Optimization-based energy sharing among customers for enhanced resilience in a community microgrid

Sk Razibul Islam; Elizabeth L. Ratnam; Sid Chi Kin Chau; John K. Ward

doi:10.1145/3396851.3403515

Optimization-based energy sharing among customers for enhanced resilience in a community microgrid

Sk Razibul Islam
, Elizabeth L. Ratnam
, Sid Chi Kin Chau
, John K. Ward

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

1 Citation (Scopus)

Abstract

Distributed Energy Resources (DER) provides a unique opportunity to support communities in powering electric loads in case of wide spread power outages for a prolonged period. We propose an energy sharing approach among customers to supply load after a wide-spread and sustained power outage, leveraging rooftop solar photovoltaic (PV) generation. An optimization-based algorithm is proposed to facilitate the energy sharing approach, with an objective function designed to ensure rationality of individual participation. By means of a case study, we show that community sharing of DER resources enables more electricity to be supplied to each customer than what could be achieved if customers operated in isolation from one another.

Original language	English
Title of host publication	e-Energy'20 - Proceedings of the Eleventh ACM International Conference on Future Energy Systems
Editors	Sue Ann Chen
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	413-414
Number of pages	2
ISBN (Electronic)	9781450380096
DOIs	https://doi.org/10.1145/3396851.3403515
Publication status	Published - 2020
Externally published	Yes
Event	International Conference on Future Energy Systems 2020 - Virtual, Australia Duration: 22 Jun 2020 → 26 Jun 2020 Conference number: 11th https://dl-acm-org.ezproxy.lib.monash.edu.au/doi/proceedings/10.1145/3396851 (Proceedings) https://energy.acm.org/conferences/eenergy/2020/

Conference

Conference	International Conference on Future Energy Systems 2020
Abbreviated title	e-Energy 2020
Country/Territory	Australia
City	Virtual
Period	22/06/20 → 26/06/20
Internet address	https://dl-acm-org.ezproxy.lib.monash.edu.au/doi/proceedings/10.1145/3396851 (Proceedings) https://energy.acm.org/conferences/eenergy/2020/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

DERs
microgrid
optimization
resilience
solar PV

Access to Document

10.1145/3396851.3403515

Cite this

Islam, S. R., Ratnam, E. L., Chau, S. C. K., & Ward, J. K. (2020). Optimization-based energy sharing among customers for enhanced resilience in a community microgrid. In S. Ann Chen (Ed.), e-Energy'20 - Proceedings of the Eleventh ACM International Conference on Future Energy Systems (pp. 413-414). Association for Computing Machinery (ACM). https://doi.org/10.1145/3396851.3403515

@inproceedings{9b16c7a28f6142149defee9daea8af98,

title = "Optimization-based energy sharing among customers for enhanced resilience in a community microgrid",

abstract = "Distributed Energy Resources (DER) provides a unique opportunity to support communities in powering electric loads in case of wide spread power outages for a prolonged period. We propose an energy sharing approach among customers to supply load after a wide-spread and sustained power outage, leveraging rooftop solar photovoltaic (PV) generation. An optimization-based algorithm is proposed to facilitate the energy sharing approach, with an objective function designed to ensure rationality of individual participation. By means of a case study, we show that community sharing of DER resources enables more electricity to be supplied to each customer than what could be achieved if customers operated in isolation from one another.",

keywords = "DERs, microgrid, optimization, resilience, solar PV",

author = "Islam, \{Sk Razibul\} and Ratnam, \{Elizabeth L.\} and Chau, \{Sid Chi Kin\} and Ward, \{John K.\}",

note = "Publisher Copyright: {\textcopyright} 2020 ACM.; International Conference on Future Energy Systems 2020, e-Energy 2020 ; Conference date: 22-06-2020 Through 26-06-2020",

year = "2020",

doi = "10.1145/3396851.3403515",

language = "English",

pages = "413--414",

editor = "\{Ann Chen\}, Sue",

booktitle = "e-Energy'20 - Proceedings of the Eleventh ACM International Conference on Future Energy Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

url = "https://dl-acm-org.ezproxy.lib.monash.edu.au/doi/proceedings/10.1145/3396851, https://energy.acm.org/conferences/eenergy/2020/",

}

Islam, SR, Ratnam, EL, Chau, SCK & Ward, JK 2020, Optimization-based energy sharing among customers for enhanced resilience in a community microgrid. in S Ann Chen (ed.), e-Energy'20 - Proceedings of the Eleventh ACM International Conference on Future Energy Systems. Association for Computing Machinery (ACM), New York NY USA, pp. 413-414, International Conference on Future Energy Systems 2020, Virtual, Australia, 22/06/20. https://doi.org/10.1145/3396851.3403515

Optimization-based energy sharing among customers for enhanced resilience in a community microgrid. / Islam, Sk Razibul; Ratnam, Elizabeth L.; Chau, Sid Chi Kin et al.
e-Energy'20 - Proceedings of the Eleventh ACM International Conference on Future Energy Systems. ed. / Sue Ann Chen. New York NY USA: Association for Computing Machinery (ACM), 2020. p. 413-414.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - Optimization-based energy sharing among customers for enhanced resilience in a community microgrid

AU - Islam, Sk Razibul

AU - Ratnam, Elizabeth L.

AU - Chau, Sid Chi Kin

AU - Ward, John K.

N1 - Conference code: 11th

PY - 2020

Y1 - 2020

N2 - Distributed Energy Resources (DER) provides a unique opportunity to support communities in powering electric loads in case of wide spread power outages for a prolonged period. We propose an energy sharing approach among customers to supply load after a wide-spread and sustained power outage, leveraging rooftop solar photovoltaic (PV) generation. An optimization-based algorithm is proposed to facilitate the energy sharing approach, with an objective function designed to ensure rationality of individual participation. By means of a case study, we show that community sharing of DER resources enables more electricity to be supplied to each customer than what could be achieved if customers operated in isolation from one another.

AB - Distributed Energy Resources (DER) provides a unique opportunity to support communities in powering electric loads in case of wide spread power outages for a prolonged period. We propose an energy sharing approach among customers to supply load after a wide-spread and sustained power outage, leveraging rooftop solar photovoltaic (PV) generation. An optimization-based algorithm is proposed to facilitate the energy sharing approach, with an objective function designed to ensure rationality of individual participation. By means of a case study, we show that community sharing of DER resources enables more electricity to be supplied to each customer than what could be achieved if customers operated in isolation from one another.

KW - DERs

KW - microgrid

KW - optimization

KW - resilience

KW - solar PV

UR - https://www.scopus.com/pages/publications/85088512083

U2 - 10.1145/3396851.3403515

DO - 10.1145/3396851.3403515

M3 - Conference Paper

AN - SCOPUS:85088512083

SP - 413

EP - 414

BT - e-Energy'20 - Proceedings of the Eleventh ACM International Conference on Future Energy Systems

A2 - Ann Chen, Sue

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

T2 - International Conference on Future Energy Systems 2020

Y2 - 22 June 2020 through 26 June 2020

ER -

Optimization-based energy sharing among customers for enhanced resilience in a community microgrid

Abstract

Conference

UN SDGs

Keywords

Access to Document

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