• DocumentCode
    163908
  • Title

    Using open source modeling tools to enhance engineering analysis

  • Author

    Fuller, Jason C. ; McHann, Stanley E. ; Sunderman, Wes

  • Author_Institution
    Adv. Power & Energy Syst., Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2014
  • fDate
    18-21 May 2014
  • Abstract
    There are several very capable open source engineering analysis tools that a utility can use to assist in solving engineering analysis problems. Applying these open source applications, alongside a commercial engineering analysis application, can be a very cost effective way for utility engineers to solve problems presented by newer technologies, such as Solar and Wind DG and PEV charging, using the data they already have in their commercial applications. In this paper we will use GridLAB-D, OpenDSS, and Milsoft´s WindMil, to show examples of today´s engineering analysis problems that can be solved using open source and commercial applications in concert with each other. The purpose of the paper is to show what is possible, and what is needed to use multiple analysis tools to solve more complex analysis. The purpose of the paper is not, for example, to complete a complex time series study on the affect of PV generation on a distribution network, which could be a paper on its own merit.
  • Keywords
    distribution networks; photovoltaic power systems; power system analysis computing; public domain software; GridLAB-D; Milsoft WindMil; OpenDSS; PV generation; distribution network; engineering analysis enhancement; open source engineering analysis tools; open source modeling tools; Analytical models; Computer aided software engineering; Control systems; Data models; Documentation; Harmonic analysis; Voltage measurement; Active Grid Management; Advanced Metering Infrastructure (AMI); Big Data; Data Analytics; Distribution Analysis; Distribution Automation; Distribution State Estimation; Load Flow Analysis; Real Time Distribution Feeder Analysis; S CAD A (System Control and Data Acquisition); Smart Grid; Smart Meters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rural Electric Power Conference (REPC), 2014 IEEE
  • Conference_Location
    Fort Worth, TX
  • ISSN
    0734-7464
  • Print_ISBN
    978-1-4799-3322-8
  • Type

    conf

  • DOI
    10.1109/REPCon.2014.6842209
  • Filename
    6842209