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  <titleInfo>
    <title>Electricity pricing</title>
    <subTitle>the case of the Vietnam electric power sector</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Bui Duy Thanh</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dang, G. V.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Shrestha, Ram M.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Lefevre, Thierry</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Government of France</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1994</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>88 leaves +1 online resource</extent>
  </physicalDescription>
  <abstract>In this thesis study costs of electricity supply are calculated for unified Vietnam power  system. Wien Automatic System Planning Package (WASP-3) is used for expansion planning.  Marginal capacity cost is computed using average incremental approach.  Continues linear programming has been utilized to formulate and solve problem of  production optimization, which is run later in XA software. The dual variables of the output of  XA are the direct input for calculating marginal energy cost. The day has been divided into three  periods, namely peak intermediate, base periods. Two seasons for all regions in the country have  been considered in this thesis. Costs of T&amp;D network expansion are taken directly from  references and included in capacity costs.  Finally, electricity supply costs are differentiated by seasons, voltage levels and time of  use. The highest capacity cost (19.61 $/kW/month) incurs at the peak period of the day during dry  season for low voltage level. Average capacity costs at generation, HV, MV LV are 6.35, 10.51,  12.21 , 15.51 $/kW/month respectively. The corresponding marginal energy costs are 2.61, 2.82,  3.08, 3.41 cent/kWh. Average price of electricity including both capacity and energy cost  component is about 6.655 cent/kWh. TOD tariffs are structured for industrial consumers,  commercial consumers at MV and HV levels. L V level tariffs do not include TOD charge. All  tariffs are structured for two seasons separately.  The new tariffs ensure financial robustness of electric sector. With cross subsidization  from MV and HV industrial consumers, a group of low income residents can enjoy certain  amount (920 GWh as a maximum for year 2000) of electricity with low price to meet their  minimum need (60 kWh per household per month). With the implementation of new tariffs,  power sector financial status is stable. The rate of return achieves target value from the year 2003  onward, self financing ratio depends on scenarios and may be as high as 36. 87%.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of  Engineering</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1994</note>
  <subject authority="lcsh">
    <topic>Electric utilities</topic>
    <topic>Vietnam</topic>
    <topic>Costs</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. ET-94-10</title>
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      <namePart>Asian Institute of Technology.</namePart>
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    </name>
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  <identifier type="uri"> http://203.159.5.9/ait-thesis/detail.php?q=B16224</identifier>
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