete
portfolios. As a consequence, least-cost methodology is biased in favor of fossil
fuel-based technologies, completely ignoring the benefits of adding non-fossil
fuel technologies to generation portfolios, especially renewable energies. For this
reason, this thesis introduces modern portfolio theory (MPT) to gain a more
profound insight into a generation portfolio’s performance using generation cost
and risk metrics. We discuss all necessary assumptions and modifications to this
finance technique for its application within power systems planning, and we
present a real case of analysis. Finally, the results of this thesis are summarized,
pointing out the main benefits and the scope of this new tool in the context of
electricity generation planning.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/11970</dc:identifier>
          <dc:rights>Copyright Hector A. Beltran</dc:rights>
          <dc:subject>Modern portfolio theory</dc:subject>
          <dc:subject>Electricity resource planning</dc:subject>
          <dc:subject>Efficient frontier</dc:subject>
          <dc:subject>Least-cost-variance methodology</dc:subject>
          <dc:title>Modern Portfolio Theory Applied to Electricity Resource Planning</dc:title>
          <dc:date>2009-5</dc:date>
          <degree>
            <department>Electrical and Computer Engineering</department>
            <discipline>Electrical and Computer Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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