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 journalArticle

4 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

Fingerprint

Railroads
Integer programming
Purchasing
Energy storage
Electricity
Scheduling
Costs

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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