Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling

Yunyang Liang; Yi Chang Li; Mengmeng Yu; Zhong Jin; Zhiyang Jia

doi:10.1007/978-981-96-4963-1_26

Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling

Yunyang Liang
, Yi Chang Li^*
, Mengmeng Yu^*
, Zhong Jin
, Zhiyang Jia

^*Corresponding author for this work

China University of Petroleum-Beijing at Karamay
Ltd.

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

Abstract

This paper presents a Stackelberg game model based optimization framework for multi microgrids scheduling with the integration of CCUS (Carbon Capture, Utilization, and Storage), where the Microgrid Central Control Center (MGCC) acts as the leader, and the Distributed Energy System (DES) and Load Management System (LMS) are the followers. The MGCC sets the real-time electricity price, while the DES adjusts its generation plan and carbon capture quantity, and the LMS modifies its electricity consumption to minimize costs. To address the computational complexity and accelerate the convergence speed, we employ the quantum annealing (QA) algorithm to solve the resulting optimization problem. The QA algorithm facilitates the transition of the Hamiltonian from the initial Hamiltonian to the target Hamiltonian, leveraging quantum tunneling to escape local optima and find the global optimum. The results demonstrate that the proposed method can effectively enhance the efficiency and of microgrid scheduling in complex and dynamic environments.

Original language	English
Title of host publication	Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I
Editors	Guangqiang Yin, Xiaodong Liu, Jian Su, Yangzhao Yang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	275-286
Number of pages	12
ISBN (Print)	9789819649624
DOIs	https://doi.org/10.1007/978-981-96-4963-1_26
Publication status	Published - 2025
Externally published	Yes
Event	14th International Conference on Computer Engineering and Networks, CENet 2024 - Kashi, China Duration: 18 Oct 2024 → 21 Oct 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1384 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	14th International Conference on Computer Engineering and Networks, CENet 2024
Country/Territory	China
City	Kashi
Period	18/10/24 → 21/10/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

CCUS
Microgrid
Quantum Annealing
Stackelberg game

Access to Document

10.1007/978-981-96-4963-1_26

Cite this

Liang, Y., Li, Y. C., Yu, M., Jin, Z., & Jia, Z. (2025). Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling. In G. Yin, X. Liu, J. Su, & Y. Yang (Eds.), Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I (pp. 275-286). (Lecture Notes in Electrical Engineering; Vol. 1384 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-4963-1_26

Liang, Yunyang ; Li, Yi Chang ; Yu, Mengmeng et al. / Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling. Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I. editor / Guangqiang Yin ; Xiaodong Liu ; Jian Su ; Yangzhao Yang. Springer Science and Business Media Deutschland GmbH, 2025. pp. 275-286 (Lecture Notes in Electrical Engineering).

@inproceedings{5ac61e2a73f84a118c34e26154263d15,

title = "Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling",

abstract = "This paper presents a Stackelberg game model based optimization framework for multi microgrids scheduling with the integration of CCUS (Carbon Capture, Utilization, and Storage), where the Microgrid Central Control Center (MGCC) acts as the leader, and the Distributed Energy System (DES) and Load Management System (LMS) are the followers. The MGCC sets the real-time electricity price, while the DES adjusts its generation plan and carbon capture quantity, and the LMS modifies its electricity consumption to minimize costs. To address the computational complexity and accelerate the convergence speed, we employ the quantum annealing (QA) algorithm to solve the resulting optimization problem. The QA algorithm facilitates the transition of the Hamiltonian from the initial Hamiltonian to the target Hamiltonian, leveraging quantum tunneling to escape local optima and find the global optimum. The results demonstrate that the proposed method can effectively enhance the efficiency and of microgrid scheduling in complex and dynamic environments.",

keywords = "CCUS, Microgrid, Quantum Annealing, Stackelberg game",

author = "Yunyang Liang and Li, \{Yi Chang\} and Mengmeng Yu and Zhong Jin and Zhiyang Jia",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 14th International Conference on Computer Engineering and Networks, CENet 2024 ; Conference date: 18-10-2024 Through 21-10-2024",

year = "2025",

doi = "10.1007/978-981-96-4963-1\_26",

language = "English",

isbn = "9789819649624",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "275--286",

editor = "Guangqiang Yin and Xiaodong Liu and Jian Su and Yangzhao Yang",

booktitle = "Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I",

address = "Germany",

}

Liang, Y, Li, YC, Yu, M, Jin, Z & Jia, Z 2025, Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling. in G Yin, X Liu, J Su & Y Yang (eds), Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I. Lecture Notes in Electrical Engineering, vol. 1384 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 275-286, 14th International Conference on Computer Engineering and Networks, CENet 2024, Kashi, China, 18/10/24. https://doi.org/10.1007/978-981-96-4963-1_26

Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling. / Liang, Yunyang; Li, Yi Chang; Yu, Mengmeng et al.
Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I. ed. / Guangqiang Yin; Xiaodong Liu; Jian Su; Yangzhao Yang. Springer Science and Business Media Deutschland GmbH, 2025. p. 275-286 (Lecture Notes in Electrical Engineering; Vol. 1384 LNEE).

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

TY - GEN

T1 - Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling

AU - Liang, Yunyang

AU - Li, Yi Chang

AU - Yu, Mengmeng

AU - Jin, Zhong

AU - Jia, Zhiyang

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - This paper presents a Stackelberg game model based optimization framework for multi microgrids scheduling with the integration of CCUS (Carbon Capture, Utilization, and Storage), where the Microgrid Central Control Center (MGCC) acts as the leader, and the Distributed Energy System (DES) and Load Management System (LMS) are the followers. The MGCC sets the real-time electricity price, while the DES adjusts its generation plan and carbon capture quantity, and the LMS modifies its electricity consumption to minimize costs. To address the computational complexity and accelerate the convergence speed, we employ the quantum annealing (QA) algorithm to solve the resulting optimization problem. The QA algorithm facilitates the transition of the Hamiltonian from the initial Hamiltonian to the target Hamiltonian, leveraging quantum tunneling to escape local optima and find the global optimum. The results demonstrate that the proposed method can effectively enhance the efficiency and of microgrid scheduling in complex and dynamic environments.

AB - This paper presents a Stackelberg game model based optimization framework for multi microgrids scheduling with the integration of CCUS (Carbon Capture, Utilization, and Storage), where the Microgrid Central Control Center (MGCC) acts as the leader, and the Distributed Energy System (DES) and Load Management System (LMS) are the followers. The MGCC sets the real-time electricity price, while the DES adjusts its generation plan and carbon capture quantity, and the LMS modifies its electricity consumption to minimize costs. To address the computational complexity and accelerate the convergence speed, we employ the quantum annealing (QA) algorithm to solve the resulting optimization problem. The QA algorithm facilitates the transition of the Hamiltonian from the initial Hamiltonian to the target Hamiltonian, leveraging quantum tunneling to escape local optima and find the global optimum. The results demonstrate that the proposed method can effectively enhance the efficiency and of microgrid scheduling in complex and dynamic environments.

KW - CCUS

KW - Microgrid

KW - Quantum Annealing

KW - Stackelberg game

UR - https://www.scopus.com/pages/publications/105005571230

U2 - 10.1007/978-981-96-4963-1_26

DO - 10.1007/978-981-96-4963-1_26

M3 - Conference contribution

AN - SCOPUS:105005571230

SN - 9789819649624

T3 - Lecture Notes in Electrical Engineering

SP - 275

EP - 286

BT - Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I

A2 - Yin, Guangqiang

A2 - Liu, Xiaodong

A2 - Su, Jian

A2 - Yang, Yangzhao

PB - Springer Science and Business Media Deutschland GmbH

T2 - 14th International Conference on Computer Engineering and Networks, CENet 2024

Y2 - 18 October 2024 through 21 October 2024

ER -

Liang Y, Li YC, Yu M, Jin Z, Jia Z. Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling. In Yin G, Liu X, Su J, Yang Y, editors, Proceedings of the 14th International Conference on Computer Engineering and Networks - Volume I. Springer Science and Business Media Deutschland GmbH. 2025. p. 275-286. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-96-4963-1_26

Quantum Annealing and Stackelberg Game-Based Optimization for CCUS-Integrated Microgrid Scheduling

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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