A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system

Q. Zeng; J. Fang; Z. Chen; J. Li; B. Zhang

doi:10.1109/ENERGYCON.2016.7514061

A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system

Q. Zeng, J. Fang, Z. Chen, J. Li, B. Zhang

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

18 Citationer (Scopus)

Abstract

Power-to-Gas (P2G) allows for the large scale energy storage which provides a big potential to accommodate the rapid growth of the renewables. In this paper, a long-term optimization model for the co-planning of the electricity and natural gas systems is presented. The P2G Plants are optimally sited and sized in the integrated energy system. The problem model is formulated as a multi-stage integer nonlinear optimization. The objective is to minimize the investment plus operation costs by determining the optimal location, capacity, and installation time of P2G. Case studies are simulated to illustrate the proposed approach.

Originalsprog	Engelsk
Titel	Proceedings of the 2016 IEEE International Energy Conference (ENERGYCON)
Antal sider	6
Forlag	IEEE Press
Publikationsdato	jul. 2016
Artikelnummer	7514061
ISBN (Elektronisk)	978-1-4673-8463-6
DOI	https://doi.org/10.1109/ENERGYCON.2016.7514061
Status	Udgivet - jul. 2016
Begivenhed	2016 IEEE International Energy Conference (ENERGYCON) - Leuven, Belgien Varighed: 4 apr. 2016 → 8 apr. 2016

Konference

Konference	2016 IEEE International Energy Conference (ENERGYCON)
Land/Område	Belgien
By	Leuven
Periode	04/04/2016 → 08/04/2016

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10.1109/ENERGYCON.2016.7514061

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Citationsformater

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title = "A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system",

abstract = "Power-to-Gas (P2G) allows for the large scale energy storage which provides a big potential to accommodate the rapid growth of the renewables. In this paper, a long-term optimization model for the co-planning of the electricity and natural gas systems is presented. The P2G Plants are optimally sited and sized in the integrated energy system. The problem model is formulated as a multi-stage integer nonlinear optimization. The objective is to minimize the investment plus operation costs by determining the optimal location, capacity, and installation time of P2G. Case studies are simulated to illustrate the proposed approach.",

keywords = "Electric power system, Integrated gas and electricity system, Natural gas network, Optimal planning, Power to gas",

author = "Q. Zeng and J. Fang and Z. Chen and J. Li and B. Zhang",

year = "2016",

month = jul,

doi = "10.1109/ENERGYCON.2016.7514061",

language = "English",

booktitle = "Proceedings of the 2016 IEEE International Energy Conference (ENERGYCON)",

publisher = "IEEE Press",

note = "2016 IEEE International Energy Conference (ENERGYCON) ; Conference date: 04-04-2016 Through 08-04-2016",

}

Zeng, Q, Fang, J, Chen, Z, Li, J & Zhang, B 2016, A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system. i Proceedings of the 2016 IEEE International Energy Conference (ENERGYCON)., 7514061, IEEE Press, 2016 IEEE International Energy Conference (ENERGYCON), Leuven, Belgien, 04/04/2016. https://doi.org/10.1109/ENERGYCON.2016.7514061

A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system. / Zeng, Q.; Fang, J.; Chen, Z. et al.
Proceedings of the 2016 IEEE International Energy Conference (ENERGYCON). IEEE Press, 2016. 7514061.

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

TY - GEN

T1 - A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system

AU - Zeng, Q.

AU - Fang, J.

AU - Chen, Z.

AU - Li, J.

AU - Zhang, B.

PY - 2016/7

Y1 - 2016/7

N2 - Power-to-Gas (P2G) allows for the large scale energy storage which provides a big potential to accommodate the rapid growth of the renewables. In this paper, a long-term optimization model for the co-planning of the electricity and natural gas systems is presented. The P2G Plants are optimally sited and sized in the integrated energy system. The problem model is formulated as a multi-stage integer nonlinear optimization. The objective is to minimize the investment plus operation costs by determining the optimal location, capacity, and installation time of P2G. Case studies are simulated to illustrate the proposed approach.

AB - Power-to-Gas (P2G) allows for the large scale energy storage which provides a big potential to accommodate the rapid growth of the renewables. In this paper, a long-term optimization model for the co-planning of the electricity and natural gas systems is presented. The P2G Plants are optimally sited and sized in the integrated energy system. The problem model is formulated as a multi-stage integer nonlinear optimization. The objective is to minimize the investment plus operation costs by determining the optimal location, capacity, and installation time of P2G. Case studies are simulated to illustrate the proposed approach.

KW - Electric power system

KW - Integrated gas and electricity system

KW - Natural gas network

KW - Optimal planning

KW - Power to gas

UR - http://www.scopus.com/inward/record.url?scp=84982839445&partnerID=8YFLogxK

U2 - 10.1109/ENERGYCON.2016.7514061

DO - 10.1109/ENERGYCON.2016.7514061

M3 - Article in proceeding

AN - SCOPUS:84982839445

BT - Proceedings of the 2016 IEEE International Energy Conference (ENERGYCON)

PB - IEEE Press

T2 - 2016 IEEE International Energy Conference (ENERGYCON)

Y2 - 4 April 2016 through 8 April 2016

ER -

A multistage coordinative optimization for sitting and sizing P2G plants in an integrated electricity and natural gas system

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