Two-stage stochastic power generation scheduling in microgrids

A. A. Eajal; E. F. El-Saadany; Yousef Elrayani; K. Ponnambalam

doi:10.1109/CCECE.2014.6901021

Two-stage stochastic power generation scheduling in microgrids

A. A. Eajal
, E. F. El-Saadany
, Yousef Elrayani
, K. Ponnambalam

Electrical Engineering

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

8 Scopus citations

Abstract

In this study, the power scheduling problem in μ-grids is investigated taking the uncertainties in power demand and wind power into account. The problem is formulated as a stochastic mixed-integer linear optimization problem with the objective being minimizing the total μ-grid cost. The objective is subject to a set of operational constraints imposed on the generating units and the system itself. A two-stage stochastic programming method has been applied to find the optimal power generation schedule for a μ-grid. The developed approach was implemented in a General Algebraic Modeling System platform (GAMS). The developed method was tested on a μ-grid consisting of eight dispatchable units and a wind turbine. To demonstrate the necessity of uncertainty modeling, the value of the stochastic solution (VSS) and the expected value of perfect information (EVPI) were used to compare the stochastic power schedule obtained with the deterministic one.

Original language	British English
Title of host publication	Canadian Conference on Electrical and Computer Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479930999
DOIs	https://doi.org/10.1109/CCECE.2014.6901021
State	Published - 17 Sep 2014
Event	2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 - Toronto, Canada Duration: 4 May 2014 → 7 May 2014

Publication series

Name	Canadian Conference on Electrical and Computer Engineering
ISSN (Print)	0840-7789

Conference

Conference	2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014
Country/Territory	Canada
City	Toronto
Period	4/05/14 → 7/05/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Generation scheduling
renewable energy
stochastic optimization
uncertainty
μ-grid

Access to Document

10.1109/CCECE.2014.6901021

OpenUrl availability

Full text

Cite this

Eajal, A. A., El-Saadany, E. F., Elrayani, Y., & Ponnambalam, K. (2014). Two-stage stochastic power generation scheduling in microgrids. In Canadian Conference on Electrical and Computer Engineering Article 6901021 (Canadian Conference on Electrical and Computer Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCECE.2014.6901021

@inproceedings{859eea2857b6436f988d8dcaa2322144,

title = "Two-stage stochastic power generation scheduling in microgrids",

abstract = "In this study, the power scheduling problem in μ-grids is investigated taking the uncertainties in power demand and wind power into account. The problem is formulated as a stochastic mixed-integer linear optimization problem with the objective being minimizing the total μ-grid cost. The objective is subject to a set of operational constraints imposed on the generating units and the system itself. A two-stage stochastic programming method has been applied to find the optimal power generation schedule for a μ-grid. The developed approach was implemented in a General Algebraic Modeling System platform (GAMS). The developed method was tested on a μ-grid consisting of eight dispatchable units and a wind turbine. To demonstrate the necessity of uncertainty modeling, the value of the stochastic solution (VSS) and the expected value of perfect information (EVPI) were used to compare the stochastic power schedule obtained with the deterministic one.",

keywords = "Generation scheduling, renewable energy, stochastic optimization, uncertainty, μ-grid",

author = "Eajal, \{A. A.\} and El-Saadany, \{E. F.\} and Yousef Elrayani and K. Ponnambalam",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 ; Conference date: 04-05-2014 Through 07-05-2014",

year = "2014",

month = sep,

day = "17",

doi = "10.1109/CCECE.2014.6901021",

language = "British English",

series = "Canadian Conference on Electrical and Computer Engineering",

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

booktitle = "Canadian Conference on Electrical and Computer Engineering",

address = "United States",

}

Eajal, AA, El-Saadany, EF, Elrayani, Y & Ponnambalam, K 2014, Two-stage stochastic power generation scheduling in microgrids. in Canadian Conference on Electrical and Computer Engineering., 6901021, Canadian Conference on Electrical and Computer Engineering, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014, Toronto, Canada, 4/05/14. https://doi.org/10.1109/CCECE.2014.6901021

Two-stage stochastic power generation scheduling in microgrids. / Eajal, A. A.; El-Saadany, E. F.; Elrayani, Yousef et al.
Canadian Conference on Electrical and Computer Engineering. Institute of Electrical and Electronics Engineers Inc., 2014. 6901021 (Canadian Conference on Electrical and Computer Engineering).

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

TY - GEN

T1 - Two-stage stochastic power generation scheduling in microgrids

AU - Eajal, A. A.

AU - El-Saadany, E. F.

AU - Elrayani, Yousef

AU - Ponnambalam, K.

PY - 2014/9/17

Y1 - 2014/9/17

N2 - In this study, the power scheduling problem in μ-grids is investigated taking the uncertainties in power demand and wind power into account. The problem is formulated as a stochastic mixed-integer linear optimization problem with the objective being minimizing the total μ-grid cost. The objective is subject to a set of operational constraints imposed on the generating units and the system itself. A two-stage stochastic programming method has been applied to find the optimal power generation schedule for a μ-grid. The developed approach was implemented in a General Algebraic Modeling System platform (GAMS). The developed method was tested on a μ-grid consisting of eight dispatchable units and a wind turbine. To demonstrate the necessity of uncertainty modeling, the value of the stochastic solution (VSS) and the expected value of perfect information (EVPI) were used to compare the stochastic power schedule obtained with the deterministic one.

AB - In this study, the power scheduling problem in μ-grids is investigated taking the uncertainties in power demand and wind power into account. The problem is formulated as a stochastic mixed-integer linear optimization problem with the objective being minimizing the total μ-grid cost. The objective is subject to a set of operational constraints imposed on the generating units and the system itself. A two-stage stochastic programming method has been applied to find the optimal power generation schedule for a μ-grid. The developed approach was implemented in a General Algebraic Modeling System platform (GAMS). The developed method was tested on a μ-grid consisting of eight dispatchable units and a wind turbine. To demonstrate the necessity of uncertainty modeling, the value of the stochastic solution (VSS) and the expected value of perfect information (EVPI) were used to compare the stochastic power schedule obtained with the deterministic one.

KW - Generation scheduling

KW - renewable energy

KW - stochastic optimization

KW - uncertainty

KW - μ-grid

UR - https://www.scopus.com/pages/publications/84908425617

U2 - 10.1109/CCECE.2014.6901021

DO - 10.1109/CCECE.2014.6901021

M3 - Conference contribution

AN - SCOPUS:84908425617

T3 - Canadian Conference on Electrical and Computer Engineering

BT - Canadian Conference on Electrical and Computer Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014

Y2 - 4 May 2014 through 7 May 2014

ER -

Two-stage stochastic power generation scheduling in microgrids

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this