• DocumentCode
    32184
  • Title

    First Evaluation Results Using the New Electrical Data Recorder for Power Grid Analysis

  • Author

    Maass, H. ; Cakmak, H.K. ; Suess, Wolfgang ; Quinte, Alexander ; Jakob, Wilfried ; Stucky, Karl-Uwe ; Kuehnapfel, Uwe G.

  • Author_Institution
    IAI, Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • Volume
    62
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    2384
  • Lastpage
    2390
  • Abstract
    Today, power systems are subject to fundamental changes concerning functionality and dynamics due to new energy sources and increasing demand. However, detailed information of the system and the system state is the property of the suppliers or distributors, and is not comprehensively available to researchers at present. We propose to capture easily accessible, high-rate, low-voltage (LV) time series at different locations, and to store the whole data for subsequent usage in a large database. A system state simulation shall use these data and provide for load information without knowing the currents. For this purpose, we develop the electrical data recorder (EDR) and perform measurements in our first starting test site, the island network like Karlsruhe Institute of Technology campus. We first present comparison results between captured voltage characteristics and campus smart meter measurements that we use as an indication of the load status. We develop the Electrical Grid Analysis Simulation Modeling and Visualization Tool (eASiMoV) and show feasibility in a simple simulation. We measure the storage transfer to the large-scale database facility and give evaluation results. The EDR device, the eASiMoV software, and data handling methods are exhibited as valuable components of a promising new approach.
  • Keywords
    computerised instrumentation; data handling; data recording; data visualisation; power grids; power system measurement; power system simulation; recorders; very large databases; EDR device; LV time series; campus smart meter measurements; captured voltage characteristics; data handling methods; eASiMoV; eASiMoV software; electrical data recorder; electrical grid analysis simulation modeling and visualization tool; energy sources; high-rate low-voltage time series; large-scale database facility; load information; power grid analysis; power systems; storage transfer; system state simulation; Analytical models; Data models; Databases; Load modeling; Power grids; Time series analysis; Voltage measurement; Large-scale data; power network simulation; power system analysis; smart grid modeling;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2013.2270923
  • Filename
    6557072