  <eprint id="http://www.maths-in-industry.org/miis/id/eprint/133" xmlns="http://eprints.org/ep2/data/2.0">
    <eprintid>133</eprintid>
    <rev_number>2</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>5</userid>
    <dir>disk0/00/00/01/33</dir>
    <datestamp>2008-01-25</datestamp>
    <lastmod>2009-06-22 11:44:58</lastmod>
    <status_changed>2009-04-08 16:54:40</status_changed>
    <type>report</type>
    <metadata_visibility>show</metadata_visibility>
    <item_issues_count>0</item_issues_count>
    <creators>
      <item>
        <name>
          <family>Pritchard</family>
          <given>Geoff</given>
        </name>
        <id></id>
      </item>
      <item>
        <name>
          <family>Sweatman</family>
          <given>Winston L.</given>
        </name>
        <id></id>
      </item>
      <item>
        <name>
          <family>Nan</family>
          <given>Kim</given>
        </name>
        <id></id>
      </item>
      <item>
        <name>
          <family>Camden</family>
          <given>Mike</given>
        </name>
        <id></id>
      </item>
      <item>
        <name>
          <family>Whiten</family>
          <given>Bill</given>
        </name>
        <id></id>
      </item>
    </creators>
    <title>Maximizing the contribution of wind power in an electric power grid</title>
    <ispublished>unpub</ispublished>
    <subjects>
      <item>utilities</item>
    </subjects>
    <studygroups>misg24</studygroups>
    <companyname>Transpower/Energy Efficiency and Conservation Authority NZ</companyname>
    <full_text_status>public</full_text_status>
    <problem_statement>The problem posed to MISG 2007 is to explore the implications of two ways of managing – and exploiting – the unpredictable ramping of wind generation, by:
• Wind/hydro matching: by matching each wind station with a hydro station (New Zealand has abundant hydro generation already). Hydro stations have very fast ramp rates, so where the wind farm and hydro stations are co-located this can be a perfect match. The problem is that they are not co-located.
• Wind sloshing: by having a large enough portfolio of wind regionally or nationally that “random” changes in one wind farm will, to a degree, be offset by random changes across the portfolio, for which the technical term “sloshing” has been coined.</problem_statement>
    <date>2007-02-09</date>
    <date_type>published</date_type>
    <documents>
      <document id="http://www.maths-in-industry.org/miis/id/document/137" xmlns="http://eprints.org/ep2/data/2.0">
        <docid>137</docid>
        <rev_number>1</rev_number>
        <eprintid>133</eprintid>
        <pos>1</pos>
        <format>application/pdf</format>
        <language>en</language>
        <security>public</security>
        <main>misg2007paper7.pdf</main>
        <files>
          <file>
            <filename>misg2007paper7.pdf</filename>
            <filesize>541028</filesize>
            <url>http://www.maths-in-industry.org/miis/133/1/misg2007paper7.pdf</url>
          </file>
        </files>
      </document>
    </documents>
  </eprint>

