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计及压缩空气储能爬坡能力的区域综合能源系统多时间尺度调度

李建华 崔森 张小龙 郭俊波 苏发万 王聚鹏

分布式能源2026,Vol.11Issue(2):94-103,10.
分布式能源2026,Vol.11Issue(2):94-103,10.DOI:10.16513/j.2096-2185.DE.25100364

计及压缩空气储能爬坡能力的区域综合能源系统多时间尺度调度

Multi-Timescale Scheduling of Regional Integrated Energy Systems Incorporating Compressed Air Energy Storage Ramp Capabilities

李建华 1崔森 2张小龙 1郭俊波 1苏发万 1王聚鹏1

作者信息

  • 1. 中国三峡新能源(集团)股份有限公司,北京市 通州区 101199
  • 2. 清华大学电机工程与应用电子技术系,北京市 海淀区 100084||新型电力系统运行与控制全国重点实验室(清华大学),北京市 海淀区 100084
  • 折叠

摘要

Abstract

To address the challenges of power fluctuations and ramping demands faced by regional integrated energy systems under high penetration of renewable energy,this paper focuses on the ramping support capability of advanced adiabatic compressed air energy storage(AA-CAES).A multi-timescale optimization dispatch model for regional integrated energy systems incorporating AA-CAES ramping capability is established.First,an operational model of AA-CAES is established to analyze its support capability for thermal power ramping.Second,a multi-timescale optimization dispatch strategy for regional integrated energy systems incorporating AA-CAES ramping capability is proposed.Long-timescale optimization minimizes operational costs while ensuring system power balance,and short-timescale dynamic power correction is achieved using model predictive control.Simulation results demonstrate that multi-timescale scheduling,incorporating AA-CAES ramping capability,effectively enhances the system's resilience to renewable energy fluctuations,reduces thermal power dispatch requirements,lowers operational costs,and improves the integration of renewable energy.This approach provides theoretical guidance for the economic and stable operation of regional integrated energy systems.

关键词

区域综合能源系统/先进绝热压缩空气储能(AA-CAES)/爬坡能力/多时间尺度/经济效益

Key words

regional integrated energy systems/advanced adiabatic compressed air energy storage(AA-CAES)/ramp capability/multi-timescale/economic benefits

分类

能源科技

引用本文复制引用

李建华,崔森,张小龙,郭俊波,苏发万,王聚鹏..计及压缩空气储能爬坡能力的区域综合能源系统多时间尺度调度[J].分布式能源,2026,11(2):94-103,10.

基金项目

中国三峡新能源(集团)股份有限公司科研项目(15044105) This work is supported by the Scientific Research Project of China Three Gorges New Energy(Group)Co.,Ltd.(No.15044105). (集团)

分布式能源

2096-2185

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