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  <titleInfo>
    <title>ROBUST OPTIMIZATION OF UNIT COMMITMENT PROBLEM WITH RENEWABLE RESOURCES AND ELECTRICAL ENERGY STORAGE</title>
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  <name>
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    <namePart>Kashyap, Prakash</namePart>
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  <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q131173017">
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    <namePart>Li, Zuyi</namePart>
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  <abstract>The Chinese proverb |\To be uncertain is to be uncomfortable, but to be cer- tain is to be ridiculous" |mention in the preface of the book Robust Optimization by Aharon Ben-Tal, Laurent El Ghaoui and Arkadi Nemirovski, truly capture the cer- tainty of uncertainty in every walk of life. However, it is human endeavor to manage uncertainty by properly engineered system. Power system is no exception. Uncer- tainty with load forecasting and contingencies such as generator and/or transmission line outages impose reliability and security issue with power system operation. In wholesale market, tools like spinning reserve and non-spinning reserve are used by ISO/RTO to mitigate severe consequences of such uncertainties. With increased share of highly volatile renewable energy resources such as wind and solar power, price-based demand response and electric vehicle charging station, uncertainty in power system operation is going to be further aggravated. A scenario based stochastic approach instead of system reserve based deterministic approach is considered another solution to the problem. However, scenario based stochastic solution may miss some critical scenarios. Secondly, we may need a large number of scenarios to get a su ciently reliable solution. In recent years, robust optimization based security constrained economic dis- patch (SCED) and security constrained unit commitment (SCUC) have been explored by several researchers. This thesis explores implementation of robust optimization for secure and economical operation of power system in presence of renewable energy resources (RES) and electrical energy storages (EES).</abstract>
  <note type="provenance">Submitted by Erma Thomas (thomase@iit.edu) on 2017-05-12T22:09:15Z No. of bitstreams: 1 etdadmin_upload_470966.zip: 329635 bytes, checksum: 5b9dbec0756b78e78bf8dbc7c1c03169 (MD5)</note>
  <note type="provenance">Made available in DSpace on 2017-05-12T22:09:15Z (GMT). No. of bitstreams: 1 etdadmin_upload_470966.zip: 329635 bytes, checksum: 5b9dbec0756b78e78bf8dbc7c1c03169 (MD5) Previous issue date: 2016-12</note>
  <note type="thesis">M.S. in Electrical Engineering, December 2016</note>
  <originInfo>
    <dateCaptured>2016</dateCaptured>
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  <originInfo>
    <dateCreated keyDate="yes">2016-12</dateCreated>
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  <identifier type="hdl">http://hdl.handle.net/10560/4029</identifier>
  <language>
    <languageTerm type="code" authority="rfc3066">en</languageTerm>
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  <subject>
    <topic>Electrical Energy Storage</topic>
  </subject>
  <subject>
    <topic>Renewable Resources</topic>
  </subject>
  <subject>
    <topic>Robust Optimization</topic>
  </subject>
  <subject>
    <topic>Security Constrained Economic Dispatch</topic>
  </subject>
  <subject>
    <topic>Security Constrained Unit Commitment</topic>
  </subject>
  <subject>
    <topic>Uncertainty Management</topic>
  </subject>
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  <name type="corporate">
    <namePart>ECE / Electrical and Computer Engineering</namePart>
    <affiliation>Illinois Institute of Technology</affiliation>
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