Utilization of energy storage system based on the assessment of area of severity in Islanded microgrid

Kyebyung Lee, Minhan Yoon, Chang Hyun Park, Gilsoo Jang

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    This paper proposes a method to utilize an energy storage system (ESS) based on the assessment of an area of severity (AOS) to voltage sag. The AOS is defined as a set of the fault positions that can cause voltage sags at many buses simultaneously. The assessment of AOS helps to determine an optimal location of ESS installation to minimize the expected sag frequency (ESF) at concerned buses. The ESS has the ability not only to play traditionally known roles but also to mitigate voltage sag impact on renewable energy sources (RES) in the islanded microgrid. Accordingly, using the proposed method the ESS has additional features to prevent the operation failure of RESs and improve the stability of the microgrid. In order to verify the presented method, a case study was conducted on the sample microgrid system that is modified from an IEEE 57-bus system.

    Original languageEnglish
    Pages (from-to)569-575
    Number of pages7
    JournalJournal of Electrical Engineering and Technology
    Volume12
    Issue number2
    DOIs
    Publication statusPublished - 2017 Mar

    Bibliographical note

    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. 20154030200610, and No. 20131020000100).

    Publisher Copyright:
    © The Korean Institute of Electrical Engineers.

    Keywords

    • Area of severity (AOS)
    • Energy storage system (ESS)
    • Microgrid
    • Stochastic assessment
    • Voltage sag

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Fingerprint

    Dive into the research topics of 'Utilization of energy storage system based on the assessment of area of severity in Islanded microgrid'. Together they form a unique fingerprint.

    Cite this