先进绝热压缩空气储能多能流优化调度模型

doi:10.19595/j.cnki.1000-6753.tces.220772

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摘要先进绝热压缩空气储能（AA-CAES）是一种可实现大容量和长时间电能存储的电力储能系统,其储能的过程中会伴随产生额外的多种能流,若将运行中产生的额外能流收集起来,AA-CAES可作为微型综合能源系统进行使用。该文通过基于能源集线器（EH）构建通用能量交换分析模型,针对AA-CAES内部组件压缩机、透平机、换热器等部件进行模块化矩阵建模,分析其热力学特性和能流产生效率,研究AA-CAES的多能流联供调度策略。以最大化经济性运行为目标,提出了一种基于能源集线器矩阵化建模的AA-CAES多能流优化调度模型,并采用典型的压缩空气储能系统设备数据,进行仿真验证。仿真结果表明,AA-CAES作为微型综合能源系统具有较好的经济性,并且可以实现日常的热电联供,减少或降低其他供热系统的能耗,提高区域的能量利用效率。

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关键词 ：微型综合能源系统, 先进绝热压缩空气储能（AA-CAES）, 能源集线器（EH）, 矩阵化, 多能流

Abstract：Advanced adiabatic compressed air energy storage(AA-CAES) is an electric energy storage system that can realize large capacity and long-time electric energy storage. In the process of energy storage, it will produce additional energy flows, which can be used as a micro integrated energy system. This paper constructs a general energy exchange analysis model based on the energy hub(EH), carries out modular matrix modeling for the internal components of AA-CAES, such as compressor, turbine and heat exchanger, and analyzes its thermodynamic characteristics and energy flow generation efficiency to study the multi energy flow supply scheduling strategy of AA-CAES. Finally, for the purpose of maximizing economical operation, an AA-CAES multi-energy flow optimization scheduling model based on energy hub matrix modeling is proposed, and the typical compressed air energy storage system equipment data is used for simulation verification. The simulation results show that AA-CAES as a micro integrated energy system has good economy, and can realize daily cogeneration, reduce the energy consumption of other heating systems, and improve the regional energy utilization efficiency.

Key words： Micro integrated energy system advanced adiabatic compressed air energy storage (AA-CAES) energy hub (EH) matrix multi energy flow

收稿日期: 2022-05-09

PACS:

TM732

基金资助:国网江苏省电力有限公司科技项目资助（J2022064）

通讯作者: 王建华男,1982年生,副研究员,研究生导师,研究方向为电力电子化电力系统、电气化交通、储能、分布式发电与微网。E-mail：wangjianhua@seu.edu.cn

作者简介: 徐卫君男,1981年生,高级工程师,研究方向为储能和电网调度。E-mail：110408504@qq.com

引用本文:

徐卫君, 张伟, 胡宇涛, 尹俊杰, 王建华. 先进绝热压缩空气储能多能流优化调度模型[J]. 电工技术学报, 2022, 37(23): 5944-5955. Xu Weijun, Zhang Wei, Hu Yutao, Yin Junjie, Wang Jianhua. Multi Energy Flow Optimal Scheduling Model of Advanced Adiabatic Compressed Air Energy Storage. Transactions of China Electrotechnical Society, 2022, 37(23): 5944-5955.

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