压缩空气储能系统(compressed air energy storage，CAES)因其高功率、大容量等优势，同时可提供转动惯量提升电力系统稳定性，被认为是最具有发展前景的大规模储能技术之一。然而，由于其内部强非线性运行特性，传统PID控制在透平功率调节过程中存在响应速度与稳定性无法兼顾的问题。为此，本文提出一种用于300MW高温绝热压缩空气储能系统透平功率调节的模糊PID控制策略。首先，搭建300MW高温绝热压缩空气储能系统整体模型，分析系统充放全过程动态特性，并构建透平功率控制模型以验证所提控制策略的有效性。仿真结果表明，所建模型能够准确反映系统在运行全过程的工作特性，所提出的模糊PID控制策略在透平功率控制中具有更快的响应速度，同时能够有效抑制盐穴压力扰动对输出功率的影响。

Compressed air energy storage (CAES)? systems are regarded as one of the most promising large-scale energy storage technologies due to their high power density, large capacity, and ability to enhance power system stability by providing rotational inertia. However, owing to their inherently strong non-linear operational characteristics, traditional PID control struggles to balance response speed and stability during turbine power regulation. To address this, this paper proposes a fuzzy PID control strategy for turbine power regulation in a 300MW high-temperature adiabatic compressed air energy storage system. Firstly, a comprehensive model of the 300MW high-temperature adiabatic compressed air energy storage system is established. The dynamic characteristics throughout the entire charging and discharging process are analyzed, and a turbine power control model is constructed to validate the effectiveness of the proposed control strategy. Simulation results demonstrate that the constructed model accurately reflects the operational characteristics throughout the system"s entire cycle. The proposed fuzzy PID control strategy exhibits faster response speeds in turbine power control while effectively suppressing the impact of salt cavern pressure disturbances on output power.

江苏省碳达峰碳中和科技创新专项资金(BT2024005)；国家自然科学(52206006)；国家重点研发计划(2022YFB4100700)