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Optimal Scheduling of an Regional Integrated Energy System with Energy Storage Systems for Service Regulation

Author

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  • Hengrui Ma

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China
    Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA)

  • Bo Wang

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Wenzhong Gao

    (Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA)

  • Dichen Liu

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Yong Sun

    (State Grid Jilin Province Electric Power Supply Company, Changchun 130021, China)

  • Zhijun Liu

    (State Grid Jilin Province Electric Power Supply Company, Changchun 130021, China)

Abstract

Ancillary services are critical to maintaining the safe and stable operation of power systems that contain a high penetration level of renewable energy resources. As a high-quality regulation resource, the regional integrated energy system (RIES) with energy storage system (ESS) can effectively adjust the non-negligible frequency offset caused by the renewable energy integration into the power system, and help solve the problem of power system frequency stability. In this paper, the optimization model aiming at regional integrated energy system as a participant in the regulation market based on pay-for-performance is established. Meanwhile YALMIP + CPLEX is used to simulate and analyze the total operating cost under different dispatch modes. This paper uses the actual operation model of the PJM regulation market to guide the optimal allocation of regulation resource in the regional integrated energy system, and provides a balance between the power trading revenue and regulation market revenue in order to achieve the maximum profit.

Suggested Citation

  • Hengrui Ma & Bo Wang & Wenzhong Gao & Dichen Liu & Yong Sun & Zhijun Liu, 2018. "Optimal Scheduling of an Regional Integrated Energy System with Energy Storage Systems for Service Regulation," Energies, MDPI, vol. 11(1), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:195-:d:126889
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    References listed on IDEAS

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    1. Graves, Frank & Jenkin, Thomas & Murphy, Dean, 1999. "Opportunities for Electricity Storage in Deregulating Markets," The Electricity Journal, Elsevier, vol. 12(8), pages 46-56, October.
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    5. Lan, Puzhe & Han, Dong & Xu, Xiaoyuan & Yan, Zheng & Ren, Xijun & Xia, Shiwei, 2022. "Data-driven state estimation of integrated electric-gas energy system," Energy, Elsevier, vol. 252(C).
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    9. Yongli Wang & Haiyang Yu & Mingyue Yong & Yujing Huang & Fuli Zhang & Xiaohai Wang, 2018. "Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss," Energies, MDPI, vol. 11(7), pages 1-21, June.
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    14. Danny Ochoa & Sergio Martinez, 2018. "Proposals for Enhancing Frequency Control in Weak and Isolated Power Systems: Application to the Wind-Diesel Power System of San Cristobal Island-Ecuador," Energies, MDPI, vol. 11(4), pages 1-25, April.
    15. Dan Liu & Yiqun Kang & Heng Luo & Xiaotong Ji & Kan Cao & Hengrui Ma, 2023. "A Grid Status Analysis Method with Large-Scale Wind Power Access Using Big Data," Energies, MDPI, vol. 16(12), pages 1-12, June.
    16. Jianfeng Li & Dongxiao Niu & Ming Wu & Yongli Wang & Fang Li & Huanran Dong, 2018. "Research on Battery Energy Storage as Backup Power in the Operation Optimization of a Regional Integrated Energy System," Energies, MDPI, vol. 11(11), pages 1-20, November.
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