A Dynamic Load Control Strategy for an Efficient Building Demand Response

Konrad Erich Kork Schmitt, Ilham Osman, Rabindra Bhatta, Mahtab Murshed, Manohar Chamana, Stephen Bayne

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

Abstract

This paper proposes a computationally efficient building energy management algorithm for demand response that can serve as a grid-ancillary system. The controller aims to regulate flexible loads and intelligent switches, complying with the utility's request. The control algorithm dynamically optimizes the load's configuration of the building. This optimization is based on the required power consumption level and the resident's actual comfort constraints. Since the load-matrix considered by the proposed algorithm is computationally expensive, a novel region-selection approach is incorporated in the algorithm to make the strategy computationally efficient. The proposed algorithm is validated through OPAL-RT Real-Time Digital Simulation with Raspberry Pi. The test results show that the algorithm is capable of curtailing controllable loads during emergencies and outage scenarios to maintain an uninterrupted supply to the critical loads and respect the power limit request of the building.

Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages819-826
Number of pages8
ISBN (Electronic)9781728151359
DOIs
StatePublished - 2021
Event13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada
Duration: Oct 10 2021Oct 14 2021

Publication series

Name2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/10/2110/14/21

Keywords

  • Ancillary Service
  • Building Control
  • Demand Response
  • Energy Management
  • Resiliency.

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