University of SaskatchewanHARVEST
  • Login
  • Submit Your Research
  • About
    • About HARVEST
    • Guidelines
    • Browse
      • All of HARVEST
      • Communities & Collections
      • By Issue Date
      • Authors
      • Titles
      • Subjects
      • This Collection
      • By Issue Date
      • Authors
      • Titles
      • Subjects
    • My Account
      • Login
      JavaScript is disabled for your browser. Some features of this site may not work without it.
      View Item 
      • HARVEST
      • Electronic Theses and Dissertations
      • Graduate Theses and Dissertations
      • View Item
      • HARVEST
      • Electronic Theses and Dissertations
      • Graduate Theses and Dissertations
      • View Item

      A PROBABILITY DISTRIBUTION APPROACH TO DESCRIBE CUSTOMER COSTS DUE TO ELECTRIC SUPPLY INTERRUPTIONS

      Thumbnail
      View/Open
      Chan_Eva_K_Y_1993_sec.pdf (12.49Mb)
      Date
      1993-06
      Author
      Chan, Eva K Y
      Type
      Thesis
      Degree Level
      Masters
      Metadata
      Show full item record
      Abstract
      Reliability worth assessment is an important aspect of power system planning and operation. An equally important issue is how to utilize customer costs of electric supply interruption as surrogates to appropriately quantify reliability worth. The objective of this research work was to develop a practical alternative to the conventional customer damage function (CDF) method, to describe the interruption cost data. The alternate technique is designated in this thesis as the probability distribution approach. The fundamental cost data utilized in this thesis comes from the 1991 cost of interruption study performed by the Power Systems Research Group at the University of Saskatchewan which surveyed residential, agricultural, commercial and small industrial customers. This project was sponsored by the Natural Sciences and Engineering Research Council of Canada and eight participating utilities. The probability distribution cost model developed in this thesis is capable of recognizing the dispersed nature of the outage cost data and can be used in a wide range of studies in each electric power system functional zone and hierarchical level. The generation of a three dimensional sector customer damage function, which describes the cost distribution patterns as a function of outage duration, is illustrated. A Monte Carlo simulation approach is utilized to estimate the Interrupted Energy Assessment Rate (MAR) using the two different cost modeling approaches. The analysis clearly shows that the MAR estimated using the distribution model is considerably larger than the value obtained using the CDF method. This thesis also illustrates the application of the MAR in conjunction with the various system operating and reliability data to conduct HLI cost / benefit assessments. The procedure is demonstrated using a small hypothetical test system.
      Degree
      Master of Science (M.Sc.)
      Department
      Electrical and Computer Engineering
      Program
      Electrical Engineering
      Supervisor
      Billinton, R.
      Copyright Date
      June 1993
      URI
      http://hdl.handle.net/10388/11577
      Collections
      • Graduate Theses and Dissertations
      University of Saskatchewan

      University Library

      © University of Saskatchewan
      Contact Us | Disclaimer | Privacy