Research on Variable Operating Condition Simulation and Operation Optimization of Compressed Air Energy Storage System

LIU Chuanliang; ZHANG Tianbo; HAO Ning; CHEN Dong; LIU Jia

doi:10.19805/j.cnki.jcspe.2026.250053

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Research on Variable Operating Condition Simulation and Operation Optimization of Compressed Air Energy Storage System

更新时间：2026-10-10

- Research on Variable Operating Condition Simulation and Operation Optimization of Compressed Air Energy Storage System
- Chinese Journal of Power Engineering Vol. 46, Issue 5, Pages: 13-22(2026)
- 作者机构：
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- DOI：10.19805/j.cnki.jcspe.2026.250053
  CLC： TK37
- Published：2026
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刘传亮, 张天博, 郝宁, 陈东, 刘佳. 压缩空气储能系统变工况仿真及运行优化研究[J]. 动力工程学报, 2026, 46(5): 13-22.
刘传亮, 张天博, 郝宁, 陈东, 刘佳. 压缩空气储能系统变工况仿真及运行优化研究[J]. 动力工程学报, 2026, 46(5): 13-22. DOI： 10.19805/j.cnki.jcspe.2026.250053.

DOI： 10.19805/j.cnki.jcspe.2026.250053

摘要

压缩空气储能是解决可再生能源波动性问题的长时储能技术。研究其变工况特性及运行方式优化对压缩空气储能的科学调控具有重要意义。以10 MW压缩空气储能系统为研究对象

采用模块化的建模方法

基于Modelica语言建立了压缩空气储能系统储能过程和释能过程仿真模型

并采用粒子群算法对不同工况下系统的运行方式进行优化。结果表明:所建立的压缩空气储能系统模型可以准确模拟储能、释能运行过程

且将其应用于不同工况下的运行策略优化时具有良好的效果

变工况优化可显著降低储能功耗和释能气耗

提升系统循环效率

研究成果可支撑压缩空气储能系统变工况运行特性分析及运行策略优化。

Abstract

Compressed air energy storage is a long-duration energy storage technology that solves the volatility problem of renewable energy. It is of great significance to study the characteristics of variable operating conditions and the optimization of operation modes for the scientific regulation and control of compressed air energy storage. A 10 MW compressed air energy storage system was taken as the research object

a modular modeling method was used to establish simulation models of the energy storage process and energy release process of the compressed air energy storage system based on Modelica language

and the operation modes of the system under different working conditions were optimized based on the particle swarm optimization algorithm. Results show that the established compressed air energy storage system model can accurately simulate the operation processes of energy storage and energy release

and have good results when applied to the optimization of operation strategies under different working conditions of the system. The optimization of variable operating conditions can significantly reduce the power consumption of energy storage and air consumption of energy release

and improve the round-trip efficiency of the system. The study results can support the analysis of the characteristics of variable operating conditions and the optimization of operation strategies of compressed air energy storage system.

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references

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