
1. 南京工程学院电力工程学院、沈国荣学院
2. 江苏省配电网智能技术与装备协同创新中心
3. 国网江苏省电力有限公司
Published:2026
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曾艾东, 周阳光, 郝思鹏, et al. 考虑热网动态特性和先进绝热压缩空气储能的综合能源系统优化调度[J]. 2026, 50(5): 1961-1974.
曾艾东, 周阳光, 郝思鹏, et al. 考虑热网动态特性和先进绝热压缩空气储能的综合能源系统优化调度[J]. 2026, 50(5): 1961-1974. DOI: 10.13335/j.1000-3673.pst.2025.0901.
在“双碳”战略与能源结构深度转型背景下,高比例波动性新能源接入对电热系统调度灵活性提出了更高要求。该文针对区域综合能源系统中风电消纳能力不足、传统热电联产系统响应滞后等问题,提出一种考虑供热管网动态特性与先进绝热压缩空气储能系统协同调度的优化模型。通过Crank-Nicolson二阶中心差分方法对一次管网温度进行离散建模,引入等效平均温度指标用于量化热网储热能力,并构建包含太阳能供热模块的先进绝热压缩空气储能系统,结合电热双向耦合机制实现跨时段能量调节。在此基础上,构建多场景优化调度模型,算例结果表明,所提方法显著提升了系统对风电的灵活消纳能力,风电消纳率提升至99.14%,系统总运行成本降低了11.91%。热网动态调节特性与先进绝热压缩空气储能的协同作用可为高比例可再生能源渗透背景下的区域能源系统提供新的调控手段与低碳运行路径。
王娜.集中供热管网动态水力、热力工况特性计算与分析[D].天津大学,2019(01).
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China,School of Engineering, University of Warwick, Coventry, UK,School of Engineering, University of Warwick, Coventry, UK,State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Hubei Electric Power Security and High Efficiency Key Laboratory, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China,School of Engineering, University of Warwick, Coventry, UK.A reserve capacity model of AA-CAES for power system optimal joint energy and reserve scheduling[J].International Journal of Electrical Power and Energy Systems,2019.
王婉璐,杨莉,王蕾,张平,黄晶晶,王康元.考虑供热网储热特性的电-热综合能源系统优化调度[J].电力系统自动化,2018(21).
白珈于,薛小代,陈来军,梅生伟.先进绝热压缩空气储能热电联供模式下的运行可行域分析[J].电力自动化设备,2019(08).
齐晓光,姚福星,朱天曈,张倩茅,张菁,王颖,苗世洪.考虑大规模风电接入的电力系统混合储能容量优化配置[J].电力自动化设备,2021(10).
张沈习,王丹阳,程浩忠,宋毅,原凯,杜炜.双碳目标下低碳综合能源系统规划关键技术及挑战[J].电力系统自动化,2022(08).
栗海润,穆云飞,贾宏杰,余晓丹,张嘉睿,唐志鹏.考虑量化储热的多区域电–热综合能源系统优化调度[J].中国电机工程学报,2021(S1).
曾艾东,邹宇航,郝思鹏,宁佳,倪良华.考虑阶梯式碳交易机制的园区工业用户综合需求响应策略[J].高电压技术,2022(11).
曾艾东,王佳伟,邹宇航,万亚恒,郝思鹏,袁宇波.考虑供热管网储热的综合能源系统多时间尺度优化调度[J].高电压技术,2023(10).
杨秀,汤金璋,刘方,蒋家富,刘欣雨.流量自适应方式下考虑热管道虚拟储能的电热能源系统优化调度[J].中国电机工程学报,2023(21).
杨莹,曹美萱,赵为光,孙建宇,刘振羽,耿光辉,钟懿文,吕品.煤层气和压缩空气储能复合的矿区综合能源系统优化运行模型[J].中国电机工程学报,2024(06).
尚文强,李广磊,丁月明,杜善慧,谭亲跃,庞博文,康定毅.考虑源荷不确定性和新能源消纳的综合能源系统协同调度方法[J].电网技术,2024(02).
邢晓敏,张明洋,杨修宇,彭建,胡健民,袁少伟.计及网荷侧热惯性特征下用户动态响应的电热联合系统优化运行[J].电网技术,2024(03).
陈飞雄,蔡明杰,郭奕鑫,邵振国.计及网络动态特性的电-热互联系统仿射优化法[J].中国电机工程学报,2024(12).
梁炜焜,林舜江,刘明波,盛煊,潘越.基于供冷/热系统质-量调节的区域综合能源系统动态最优能流计算[J].电网技术,2024(03).
崔杨,于一凡,付小标,仲悟之,赵钰婷.考虑多热源协同互补的含先进绝热压缩空气储能系统容量配置方法[J].电网技术,2024(10).
张苏涵,陆帅,顾伟,庄文楠,俞睿智.综合能源系统分析——从数值到解析(二):热网解析法[J].中国电机工程学报,2024(19).
黄大为,史博铭,于娜,郭念康,孔令国.热电联产机组利用热网动态特性提升实时灵活性的自调度策略[J].中国电机工程学报,2024(20).
尹振斌,张忠,雷雨晴,刘玥.考虑热网惯性的热电联产机组短时功率灵活性评估方法[J].电网技术,2025(05).
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