• DocumentCode
    1638820
  • Title

    Operating-conditions and decisions-driven test systems (OCDTS)

  • Author

    Ilic, Marija D.

  • Author_Institution
    Depts. of Electr. & Comput. Eng. (ECE) & Eng. Public Policy (EPP), Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    In this paper we stress that currently available test systems were developed by making major assumptions at the time when this was realistic to do. These test systems are only building blocks of a much larger puzzle that needs to be simulated and tested in the changing electric energy industry. It is practically impossible to integrate several test systems once developed in a stand-alone way into a more functional test systems capable of answering badly needed questions about system performance in the actual operations and over the prolonged periods of time when the conditions vary significantly and are often driven by the decisions along the way. We suggest that test systems for emulating the actual system operation, as well as for guiding the operator to make decisions according to multiple performance objectives are going to be essential to support integration of new technologies. In order to begin to fill this gap, we introduce a notion of “operating conditions and decisions-driven test systems” (OCDTS). We illustrate the applications of such test systems for answering questions concerning the type of dominant operating problem, the most critical constraints and the potential for improving system operations by adjusting other variables. We show how such an approach fundamentally helps those operating the system in making the most out of the available resources over time. Quantifiable benefits in terms of enhancing reliability, efficiency and environmental impacts are described.
  • Keywords
    power system reliability; smart power grids; OCDTS; dominant operating problem; electric energy industry; operating-conditions and decisions-driven test systems; Computers; Energy management; Investments; Measurement; Planning; Power system reliability; Reliability; Efficiency; Environment; Performance Metrics; Reliability; Test Systems for Smart Grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039889
  • Filename
    6039889