考虑变寿命特性的先进绝热压缩空气储能电站容量规划模型

doi:10.19595/j.cnki.1000-6753.tces.190026

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摘要先进绝热压缩空气储能（AA-CAES）系统具有容量大、成本低、无需燃料等突出优点,具有广阔的发展应用前景。AA-CAES电站的寿命随使用方式不同而变化,而AA-CAES电站的寿命是影响其优化规划结果的重要因素,因此,研究AA-CAES电站变寿命特性具有重要意义。该文考虑AA-CAES电站的变寿命特性,建立面向电力系统运行与大规模风电消纳的AA-CAES电站双层优化规划模型。该模型在规划层面,考虑了运行工况、备用期望发生次数对AA-CAES电站寿命的影响,并研究了其对日均投资成本的影响;在调度层面,综合考虑了AA-CAES电站的备用特性,以及在起停、功率调整和工况转换等复杂运行状态下的运行限制,研究了含AA-CAES电站的电网调度策略。最后,基于某地区的典型日数据进行仿真,验证了模型的有效性。

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关键词 ：先进绝热压缩空气储能, 复杂运行工况, 变寿命特性, 双层优化模型

Abstract：Advanced adiabatic compressed air energy storage (AA-CAES) has broad prospects with the advantages of large capacity, low cost, no demand of fuel. The lifetime of AA-CAES plant varies with the way it is used, and is an important factor affecting the planning optimization results, so it's significant to study the lifetime varying characteristics of AA-CAES plant. This paper established an optimization planning model of AA-CAES plant applied to power grid operation and wind power accommodation with lifetime varying characteristic considered. At the planning level of the model, how the operation conditions and expected frequency of reserve impact on the AA-CAES plant's lifetime was considered, and its impact on the average daily investment cost was studied. At the typical-day scheduling level, the reserve characteristics of AA-CAES plant was considered, as well as the operation constraints of AA-CAES plant in complex operation conditions, such as start-stop, power adjustment and working condition conversion, and the dispatching strategy for grid with AA-CAES plants was studied. Finally, the validity of the model was verified by numerical simulation based on typical daily data of a certain area.

Key words： Advanced adiabatic compressed air energy storage complex operation condition lifetime varying characteristic bi-level optimization model

收稿日期: 2019-01-08 出版日期: 2020-02-12

PACS:

TM715

基金资助:国家重点研发计划（2017YFB0903601）和国家自然科学基金（51777088）资助项目

通讯作者: 苗世洪男,1963年生,博士,教授,博士生导师,研究方向为压缩空气储能系统、电力系统保护与控制、微电网与配电网新技术。E-mail：shmiao@hust.edu.cn

作者简介: 尹斌鑫男,1995年生,博士研究生,研究方向为压缩空气储能系统、电力系统优化规划。E-mail：seeeybx@hust.edu.cn

引用本文:

尹斌鑫, 苗世洪, 李姚旺, 罗星, 王吉红. 考虑变寿命特性的先进绝热压缩空气储能电站容量规划模型[J]. 电工技术学报, 2020, 35(3): 612-622. Yin Binxin, Miao Shihong, Li Yaowang, Luo Xing, Wang Jihong. A Capacity Planning Model of Advanced Adiabatic Compressed Air Energy Storage Plant Considering Lifetime Varying Characteristic. Transactions of China Electrotechnical Society, 2020, 35(3): 612-622.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.190026 https://dgjsxb.ces-transaction.com/CN/Y2020/V35/I3/612

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