Energy cost optimization and DER scheduling for unified energy management system of residential neighborhood

M. S. H. Nizami, M. J. Hossain, Khizir Mahmud, Jayashri Ravishankar

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

13 Citations (Scopus)

Abstract

Consumers with distributed energy resources (DERs) and intelligent building energy management systems (BEMS) can achieve significant electricity bill reduction by participating in demand response (DR) programs. DR encourages the active consumer to alter their demand profile in response to time-varying electricity tariff or economic incentives. However, large-scale adoption of such DR schemes and BEMS in neighborhood area can lead to rebound peaks when electricity is cheaper. This paper proposes a unified approach to energy management system for a residential neighborhood that mitigates the demand peaks of the neighborhood and provides electricity bill reduction to the participating consumers. An optimization model has been developed that minimizes the energy cost of the participating consumers while reducing aggregated demand peaks in the neighborhood by scheduling the charge-discharge operation of residential storage units and energy sharing among neighbors. The effectiveness of the proposed neighborhood energy management system (NEMS) model is evaluated via a case study for a residential neighborhood in Sydney, Australia with actual electricity meter data and time of use (TOU) tariff structure for the neighborhood. Simulation results indicate the efficacy of the proposed NEMS framework and optimization model in terms of electricity bill reduction and demand peaks mitigation.

Original languageEnglish
Title of host publicationConference Proceedings 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I & CPS Europe)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781538651865, 9781538651858
ISBN (Print)9781538651872
DOIs
Publication statusPublished - 2018
Event2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 - Palermo, Italy
Duration: 12 Jun 201815 Jun 2018

Conference

Conference2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018
CountryItaly
CityPalermo
Period12/06/1815/06/18

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