Load-leveling trainer for demand side management on a 45kW cyber-physical microgrid

Jonathan Diller, Peter Idowu, Javad Khazaei

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

Abstract

Improving the reliability and efficiency of microgrids to handle diverse load types will lead to more dependable electrical grids in small communities, reduce costs for both consumers and suppliers, and reduce carbon emissions. Better demand side management (DSM) has been proposed as a solution for creating more efficient m icrogrids a swell as limiting the need for increases in power generation capacity and transmission. This paper proposes a hardware implementation of DSM in an actual microgrid system to support grid needs. An algorithm for achieving DSM through load-leveling at the micro-level is presented and implemented on a physical microgrid and evaluated in order to create a Load-Leveling Trainer. A simulated case study, based on the electrical load needs of small communities in Bangladesh, is reviewed to prove that the Load-Leveling Trainer can be used to better balance electrical load demands.

Original languageEnglish (US)
Title of host publication2020 IEEE Texas Power and Energy Conference, TPEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728144368
DOIs
StatePublished - Feb 2020
Event2020 IEEE Texas Power and Energy Conference, TPEC 2020 - College Station, United States
Duration: Feb 6 2020Feb 7 2020

Publication series

Name2020 IEEE Texas Power and Energy Conference, TPEC 2020

Conference

Conference2020 IEEE Texas Power and Energy Conference, TPEC 2020
CountryUnited States
CityCollege Station
Period2/6/202/7/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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