A two-stage stochastic programming approach for operating multi-energy systems

Qing Zeng; Jiakun Fang; Zhe Chen; Antonio J. Conejo

doi:10.1109/EI2.2017.8245587

A two-stage stochastic programming approach for operating multi-energy systems

Qing Zeng, Jiakun Fang, Zhe Chen, Antonio J. Conejo

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

10 Citationer (Scopus)

Abstract

This paper provides a two-stage stochastic programming approach for joint operating multi-energy systems under uncertainty. Simulation is carried out in a test system to demonstrate the feasibility and efficiency of the proposed approach. The test energy system includes a gas subsystem with a gas source and a gas storage facility, and electricity subsystem that includes a coal-fired power plant, a combined heat and power unit and a power-to-gas facility, and a conventional district heating subsystem.

Originalsprog	Engelsk
Titel	Proceedings of 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)
Antal sider	6
Forlag	IEEE Press
Publikationsdato	nov. 2017
ISBN (Elektronisk)	978-1-5386-1427-3
DOI	https://doi.org/10.1109/EI2.2017.8245587
Status	Udgivet - nov. 2017
Begivenhed	2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) - Beijing, Kina Varighed: 26 nov. 2017 → 28 nov. 2017

Konference

Konference	2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)
Land/Område	Kina
By	Beijing
Periode	26/11/2017 → 28/11/2017

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Citationsformater

@inproceedings{fce18ced69734e2fbab466de5e1fb3be,

title = "A two-stage stochastic programming approach for operating multi-energy systems",

abstract = "This paper provides a two-stage stochastic programming approach for joint operating multi-energy systems under uncertainty. Simulation is carried out in a test system to demonstrate the feasibility and efficiency of the proposed approach. The test energy system includes a gas subsystem with a gas source and a gas storage facility, and electricity subsystem that includes a coal-fired power plant, a combined heat and power unit and a power-to-gas facility, and a conventional district heating subsystem.",

keywords = "Multi-energy systems, Power system, Natural gas system, District heating system, Stochastic programming",

author = "Qing Zeng and Jiakun Fang and Zhe Chen and Conejo, {Antonio J.}",

year = "2017",

month = nov,

doi = "10.1109/EI2.2017.8245587",

language = "English",

booktitle = "Proceedings of 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)",

publisher = "IEEE Press",

note = "2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) ; Conference date: 26-11-2017 Through 28-11-2017",

}

Zeng, Q, Fang, J, Chen, Z & Conejo, AJ 2017, A two-stage stochastic programming approach for operating multi-energy systems. i Proceedings of 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE Press, 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, Kina, 26/11/2017. https://doi.org/10.1109/EI2.2017.8245587

TY - GEN

T1 - A two-stage stochastic programming approach for operating multi-energy systems

AU - Zeng, Qing

AU - Fang, Jiakun

AU - Chen, Zhe

AU - Conejo, Antonio J.

PY - 2017/11

Y1 - 2017/11

N2 - This paper provides a two-stage stochastic programming approach for joint operating multi-energy systems under uncertainty. Simulation is carried out in a test system to demonstrate the feasibility and efficiency of the proposed approach. The test energy system includes a gas subsystem with a gas source and a gas storage facility, and electricity subsystem that includes a coal-fired power plant, a combined heat and power unit and a power-to-gas facility, and a conventional district heating subsystem.

AB - This paper provides a two-stage stochastic programming approach for joint operating multi-energy systems under uncertainty. Simulation is carried out in a test system to demonstrate the feasibility and efficiency of the proposed approach. The test energy system includes a gas subsystem with a gas source and a gas storage facility, and electricity subsystem that includes a coal-fired power plant, a combined heat and power unit and a power-to-gas facility, and a conventional district heating subsystem.

KW - Multi-energy systems

KW - Power system

KW - Natural gas system

KW - District heating system

KW - Stochastic programming

U2 - 10.1109/EI2.2017.8245587

DO - 10.1109/EI2.2017.8245587

M3 - Article in proceeding

BT - Proceedings of 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)

PB - IEEE Press

T2 - 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)

Y2 - 26 November 2017 through 28 November 2017

ER -

A two-stage stochastic programming approach for operating multi-energy systems

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