Mixed integer programming (MIP)-based energy storage system scheduling method for reducing the electricity purchasing cost in an urban railroad system

Rakkyung Ko, Seongbae Kong, Sung Kwan Joo

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    Increasing peak load is one of the major concerns about operation of urban railroad systems. Since ESSs (Energy Storage Systems) have a great potential for shaving the peak load, there has been a growing interest in the use of ESS for peak load reduction. Also, ESS can be optimally scheduled to minimize the electricity purchasing cost under a given ToU (Time-of-Use) tariff by taking advantage of electricity price difference between peak and off-peak time. This paper presents a Mixed Integer Programming (MIP)-based ESS scheduling method to minimize the electricity purchasing cost under a ToU tariff for an urban railroad system.

    Original languageEnglish
    Pages (from-to)1125-1129
    Number of pages5
    JournalTransactions of the Korean Institute of Electrical Engineers
    Volume64
    Issue number7
    DOIs
    Publication statusPublished - 2015 Jul 1

    Bibliographical note

    Publisher Copyright:
    Copyright © The Korean Institute of Electrical Engineers.

    Keywords

    • ESS scheduling
    • Energy storage system
    • Peak shaving
    • Urban railroad system

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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