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<front>
<journal-meta>
<journal-id journal-id-type="publisher">WESD</journal-id>
<journal-title-group>
<journal-title>Wind Energy Science Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">WESD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Wind Energ. Sci. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2366-7621</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/wes-2021-71</article-id>
<title-group>
<article-title>Dynamic robust active wake control</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kanev</surname>
<given-names>Stoyan</given-names>
<ext-link>https://orcid.org/0000-0002-9305-9591</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bot</surname>
<given-names>Edwin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>TNO Energy Transition, Wind Energy, Westerduinweg 3, 1755LE Petten, Netherlands</addr-line>
</aff>
<funding-group>
<award-group id="gs1">
<funding-source>Rijksdienst voor Ondernemend Nederland</funding-source>
<award-id>TKITOE_WOZ_2002_TNO_DysCon</award-id>
</award-group>
</funding-group>
<pub-date pub-type="epub">
<day>07</day>
<month>07</month>
<year>2021</year>
</pub-date>
<volume>2021</volume>
<fpage>1</fpage>
<lpage>30</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2021 Stoyan Kanev</copyright-statement>
<copyright-year>2021</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://wes.copernicus.org/preprints/wes-2021-71/">This article is available from https://wes.copernicus.org/preprints/wes-2021-71/</self-uri>
<self-uri xlink:href="https://wes.copernicus.org/preprints/wes-2021-71/wes-2021-71.pdf">The full text article is available as a PDF file from https://wes.copernicus.org/preprints/wes-2021-71/wes-2021-71.pdf</self-uri>
<abstract>
<p>&lt;p&gt;Active Wake Control (AWC) is a strategy for operating wind farms in a way to maximize the overall power production and/or reduce structural loading on the wind turbines. Many recent studies indicate that this technology, and more specifically the so-called wake redirection approach to AWC, have a significant potential for increasing the annual energy production by up to a few percentage points. The current state-of-the-art approach is to optimize AWC for a range of static wind conditions, which is expected to perform sub-optimally in real-life due to the continuous variations of the wind resource and the very slow yaw dynamics of the turbines. Recent work has addressed this variability in a robust design setting with the focus on maximizing the energy capture (robust AWC). This paper continues on this line of research, and develops a &lt;em&gt;dynamic&lt;/em&gt; robust AWC strategy that aims to optimize the balance between maximum power production (requiring increased level of yawing) and minimum loads on the yaw drive (requiring limited yaw motion). It is shown with a realistic case study that the developed dynamic robust AWC can result in a large reduction of the loading on the yaw drive while at the same time improving the overall power gain, as compared to the conventional nominal AWC.&lt;/p&gt;</p>
</abstract>
<counts><page-count count="30"/></counts>
</article-meta>
</front>
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