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Two-Layer Optimal Scheduling and Economic Analysis of Composite Energy Storage with Thermal Power Deep Regulation Considering Uncertainty of Source and Load

Author

Listed:
  • Chao Xing

    (Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China)

  • Jiajie Xiao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Xinze Xi

    (Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China)

  • Jingtao Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Peiqiang Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Shipeng Zhang

    (College of Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, China)

Abstract

A two-layer scheduling method of energy storage that considers the uncertainty of both source and load is proposed to coordinate thermal power with composite energy storage to participate in the peak regulation of power systems. Firstly, considering the characteristics of thermal power deep peak regulation, a cost model of thermal power deep peak regulation is constructed and fuzzy parameters are used to manage the uncertainty of wind, photovoltaics, and load. Secondly, based on the peaking characteristics and operating costs of composite energy storage, a two-layer optimal scheduling model of energy storage is constructed. The upper layer takes pumped storage as the optimization goal to improve net load fluctuation and the optimal peak load benefit; the lower layer takes the system’s total peak load cost as the optimization goal and obtains a day-before scheduling plan for the energy storage system, using an improved gray wolf algorithm to process it. Finally, we verify the effectiveness of the proposed strategy based on an IEEE 39-node system.

Suggested Citation

  • Chao Xing & Jiajie Xiao & Xinze Xi & Jingtao Li & Peiqiang Li & Shipeng Zhang, 2024. "Two-Layer Optimal Scheduling and Economic Analysis of Composite Energy Storage with Thermal Power Deep Regulation Considering Uncertainty of Source and Load," Energies, MDPI, vol. 17(19), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4909-:d:1489785
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    References listed on IDEAS

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    1. Chazarra, Manuel & Pérez-Díaz, Juan I. & García-González, Javier & Praus, Roland, 2018. "Economic viability of pumped-storage power plants participating in the secondary regulation service," Applied Energy, Elsevier, vol. 216(C), pages 224-233.
    2. Aneke, Mathew & Wang, Meihong, 2016. "Energy storage technologies and real life applications – A state of the art review," Applied Energy, Elsevier, vol. 179(C), pages 350-377.
    3. Jin, Lingkang & Kazemi, Milad & Comodi, Gabriele & Papadimitriou, Christina, 2024. "Assessing battery degradation as a key performance indicator for multi-objective optimization of multi-carrier energy systems," Applied Energy, Elsevier, vol. 361(C).
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