Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques

Mahmoud M. Gamil; Hasan Masrur; Kashem M. Muttaqi; Yongyi Huang; Mohammed Elsayed Lotfy; Tomonobu Senjyu

doi:10.1109/IAS54023.2022.9939886

Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques

Mahmoud M. Gamil
, Hasan Masrur
, Kashem M. Muttaqi
, Yongyi Huang
, Mohammed Elsayed Lotfy
, Tomonobu Senjyu

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

8 Scopus citations

Abstract

Electrical load reshaping plays an important role in optimal power scheduling and emission reduction. Vehicle-to-grid (V2G) strategies offer an appropriate control option for flatting load duration curves despite the high burden of electric vehicles on the utility grid. Charging EV s from renewable sources is the only solution for reducing electric grid's emissions, so establishing new microgrids which depend mainly on renewable energy is highly encouraged these days. The novelty of this paper demonstrated in studying the emission reduction and multi-objective optimal power scheduling of the residential microgrids considering EVs' charging/discharging management and demand response programs. Two case studies are discussed in this research; the first one is the system without EV integration, and the second case study represents the integration of controlled EV s. The obtained results show a significant reduction in the system cost by integrating EV s to the system.

Original language	English
Title of host publication	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665478151
DOIs	https://doi.org/10.1109/IAS54023.2022.9939886
State	Published - 2022
Externally published	Yes
Event	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 - Detroit, United States Duration: 9 Oct 2022 → 14 Oct 2022

Publication series

Name	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume	2022-October
ISSN (Print)	0197-2618

Conference

Conference	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Country/Territory	United States
City	Detroit
Period	9/10/22 → 14/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Demand Response
Electric Vehicle
MOGOA
ToU
micro-grids

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IAS54023.2022.9939886

Cite this

Gamil, M. M., Masrur, H., Muttaqi, K. M., Huang, Y., Lotfy, M. E., & Senjyu, T. (2022). Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques. In 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society); Vol. 2022-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS54023.2022.9939886

Gamil, Mahmoud M. ; Masrur, Hasan ; Muttaqi, Kashem M. et al. / Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques. 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)).

@inproceedings{749203525aac4d3583baf11afac775d6,

title = "Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques",

abstract = "Electrical load reshaping plays an important role in optimal power scheduling and emission reduction. Vehicle-to-grid (V2G) strategies offer an appropriate control option for flatting load duration curves despite the high burden of electric vehicles on the utility grid. Charging EV s from renewable sources is the only solution for reducing electric grid's emissions, so establishing new microgrids which depend mainly on renewable energy is highly encouraged these days. The novelty of this paper demonstrated in studying the emission reduction and multi-objective optimal power scheduling of the residential microgrids considering EVs' charging/discharging management and demand response programs. Two case studies are discussed in this research; the first one is the system without EV integration, and the second case study represents the integration of controlled EV s. The obtained results show a significant reduction in the system cost by integrating EV s to the system.",

keywords = "Demand Response, Electric Vehicle, MOGOA, ToU, micro-grids",

author = "Gamil, \{Mahmoud M.\} and Hasan Masrur and Muttaqi, \{Kashem M.\} and Yongyi Huang and Lotfy, \{Mohammed Elsayed\} and Tomonobu Senjyu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 ; Conference date: 09-10-2022 Through 14-10-2022",

year = "2022",

doi = "10.1109/IAS54023.2022.9939886",

language = "English",

series = "Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Gamil, MM, Masrur, H, Muttaqi, KM, Huang, Y, Lotfy, ME & Senjyu, T 2022, Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques. in 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), vol. 2022-October, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022, Detroit, United States, 9/10/22. https://doi.org/10.1109/IAS54023.2022.9939886

Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques. / Gamil, Mahmoud M.; Masrur, Hasan; Muttaqi, Kashem M. et al.
2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society); Vol. 2022-October).

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

TY - GEN

T1 - Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques

AU - Gamil, Mahmoud M.

AU - Masrur, Hasan

AU - Muttaqi, Kashem M.

AU - Huang, Yongyi

AU - Lotfy, Mohammed Elsayed

AU - Senjyu, Tomonobu

PY - 2022

Y1 - 2022

N2 - Electrical load reshaping plays an important role in optimal power scheduling and emission reduction. Vehicle-to-grid (V2G) strategies offer an appropriate control option for flatting load duration curves despite the high burden of electric vehicles on the utility grid. Charging EV s from renewable sources is the only solution for reducing electric grid's emissions, so establishing new microgrids which depend mainly on renewable energy is highly encouraged these days. The novelty of this paper demonstrated in studying the emission reduction and multi-objective optimal power scheduling of the residential microgrids considering EVs' charging/discharging management and demand response programs. Two case studies are discussed in this research; the first one is the system without EV integration, and the second case study represents the integration of controlled EV s. The obtained results show a significant reduction in the system cost by integrating EV s to the system.

AB - Electrical load reshaping plays an important role in optimal power scheduling and emission reduction. Vehicle-to-grid (V2G) strategies offer an appropriate control option for flatting load duration curves despite the high burden of electric vehicles on the utility grid. Charging EV s from renewable sources is the only solution for reducing electric grid's emissions, so establishing new microgrids which depend mainly on renewable energy is highly encouraged these days. The novelty of this paper demonstrated in studying the emission reduction and multi-objective optimal power scheduling of the residential microgrids considering EVs' charging/discharging management and demand response programs. Two case studies are discussed in this research; the first one is the system without EV integration, and the second case study represents the integration of controlled EV s. The obtained results show a significant reduction in the system cost by integrating EV s to the system.

KW - Demand Response

KW - Electric Vehicle

KW - MOGOA

KW - ToU

KW - micro-grids

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M3 - Conference contribution

AN - SCOPUS:85142827750

T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

BT - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

Y2 - 9 October 2022 through 14 October 2022

ER -

Gamil MM, Masrur H, Muttaqi KM, Huang Y, Lotfy ME, Senjyu T. Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques. In 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)). doi: 10.1109/IAS54023.2022.9939886

Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this