Management of load demand considering a DG working on islanded mode

Diambomba Hyacinthe Tungadio, Yanxia Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents a load demand management of interconnected distributed generation (DG) working on islanded mode. The development of technology related to network integration and the use of energy renewable source continues to attract researches, today these sources can generate over a thousand kilowatts, that why it important to look after the management of load supplied by the DG specially when working in islanded mode. The proposed load management model took into account the energy from the storage system and the tie-lines power flow transfer constraints applying the optimal control theory. The proposed methodology considers two loads types: critical and non0critical and proposes a load management of DG interconnected system. All optimization problems were solved using Matlab environment.

Original languageEnglish
Title of host publication1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2021
EditorsRenu Sharma, Manoj Kumar Debnath
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728176635
DOIs
Publication statusPublished - 8 Jan 2021
Event1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2021 - Bhubaneswar, India
Duration: 8 Jan 20219 Jan 2021

Publication series

Name1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2021

Conference

Conference1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology, ODICON 2021
Country/TerritoryIndia
CityBhubaneswar
Period8/01/219/01/21

Keywords

  • Battery energy storage
  • Distributed generation
  • Load management
  • Renewable energy

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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