Automatic preprocessing scheme for real-time digital simulation

Hyeokjin Noh, Byongjun Lee, Jiyoung Song, Chulkyun Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    This paper presents the data preprocessing algorithm for real time digital simulation of large power systems based on energy management system data. Recently, the power systems have become complicated due to increase of distributed power, including renewable energy and High Voltage Direct Current & Flexible AC Transmission System. In order to overcome the technological limitations, there are more and more cases of analyzing real time operation characteristics through Real-Time Digital Simulator. However, because the Real-Time Digital Simulator has a load unit limit per rack, it is difficult to simulate large scale power systems. When analyzing large scale power systems, we often use data obtained from actual power system operation data through Energy Management System. In this paper, we propose a solution to solve various errors and reduce the load unit limit for real time digital simulation by processing Energy Management System data.

    Original languageEnglish
    Title of host publication2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538645369
    DOIs
    Publication statusPublished - 2018 Nov 26
    Event2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 - Portland, United States
    Duration: 2018 Sept 232018 Sept 27

    Publication series

    Name2018 IEEE Industry Applications Society Annual Meeting, IAS 2018

    Conference

    Conference2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
    Country/TerritoryUnited States
    CityPortland
    Period18/9/2318/9/27

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This work was supported by “Human Resources program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20174030201820) and this research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-4)

    Funding Information:
    This work was supported by “Human Resources program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20174030201820) and this research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-4)

    Publisher Copyright:
    © 2018 IEEE

    Keywords

    • Energy Management System
    • Large Scale Power Systems
    • Preprocessing Algorithm
    • Python
    • Real Time Digital Simulator

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment

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