储能科学与技术 ›› 2021, Vol. 10 ›› Issue (1): 379-384.doi: 10.19799/j.cnki.2095-4239.2020.0273

• 储能系统与工程 • 上一篇    下一篇

压缩空气储能系统分析及多目标优化

侯磊1(), 王子驰2, 李营超2, 王赛豪2(), 张亚杰1, 张禹森1   

  1. 1.国网雄安新区供电公司,河北 保定 071000
    2.平高集团有限公司,河南 平顶山 467000
  • 收稿日期:2020-08-18 修回日期:2020-09-24 出版日期:2021-01-05 发布日期:2021-01-08
  • 通讯作者: 王赛豪 E-mail:705608320@qq.com;15537532056@163.com
  • 作者简介:侯磊(1986—),男,工程师,从事营销技术、综合能源、能源互联网相关技术研究和管理工作,E-mail:705608320@qq.com
  • 基金资助:
    2019年度国家电网公司总部科技项目(5400-201913154A-0-0-00)

Analysis and multi-objective optimization of CAES system

Lei HOU1(), Zichi WANG2, Yingchao LI2, Saihao WANG2(), Yajie ZHANG1, Yusen ZHANG1   

  1. 1.State Grid Xiong'an New Area Electric Power Supply Company, Baoding 071000, Hebei, China
    2.Pinggao Group Co. Ltd, Pingdingshan 467000, Henan, China
  • Received:2020-08-18 Revised:2020-09-24 Online:2021-01-05 Published:2021-01-08
  • Contact: Saihao WANG E-mail:705608320@qq.com;15537532056@163.com

摘要:

为解决压缩空气储能系统热力学性能与经济学性能相互制约的问题,本文同时考虑热力学性能与经济学性能对系统进行优化。首先建立了系统的热力学模型和经济学模型,研究了关键节点参数对系统性能的影响规律,在此基础上以热力学评价指标能量效率和经济性评价指标单位能量成本为目标函数对系统进行多目标优化。研究结果表明:增大膨胀比、提高透平入口温度能够提高系统效率、降低发电成本;系统最佳运行工况条件下,能量效率可达55.12%,单位能量成本为396.60 $/kW。

关键词: 压缩空气储能, 热力学, 经济性, 多目标优化

Abstract:

To address the problem of mutually restricted thermodynamic and economic performance of CAES systems, both factors were considered in this paper to optimize the system. Thermodynamic and economic models of the system were established and the influence of key node parameters on the system were revealed. A multi-objective optimization analysis with a genetic algorithm was carried out. The studies indicated that the thermodynamics and economics of the system increase with an increase in the expansion ratio and inlet temperature of the turbine. The optimized results indicated that a solution with an exergy efficiency of 55.12% and a unit energy cost of 396.60 $/kW is attainable for the system.

Key words: compressed air energy storage, thermodynamic analysis, economic analysis, multi-objective optimization

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