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Hybrid continuous-discrete time control strategy to optimize thermal network dynamic storage and heat-electricity integrated energy system dynamic operation

文献类型：期刊论文

作者Yang, Weijia1,2,3; Huang, Yuping1,3,4; Ye, Tong1,4; Pan, Feng5; Zhao, Daiqing1,3
刊名ENERGY CONVERSION AND MANAGEMENT
出版日期2024-02-01
卷号301页码:19
关键词Continuous-discrete timescale Model predictive control Time factor Heat -electricity integrated energy system Thermal network
ISSN号0196-8904
DOI10.1016/j.enconman.2023.118035
通讯作者Huang, Yuping(huangyp@ms.giec.ac.cn)
英文摘要The heat-electricity integrated energy system (HE-IES) presents a promising opportunity for increasing renewable energy generation by fully utilizing the dynamic heat storage capabilities of the thermal network (TN). However, the dynamic characteristics of the TN and the response characteristics of devices in the HE-IES present challenges to system operation and control. To address these challenges, this study proposes a novel multi-layer control strategy that divides the system based on the component response status. The first layer aims to minimize the operating costs of the HE-IES, disregarding any dynamic effects. The second layer optimizes the dynamic operation of thermal subsystems by employing a TN's Taylor expansion model and continuous-time generalized predictive control. The third layer focuses on optimizing the power subsystem to enhance the share of renewable energy generation, using discrete-time model predictive control. To the best of our knowledge, this is the first study that utilizes continuous time models to control the dynamic operation of TNs and their thermal subsystems. Through case analysis, the proposed model achieves a 34.5% reduction in operating costs compared to a singlelayer control strategy and a 2.7% reduction compared to a discrete-time multi-layer control strategy. These findings highlight the favorable economic performance of the proposed model. Additionally, the utilization of continuous-time model allows for effective capturing dynamic performance of the TN and enhances its role in system operation.
资助项目National Key Research and Devel-opment Project[2022YFB3304503] ; National Key Research and Devel-opment Project[2022YFF0606600] ; Guang-dong Basic and Applied Basic Research Foundation[2023A1515012372] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA/29010500]
WOS研究方向Thermodynamics ; Energy & Fuels ; Mechanics
语种英语
WOS记录号WOS:001152185600001
出版者PERGAMON-ELSEVIER SCIENCE LTD
资助机构National Key Research and Devel-opment Project ; Guang-dong Basic and Applied Basic Research Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.giec.ac.cn/handle/344007/40792]  
专题中国科学院广州能源研究所
通讯作者Huang, Yuping
作者单位1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China
4.Univ Sci & Technol China, Sch Energy Sci & Engn, Hefei 230026, Peoples R China
5.Metrol Ctr Guangdong Power Grid Co Ltd, Qingyuan 511545, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Weijia,Huang, Yuping,Ye, Tong,et al. Hybrid continuous-discrete time control strategy to optimize thermal network dynamic storage and heat-electricity integrated energy system dynamic operation[J]. ENERGY CONVERSION AND MANAGEMENT,2024,301:19.
APA Yang, Weijia,Huang, Yuping,Ye, Tong,Pan, Feng,&Zhao, Daiqing.(2024).Hybrid continuous-discrete time control strategy to optimize thermal network dynamic storage and heat-electricity integrated energy system dynamic operation.ENERGY CONVERSION AND MANAGEMENT,301,19.
MLA Yang, Weijia,et al."Hybrid continuous-discrete time control strategy to optimize thermal network dynamic storage and heat-electricity integrated energy system dynamic operation".ENERGY CONVERSION AND MANAGEMENT 301(2024):19.

入库方式： OAI收割

来源：广州能源研究所

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