An optimal scheduling of battery output and load control for loss minimizing islanding operation of distribution networks in emergency

Masanori Abe, Hiromi Saito

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

2 Citations (Scopus)

Abstract

This paper proposes how to determine optimal power flow (OPF) to realize emergency islanding operation of distribution networks by using distributed generators (DGs) and electric vehicles (EVs). Since the purpose of the emergency islanding operation is to keep the power supply capability as long as possible, the most important strategy is minimization of energy loss, which consists of charge-discharge loss of batteries and ohmic loss in distribution lines. This paper proposes formulation of OPF problem to minimize the energy loss and solution algorithm, and that Lagrange multipliers are useful for determination of load shift to reduce the energy loss further.

Original languageEnglish
Title of host publicationProceedings - 2014 Power Systems Computation Conference, PSCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788393580132
DOIs
Publication statusPublished - 2014 Feb 10
Event2014 Power Systems Computation Conference, PSCC 2014 - Wroclaw, Poland
Duration: 2014 Aug 182014 Aug 22

Publication series

NameProceedings - 2014 Power Systems Computation Conference, PSCC 2014

Other

Other2014 Power Systems Computation Conference, PSCC 2014
CountryPoland
CityWroclaw
Period14/8/1814/8/22

Keywords

  • Distribution networks
  • Electric vehicle
  • Islanding operation
  • Lagrange multplier
  • Oprimal power flow

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Abe, M., & Saito, H. (2014). An optimal scheduling of battery output and load control for loss minimizing islanding operation of distribution networks in emergency. In Proceedings - 2014 Power Systems Computation Conference, PSCC 2014 [7038337] (Proceedings - 2014 Power Systems Computation Conference, PSCC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PSCC.2014.7038337