• DocumentCode
    2486987
  • Title

    Screening of load patterns and transmission planning alternatives using decision trees

  • Author

    Mukherjee, Srijib ; Wojszczyk, Bartosz

  • Author_Institution
    Quanta Technol., Raleigh
  • fYear
    2007
  • fDate
    19-24 Aug. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The idea of using power system models in problem solving and decision analysis is really not new, and is certainly not tied to the use of computers. At some point, all of us have used a modeling approach to make a decision. A typical decision tree is used to identify a strategy most likely to reach a goal. This paper describes two methodologies for finding optimal solutions to budgeting and planning processes with the use of decision trees. The first methodology describes Load Patterns for building better load profiles for generators that may help a Plant Manager to optimally budget the operating costs of a generating unit. A second methodology shows a process of screening Transmission alternatives for identifying optimal solutions based on cost and network security. Decision Trees help make good decisions, but cannot guarantee that good outcomes will always occur as a result of those decisions. However, using a structured modeling approach to decision making should produce good outcomes more frequently than making decisions in a more haphazard manner.
  • Keywords
    data mining; decision trees; distributed decision making; telecommunication security; decision making; decision trees; load patterns; network security; structured modeling approach; transmission planning alternatives; Cost function; Decision making; Decision trees; Load flow; Power system analysis computing; Power system dynamics; Power system modeling; Power system planning; Power system reliability; Power transmission lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability, 2007 iREP Symposium
  • Conference_Location
    Charleston, SC
  • Print_ISBN
    978-1-4244-1519-9
  • Electronic_ISBN
    978-1-4244-1519-9
  • Type

    conf

  • DOI
    10.1109/IREP.2007.4410537
  • Filename
    4410537