Optimal power and heat scheduling of microgrids under renewable generation uncertainties

Mojtaba Mohseni; Mehrdad Abedi; Hossein Jafari; Ehsan Heydarian-Forushani; Ameena Saad Al-Sumaiti

doi:10.1109/SPIES48661.2020.9242982

Optimal power and heat scheduling of microgrids under renewable generation uncertainties

Mojtaba Mohseni
, Mehrdad Abedi
, Hossein Jafari
, Ehsan Heydarian-Forushani
, Ameena Saad Al-Sumaiti

Electrical Engineering

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

3 Scopus citations

Abstract

Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer's heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.

Original language	British English
Title of host publication	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	311-315
Number of pages	5
ISBN (Electronic)	9781728166117
DOIs	https://doi.org/10.1109/SPIES48661.2020.9242982
State	Published - 15 Sep 2020
Event	2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 - Bangkok, Thailand Duration: 15 Sep 2020 → 18 Sep 2020

Publication series

Name	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

Conference

Conference	2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Country/Territory	Thailand
City	Bangkok
Period	15/09/20 → 18/09/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Microgrid
Monte Carlo simulation
Operation
Uncertainty

Access to Document

10.1109/SPIES48661.2020.9242982

OpenUrl availability

Full text

Cite this

Mohseni, M., Abedi, M., Jafari, H., Heydarian-Forushani, E., & Al-Sumaiti, A. S. (2020). Optimal power and heat scheduling of microgrids under renewable generation uncertainties. In 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 (pp. 311-315). Article 9242982 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPIES48661.2020.9242982

Mohseni, Mojtaba ; Abedi, Mehrdad ; Jafari, Hossein et al. / Optimal power and heat scheduling of microgrids under renewable generation uncertainties. 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 311-315 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020).

@inproceedings{a5abef8993b747e1ab256eefcc0f6352,

title = "Optimal power and heat scheduling of microgrids under renewable generation uncertainties",

abstract = "Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer's heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.",

keywords = "Microgrid, Monte Carlo simulation, Operation, Uncertainty",

author = "Mojtaba Mohseni and Mehrdad Abedi and Hossein Jafari and Ehsan Heydarian-Forushani and Al-Sumaiti, \{Ameena Saad\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 ; Conference date: 15-09-2020 Through 18-09-2020",

year = "2020",

month = sep,

day = "15",

doi = "10.1109/SPIES48661.2020.9242982",

language = "British English",

series = "2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020",

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

pages = "311--315",

booktitle = "2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020",

address = "United States",

}

Mohseni, M, Abedi, M, Jafari, H, Heydarian-Forushani, E & Al-Sumaiti, AS 2020, Optimal power and heat scheduling of microgrids under renewable generation uncertainties. in 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020., 9242982, 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, Institute of Electrical and Electronics Engineers Inc., pp. 311-315, 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, Bangkok, Thailand, 15/09/20. https://doi.org/10.1109/SPIES48661.2020.9242982

Optimal power and heat scheduling of microgrids under renewable generation uncertainties. / Mohseni, Mojtaba; Abedi, Mehrdad; Jafari, Hossein et al.
2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 311-315 9242982 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020).

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

TY - GEN

T1 - Optimal power and heat scheduling of microgrids under renewable generation uncertainties

AU - Mohseni, Mojtaba

AU - Abedi, Mehrdad

AU - Jafari, Hossein

AU - Heydarian-Forushani, Ehsan

AU - Al-Sumaiti, Ameena Saad

PY - 2020/9/15

Y1 - 2020/9/15

N2 - Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer's heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.

AB - Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer's heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.

KW - Microgrid

KW - Monte Carlo simulation

KW - Operation

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/85096934267

U2 - 10.1109/SPIES48661.2020.9242982

DO - 10.1109/SPIES48661.2020.9242982

M3 - Conference contribution

AN - SCOPUS:85096934267

T3 - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

SP - 311

EP - 315

BT - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

Y2 - 15 September 2020 through 18 September 2020

ER -

Mohseni M, Abedi M, Jafari H, Heydarian-Forushani E, Al-Sumaiti AS. Optimal power and heat scheduling of microgrids under renewable generation uncertainties. In 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 311-315. 9242982. (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020). doi: 10.1109/SPIES48661.2020.9242982

Optimal power and heat scheduling of microgrids under renewable generation uncertainties

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this