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Multi-mode optimal operation of advanced adiabatic compressed air energy storage: Explore its value with condenser operation

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  • Li, Guangkuo
  • Chen, Laijun
  • Xue, Xiaodai
  • Guo, Zhongjie
  • Wang, Guohua
  • Xie, Ningning
  • Mei, Shengwei

Abstract

The weather-dependent renewable energy sources(RESs) and voltage stability performance associated with reactive power balance pose immense challenges to power systems' operation. Salt cavern advanced adiabatic compressed air energy storage(S-CAES) is one of the most promising options to cope with the emerging issues. Though S-CAES has been extensively studied, limited attention focuses on the value of its reactive power ancillary service. This paper presents a novel S-CAES condenser operation mode that consumes little compressed air and less heat for synchronization and warm-keeping while releasing reactive power by the turbine-generator unit's excitation system for voltage regulation. The merits of condenser mode are highlighted, and the accurate thermodynamic model of S-CAES with multi-parameter coupled charging/discharging power functions is developed. Then, an optimal dispatch model linking the part-load characteristics and multiple service requirements is proposed and further formulated as a mixed-integer linear programming(MILP) problem. Numerical simulation results indicate that S-CAES operating in condenser mode contributes its application in ancillary services markets, and neglecting the part-load characteristics will lead to overly optimistic or even infeasible dispatch results. The breakeven point of the peak-valley ratio is 1.725, below which S-CAES will not participate in the energy market. Besides, sensitivity analysis provides a primary reference for S-CAES's heat supplement optimization and the design of condenser compensation mechanisms in the power system with a high proportion of RESs.

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  • Li, Guangkuo & Chen, Laijun & Xue, Xiaodai & Guo, Zhongjie & Wang, Guohua & Xie, Ningning & Mei, Shengwei, 2022. "Multi-mode optimal operation of advanced adiabatic compressed air energy storage: Explore its value with condenser operation," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222005035
    DOI: 10.1016/j.energy.2022.123600
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    3. Guo, Huan & Xu, Yujie & Huang, Lujing & Sun, Jianting & Chen, Haisheng, 2023. "Optimization strategy using corresponding-point methodology (CPM) concerning finite time and heat conduction rate for CAES systems," Energy, Elsevier, vol. 266(C).

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