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多级压缩空气储能系统变工况的优化运行控制
引用本文:马昕,李珂,张承慧,孙芸馨.多级压缩空气储能系统变工况的优化运行控制[J].控制理论与应用,2019,36(3):436-442.
作者姓名:马昕  李珂  张承慧  孙芸馨
作者单位:山东大学,山东大学,山东大学,山东大学
基金项目:国家自然科学基金重大国际(地区)合作研究项目(61320106011);国家自然科学基金项目(61573223);国家自然科学基金重点项目(61733010)
摘    要:多级压缩空气储能系统以压缩空气储能及热存储技术为基础,具备冷、热、电多种能量存储及供给能力.针对多变复杂工况下系统热能合理分配问题,提出了一种多级压缩空气储能系统变工况优化运行控制策略.首先基于热力学方法分析,建立压缩空气储能系统模块化数学模型.其次根据系统负荷需求,在"以电定热"及"以热定电"两种工作模式下,分别以储热热量消耗量最小及输出电功最大为优化目标建立优化模型,求解得到不同工况下系统各部件运行参数,并以1 MW多级压缩空气储能系统为例,进行优化求解.该控制策略有效地解决了多级压缩空气储能系统在变工况下的内部能量调配、系统内部运行参数选取的问题,为实现系统高效运行提供有效途径.

关 键 词:压缩空气储能,最优控制,以电定热,以热定电,变工况运行
收稿时间:2018/6/21 0:00:00
修稿时间:2018/11/28 0:00:00

Off-design optimal control of multistage compressed air energy storage system
MA Xin,LI Ke,ZHANG Chen-hui and SUN Yun-xin.Off-design optimal control of multistage compressed air energy storage system[J].Control Theory & Applications,2019,36(3):436-442.
Authors:MA Xin  LI Ke  ZHANG Chen-hui and SUN Yun-xin
Affiliation:Shandong University,Shandong University,Shandong University,Shandong University
Abstract:The multistage adiabatic compressed air energy storage system (MCAES) which is based on compressed air energy storage (CAES) and thermal energy storage (TES) technology, has a variety of energy storage and supply capabilities such as cold, heat and electricity. Under highly variable conditions, the efficient operation of the system depends on the rational allocation of internal energy and the overall optimization of multi-energy deployment between systems and loads. Based on the capacity of TES, this paper presents an output operation control strategy for MCAES under different operating conditions. Firstly, the working process of compressed air energy storage system was analyzed by thermodynamics method, and a modular system model was established. According to the system load demand, the optimization model is established with the minimum heat storage heat consumption and the maximum output power respectively under following the electric load (FEL) and following the thermal load (FTL) operation condition, and different solutions are obtained. Finally, a case of MCAES validated the effectiveness of this optimal method. This control strategy effectively solves the problem of internal energy allocation and internal system operating parameter selection of MCAES under variable operating conditions, and provides guidance for the efficient operation of the integrated energy source system.
Keywords:Compress Air energy storage system  Optimal control  Following the electric load (FEL)  Following the thermal load (FTL)  Various operation conditions
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