Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System

Yufei Xi; Thomas Hamacher; Vedran Perić; Zhe Chen; Henrik Lund

doi:10.1109/ISC253183.2021.9562967

Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System

Yufei Xi, Thomas Hamacher, Vedran Perić , Zhe Chen, Henrik Lund

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

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Abstract

In this paper, a gas-electricity-heat integrated energy system with smart buildings is described. The special focus is ﬂexible energy demand including electricity and heat integrated into the smart buildings, where customers have multiple options to satisfy their energy demand. Considering energy prices in the market, the aggregator is introduced to manage these smart buildings in the most economical way. This paper proposes a bi-level programming approach for the integration of flexible demand in the combined smart energy system (CoSES). The integrated system operator (ISO) aims at maximizing social welfare according to the operation strategy of the aggregator, which minimizes the energy purchase cost of downstream demand. Then, the linearization method and Karush-Kuhn-Tucker (KKT) conditions are used to transform the bi-level optimization problem into an easily handled single-level problem. The proposed approach is illustrated in a modiﬁed test system.

Original language	English
Title of host publication	7th IEEE International Smart Cities Conference (ISC2 2021)
Publication date	2021
Pages	1-6
ISBN (Print)	978-1-6654-4920-5
ISBN (Electronic)	978-1-6654-4919-9
DOIs	https://doi.org/10.1109/ISC253183.2021.9562967
Publication status	Published - 2021
Event	2021 IEEE International Smart Cities Conference (ISC2) - Manchester, United Kingdom Duration: 7 Sept 2021 → 10 Sept 2021

Conference

Conference	2021 IEEE International Smart Cities Conference (ISC2)
Country/Territory	United Kingdom
City	Manchester
Period	07/09/2021 → 10/09/2021

Keywords

integrated energy system, smart building, flexibility, bi-level optimization, dispatch model, district heating

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10.1109/ISC253183.2021.9562967

Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy SystemAccepted author manuscript, 975 KB

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Cite this

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title = "Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System",

abstract = "In this paper, a gas-electricity-heat integrated energy system with smart buildings is described. The special focus is ﬂexible energy demand including electricity and heat integrated into the smart buildings, where customers have multiple options to satisfy their energy demand. Considering energy prices in the market, the aggregator is introduced to manage these smart buildings in the most economical way. This paper proposes a bi-level programming approach for the integration of flexible demand in the combined smart energy system (CoSES). The integrated system operator (ISO) aims at maximizing social welfare according to the operation strategy of the aggregator, which minimizes the energy purchase cost of downstream demand. Then, the linearization method and Karush-Kuhn-Tucker (KKT) conditions are used to transform the bi-level optimization problem into an easily handled single-level problem. The proposed approach is illustrated in a modiﬁed test system.",

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AU - Hamacher, Thomas

AU - Perić , Vedran

AU - Chen, Zhe

AU - Lund, Henrik

PY - 2021

Y1 - 2021

N2 - In this paper, a gas-electricity-heat integrated energy system with smart buildings is described. The special focus is ﬂexible energy demand including electricity and heat integrated into the smart buildings, where customers have multiple options to satisfy their energy demand. Considering energy prices in the market, the aggregator is introduced to manage these smart buildings in the most economical way. This paper proposes a bi-level programming approach for the integration of flexible demand in the combined smart energy system (CoSES). The integrated system operator (ISO) aims at maximizing social welfare according to the operation strategy of the aggregator, which minimizes the energy purchase cost of downstream demand. Then, the linearization method and Karush-Kuhn-Tucker (KKT) conditions are used to transform the bi-level optimization problem into an easily handled single-level problem. The proposed approach is illustrated in a modiﬁed test system.

AB - In this paper, a gas-electricity-heat integrated energy system with smart buildings is described. The special focus is ﬂexible energy demand including electricity and heat integrated into the smart buildings, where customers have multiple options to satisfy their energy demand. Considering energy prices in the market, the aggregator is introduced to manage these smart buildings in the most economical way. This paper proposes a bi-level programming approach for the integration of flexible demand in the combined smart energy system (CoSES). The integrated system operator (ISO) aims at maximizing social welfare according to the operation strategy of the aggregator, which minimizes the energy purchase cost of downstream demand. Then, the linearization method and Karush-Kuhn-Tucker (KKT) conditions are used to transform the bi-level optimization problem into an easily handled single-level problem. The proposed approach is illustrated in a modiﬁed test system.

KW - integrated energy system, smart building, flexibility, bi-level optimization, dispatch model, district heating

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DO - 10.1109/ISC253183.2021.9562967

M3 - Article in proceeding

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BT - 7th IEEE International Smart Cities Conference (ISC2 2021)

T2 - 2021 IEEE International Smart Cities Conference (ISC2)

Y2 - 7 September 2021 through 10 September 2021

ER -

Bi-Level Programming for Integrating Flexible Demand in Combined Smart Energy System

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Optimal Management of Flexible Resources in Multi-Energy Systems

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