Temporal asynchrony analysis for dynamic operation of hydraulic-thermal-electricity multiple energy networks based on holomorphic embedding method
文献类型：期刊论文
| 作者 | Yang, Weijia1,2,3; Huang, Yuping1,2,3,4; Liao, Suliang1,2,3,4; Zhao, Daiqing1,2,3; Yao, Duan5 |
| 刊名 | SUSTAINABLE ENERGY GRIDS & NETWORKS
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 40页码:22 |
| 关键词 | Multiple energy system Holomorphic embedding method Multiple energy networks Dynamic calculation Temporal asynchrony |
| ISSN号 | 2352-4677 |
| DOI | 10.1016/j.segan.2024.101559 |
| 通讯作者 | Huang, Yuping(huangyp@ms.giec.ac.cn) |
| 英文摘要 | Analyzing the operational states of multiple energy networks (MEN) in multi-energy systems is crucial for ensuring system stability. The dynamic operational characteristics of different energy flows pose challenges for computational analysis. Traditional steady-state methods are inadequate for addressing the dynamics of MEN, especially when dealing with temporal discrepancies between hydraulic and thermal flows in thermal networks (TN) and the heterogeneity between TN and electrical networks. Therefore, this paper proposes a novel holomorphic embedding method (HEM) based on multi-stage decomposition method. The developed HEM constructs a time coefficient matrix and utilize inner-outer loop recursion to handle the time lag between thermal flow and hydraulic flow in the TN. Additionally, we reconstruct a holomorphic matrix, integrating hydraulic flow to bridge thermal and electric power flows, thereby improving the operational heterogeneity among different networks. Real-case simulations show that when the Taylor expansion order in HEM is equal to 4, the proposed method achieves a mere 1 % discrepancy from actual operational data, enhancing computational efficiency by 60 % compared to the Newton-Raphson method. Moreover, in this real-case scenario, the TN exhibits a maximum delay response time of 180 seconds compared to electrical networks. Exploiting this delay time effectively increases renewable energy generation within multi-energy systems by 961.58 kW per day. |
| WOS关键词 | STAHLS THEOREMS ; HEATING-SYSTEMS ; DISTRICT ; FLOW |
| 资助项目 | National Key Research and Devel-opment Project[2022YFB3304500] ; Guangdong Basic and Applied Basic Research Foundation[2023A1515012372] ; Science and Technology Project of China Southern Power Grid[030000KC23040051] ; Science and Technology Project of China Southern Power Grid[GDKJXM20230334] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001358325000001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key Research and Devel-opment Project ; Guangdong Basic and Applied Basic Research Foundation ; Science and Technology Project of China Southern Power Grid |
| 源URL | [http://ir.giec.ac.cn/handle/344007/43556]  |
| 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.Guangdong Prov Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 3.CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 4.Univ Sci & Technol China, Sch Energy Sci & Engn, Hefei 230026, Peoples R China 5.Guangdong Power Grid Co Ltd, Grid Planning & Res Ctr, CSG, Guangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Weijia,Huang, Yuping,Liao, Suliang,et al. Temporal asynchrony analysis for dynamic operation of hydraulic-thermal-electricity multiple energy networks based on holomorphic embedding method[J]. SUSTAINABLE ENERGY GRIDS & NETWORKS,2024,40:22. |
| APA | Yang, Weijia,Huang, Yuping,Liao, Suliang,Zhao, Daiqing,&Yao, Duan.(2024).Temporal asynchrony analysis for dynamic operation of hydraulic-thermal-electricity multiple energy networks based on holomorphic embedding method.SUSTAINABLE ENERGY GRIDS & NETWORKS,40,22. |
| MLA | Yang, Weijia,et al."Temporal asynchrony analysis for dynamic operation of hydraulic-thermal-electricity multiple energy networks based on holomorphic embedding method".SUSTAINABLE ENERGY GRIDS & NETWORKS 40(2024):22. |
入库方式： OAI收割
来源：广州能源研究所
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