Optimization-based residential load scheduling to improve reliability in the distribution grid

Abdulelah H. Habib; Elizabeth L. Ratnam; Vahid R. Disfani; Jan Kleissl; Raymond A. De Callafon

doi:10.1109/CDC.2016.7798624

Optimization-based residential load scheduling to improve reliability in the distribution grid

Abdulelah H. Habib, Elizabeth L. Ratnam, Vahid R. Disfani, Jan Kleissl, Raymond A. De Callafon

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

6 Citations (Scopus)

Abstract

Despite the recent rapid adoption of rooftop solar PV for residential customers, islanded operation during grid outages remains elusive for most PV owners. In this paper we consider approaches to improve the reliability of electricity supply in the context of a residential microgrid, consisting of a group of residential customers each with rooftop solar PV, that are connected to the distribution network via a single point of common coupling. It is assumed that there is insufficient PV generation at all times to meet the electricity demand within the residential microgrid. Three optimization-based algorithms are proposed to improve the reliability of electricity supply to each residential customer, despite variability and intermittency of the solar resource and periods of infrequent and sustained power outages in the electricity grid. By means of a case study we show that the majority of residential customers achieve greater reliability of uninterrupted electricity supply when connecting to the residential microgrid in comparison to operating in isolated self-consumption mode.

Original language	English
Title of host publication	2016 IEEE 55th Conference on Decision and Control, CDC 2016
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2419-2424
Number of pages	6
ISBN (Electronic)	9781509018376
DOIs	https://doi.org/10.1109/CDC.2016.7798624
Publication status	Published - 2016
Externally published	Yes
Event	IEEE Conference on Decision and Control 2016 - Las Vegas, United States of America Duration: 12 Dec 2016 → 14 Dec 2016 Conference number: 55th https://ieeexplore.ieee.org/xpl/conhome/7786694/proceeding

Conference

Conference	IEEE Conference on Decision and Control 2016
Abbreviated title	CDC 2016
Country/Territory	United States of America
City	Las Vegas
Period	12/12/16 → 14/12/16
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7786694/proceeding

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10.1109/CDC.2016.7798624

Cite this

Habib, A. H., Ratnam, E. L., Disfani, V. R., Kleissl, J., & De Callafon, R. A. (2016). Optimization-based residential load scheduling to improve reliability in the distribution grid. In 2016 IEEE 55th Conference on Decision and Control, CDC 2016 (pp. 2419-2424). Article 7798624 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2016.7798624

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title = "Optimization-based residential load scheduling to improve reliability in the distribution grid",

abstract = "Despite the recent rapid adoption of rooftop solar PV for residential customers, islanded operation during grid outages remains elusive for most PV owners. In this paper we consider approaches to improve the reliability of electricity supply in the context of a residential microgrid, consisting of a group of residential customers each with rooftop solar PV, that are connected to the distribution network via a single point of common coupling. It is assumed that there is insufficient PV generation at all times to meet the electricity demand within the residential microgrid. Three optimization-based algorithms are proposed to improve the reliability of electricity supply to each residential customer, despite variability and intermittency of the solar resource and periods of infrequent and sustained power outages in the electricity grid. By means of a case study we show that the majority of residential customers achieve greater reliability of uninterrupted electricity supply when connecting to the residential microgrid in comparison to operating in isolated self-consumption mode.",

author = "Habib, {Abdulelah H.} and Ratnam, {Elizabeth L.} and Disfani, {Vahid R.} and Jan Kleissl and {De Callafon}, {Raymond A.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE Conference on Decision and Control 2016, CDC 2016 ; Conference date: 12-12-2016 Through 14-12-2016",

year = "2016",

doi = "10.1109/CDC.2016.7798624",

language = "English",

pages = "2419--2424",

booktitle = "2016 IEEE 55th Conference on Decision and Control, CDC 2016",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Habib, AH, Ratnam, EL, Disfani, VR, Kleissl, J & De Callafon, RA 2016, Optimization-based residential load scheduling to improve reliability in the distribution grid. in 2016 IEEE 55th Conference on Decision and Control, CDC 2016., 7798624, IEEE, Institute of Electrical and Electronics Engineers, pp. 2419-2424, IEEE Conference on Decision and Control 2016, Las Vegas, Nevada, United States of America, 12/12/16. https://doi.org/10.1109/CDC.2016.7798624

Optimization-based residential load scheduling to improve reliability in the distribution grid. / Habib, Abdulelah H.; Ratnam, Elizabeth L.; Disfani, Vahid R. et al.
2016 IEEE 55th Conference on Decision and Control, CDC 2016. IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 2419-2424 7798624.

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

TY - GEN

T1 - Optimization-based residential load scheduling to improve reliability in the distribution grid

AU - Habib, Abdulelah H.

AU - Ratnam, Elizabeth L.

AU - Disfani, Vahid R.

AU - Kleissl, Jan

AU - De Callafon, Raymond A.

N1 - Conference code: 55th

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N2 - Despite the recent rapid adoption of rooftop solar PV for residential customers, islanded operation during grid outages remains elusive for most PV owners. In this paper we consider approaches to improve the reliability of electricity supply in the context of a residential microgrid, consisting of a group of residential customers each with rooftop solar PV, that are connected to the distribution network via a single point of common coupling. It is assumed that there is insufficient PV generation at all times to meet the electricity demand within the residential microgrid. Three optimization-based algorithms are proposed to improve the reliability of electricity supply to each residential customer, despite variability and intermittency of the solar resource and periods of infrequent and sustained power outages in the electricity grid. By means of a case study we show that the majority of residential customers achieve greater reliability of uninterrupted electricity supply when connecting to the residential microgrid in comparison to operating in isolated self-consumption mode.

AB - Despite the recent rapid adoption of rooftop solar PV for residential customers, islanded operation during grid outages remains elusive for most PV owners. In this paper we consider approaches to improve the reliability of electricity supply in the context of a residential microgrid, consisting of a group of residential customers each with rooftop solar PV, that are connected to the distribution network via a single point of common coupling. It is assumed that there is insufficient PV generation at all times to meet the electricity demand within the residential microgrid. Three optimization-based algorithms are proposed to improve the reliability of electricity supply to each residential customer, despite variability and intermittency of the solar resource and periods of infrequent and sustained power outages in the electricity grid. By means of a case study we show that the majority of residential customers achieve greater reliability of uninterrupted electricity supply when connecting to the residential microgrid in comparison to operating in isolated self-consumption mode.

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BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE Conference on Decision and Control 2016

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Optimization-based residential load scheduling to improve reliability in the distribution grid

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