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Compared to battery energy storage, AA-CAES offers advantages like long lifespan, low maintenance costs, and high safety and reliability, making it a promising large-scale energy storage technology. However, AA-CAES has slower response speeds than battery storage, making it less effective at mitigating the fluctuations of wind and solar power. Therefore, integrating AA-CAES with battery storage in a hybrid system is ideal for energy storage in wind and solar bases. Capacity planning for such hybrid systems is crucial. Current capacity planning strategies for AA-CAES are designed for grid-connected scenarios with longer operation cycles and often overlook its dynamic characteristics, making them unsuitable for hybrid configurations. This paper proposes a hybrid energy storage capacity optimization strategy that considers the dynamic characteristics of AA-CAES. The optimization model aims to minimize costs while incorporating operational constraints of the equipment. Using historical wind and solar power data, we compare the proposed strategy with traditional battery storage configurations. The results show that the proposed hybrid optimization strategy offers significant cost advantages.

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Dynamic Characteristics-Based Capacity Optimization Strategy for Hybrid AA-CAES and Battery Storage Systems in Large-Scale Integrated Wind and Solar Power Generation Bases

  • 会议论文

  • 发表日期：

    2025年

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  • Jiahua Ni,
  • Yuwei Chen,
  • Lingang Yang,
  • Shengwei Mei

摘要

Compared to battery energy storage, AA-CAES offers advantages like long lifespan, low maintenance costs, and high safety and reliability, making it a promising large-scale energy storage technology. However, AA-CAES has slower response speeds than battery storage, making it less effective at mitigating the fluctuations of wind and solar power. Therefore, integrating AA-CAES with battery storage in a hybrid system is ideal for energy storage in wind and solar bases. Capacity planning for such hybrid systems is crucial. Current capacity planning strategies for AA-CAES are designed for grid-connected scenarios with longer operation cycles and often overlook its dynamic characteristics, making them unsuitable for hybrid configurations. This paper proposes a hybrid energy storage capacity optimization strategy that considers the dynamic characteristics of AA-CAES. The optimization model aims to minimize costs while incorporating operational constraints of the equipment. Using historical wind and solar power data, we compare the proposed strategy with traditional battery storage configurations. The results show that the proposed hybrid optimization strategy offers significant cost advantages.