Stochastic energy coordination in hybrid AC/DC smart grids

A. A. Eajal; E. F. El-Saadany; Mostafa F. Shaaban; K. Ponnambalam

doi:10.1109/EPEC.2015.7379943

Stochastic energy coordination in hybrid AC/DC smart grids

A. A. Eajal
, E. F. El-Saadany
, Mostafa F. Shaaban
, K. Ponnambalam

Electrical Engineering

University of Waterloo
American University of Sharjah

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

1 Scopus citations

Abstract

This paper presents stochastic energy management system (S-EMS) in hybrid ac/dc smart grids. The developed SEMS coordinates the operations of various distributed resources (DRs), i.e., distributed generators (DGs) and energy storage systems (ESSs). It also ensures coordinated charging of the plugin electric vehicles (PEVs). The energy management problem is formulated as a two-stage day-ahead resource scheduling problem with both the intermittent supply and the variable PEV demand modeled as random variables. The first-stage determines the unit commitment (UC) decisions for the next 24 hours, while the second-stage determines the corrective decisions, which include the import/export schedule, the storage charging/discharging cycles, and the PEV charging patterns for a set of possible scenarios. The objective is to minimize the expected total operating cost while satisfying the operational and technical constraints. The developed centralized two-stage stochastic EMS model is tested on a 38-bus hybrid ac/dc distribution system. The simulation results demonstrate the effectiveness of the developed EMS model to optimally coordinate the various components of the future hybrid ac/dc smart grid.

Original language	British English
Title of host publication	2015 IEEE Electrical Power and Energy Conference
Subtitle of host publication	Smarter Resilient Power Systems, EPEC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	158-163
Number of pages	6
ISBN (Electronic)	9781479976645
DOIs	https://doi.org/10.1109/EPEC.2015.7379943
State	Published - 12 Jan 2016
Event	IEEE Electrical Power and Energy Conference, EPEC 2015 - London, Canada Duration: 26 Oct 2015 → 28 Oct 2015

Publication series

Name	2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015

Conference

Conference	IEEE Electrical Power and Energy Conference, EPEC 2015
Country/Territory	Canada
City	London
Period	26/10/15 → 28/10/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/EPEC.2015.7379943

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Eajal, A. A., El-Saadany, E. F., Shaaban, M. F., & Ponnambalam, K. (2016). Stochastic energy coordination in hybrid AC/DC smart grids. In 2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015 (pp. 158-163). Article 7379943 (2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEC.2015.7379943

Eajal, A. A. ; El-Saadany, E. F. ; Shaaban, Mostafa F. et al. / Stochastic energy coordination in hybrid AC/DC smart grids. 2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 158-163 (2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015).

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title = "Stochastic energy coordination in hybrid AC/DC smart grids",

abstract = "This paper presents stochastic energy management system (S-EMS) in hybrid ac/dc smart grids. The developed SEMS coordinates the operations of various distributed resources (DRs), i.e., distributed generators (DGs) and energy storage systems (ESSs). It also ensures coordinated charging of the plugin electric vehicles (PEVs). The energy management problem is formulated as a two-stage day-ahead resource scheduling problem with both the intermittent supply and the variable PEV demand modeled as random variables. The first-stage determines the unit commitment (UC) decisions for the next 24 hours, while the second-stage determines the corrective decisions, which include the import/export schedule, the storage charging/discharging cycles, and the PEV charging patterns for a set of possible scenarios. The objective is to minimize the expected total operating cost while satisfying the operational and technical constraints. The developed centralized two-stage stochastic EMS model is tested on a 38-bus hybrid ac/dc distribution system. The simulation results demonstrate the effectiveness of the developed EMS model to optimally coordinate the various components of the future hybrid ac/dc smart grid.",

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Eajal, AA, El-Saadany, EF, Shaaban, MF & Ponnambalam, K 2016, Stochastic energy coordination in hybrid AC/DC smart grids. in 2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015., 7379943, 2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 158-163, IEEE Electrical Power and Energy Conference, EPEC 2015, London, Canada, 26/10/15. https://doi.org/10.1109/EPEC.2015.7379943

Stochastic energy coordination in hybrid AC/DC smart grids. / Eajal, A. A.; El-Saadany, E. F.; Shaaban, Mostafa F. et al.
2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 158-163 7379943 (2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015).

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

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AU - Eajal, A. A.

AU - El-Saadany, E. F.

AU - Shaaban, Mostafa F.

AU - Ponnambalam, K.

PY - 2016/1/12

Y1 - 2016/1/12

N2 - This paper presents stochastic energy management system (S-EMS) in hybrid ac/dc smart grids. The developed SEMS coordinates the operations of various distributed resources (DRs), i.e., distributed generators (DGs) and energy storage systems (ESSs). It also ensures coordinated charging of the plugin electric vehicles (PEVs). The energy management problem is formulated as a two-stage day-ahead resource scheduling problem with both the intermittent supply and the variable PEV demand modeled as random variables. The first-stage determines the unit commitment (UC) decisions for the next 24 hours, while the second-stage determines the corrective decisions, which include the import/export schedule, the storage charging/discharging cycles, and the PEV charging patterns for a set of possible scenarios. The objective is to minimize the expected total operating cost while satisfying the operational and technical constraints. The developed centralized two-stage stochastic EMS model is tested on a 38-bus hybrid ac/dc distribution system. The simulation results demonstrate the effectiveness of the developed EMS model to optimally coordinate the various components of the future hybrid ac/dc smart grid.

AB - This paper presents stochastic energy management system (S-EMS) in hybrid ac/dc smart grids. The developed SEMS coordinates the operations of various distributed resources (DRs), i.e., distributed generators (DGs) and energy storage systems (ESSs). It also ensures coordinated charging of the plugin electric vehicles (PEVs). The energy management problem is formulated as a two-stage day-ahead resource scheduling problem with both the intermittent supply and the variable PEV demand modeled as random variables. The first-stage determines the unit commitment (UC) decisions for the next 24 hours, while the second-stage determines the corrective decisions, which include the import/export schedule, the storage charging/discharging cycles, and the PEV charging patterns for a set of possible scenarios. The objective is to minimize the expected total operating cost while satisfying the operational and technical constraints. The developed centralized two-stage stochastic EMS model is tested on a 38-bus hybrid ac/dc distribution system. The simulation results demonstrate the effectiveness of the developed EMS model to optimally coordinate the various components of the future hybrid ac/dc smart grid.

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Eajal AA, El-Saadany EF, Shaaban MF, Ponnambalam K. Stochastic energy coordination in hybrid AC/DC smart grids. In 2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 158-163. 7379943. (2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015). doi: 10.1109/EPEC.2015.7379943

Stochastic energy coordination in hybrid AC/DC smart grids

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UN SDGs

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