引用本文:陈飞雄,张河,邵振国,颜熙颖,郑翔昊.基于时空双维嵌入的电-气动态能流解析算法[J].电力自动化设备,2026,46(2):22-29,38.
CHEN Feixiong,ZHANG He,SHAO Zhenguo,YAN Xiying,ZHENG Xianghao.Electricity-gas dynamic energy flow analysis algorithm based on spatio-temporal two-dimensional embedding[J].Electric Power Automation Equipment,2026,46(2):22-29,38.
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基于时空双维嵌入的电-气动态能流解析算法
陈飞雄1, 张河1, 邵振国1, 颜熙颖2, 郑翔昊3
1.福州大学 数字能源福建省高校重点实验室,福建 福州350108;2.国网福建省电力有限公司泉州供电公司,福建 泉州362000;3.国网福建省电力有限公司福州供电公司,福建 福州350108
摘要:
为实现动态多能流分析的全时空域解析,提出一种基于时空双维嵌入的电-气动态能流解析算法,获取时空连续的动态多能流分布。将时空微元视作嵌入因子,构造时空双维嵌入形式的动态多能流模型,进而递归求解动态能流关于时间与空间的显式表达式。在此基础上,提出一种动态多能流并行递归方法,通过能流状态量幂级数系数的并行递归求解,进一步提升电-气互联系统动态多能流计算的收敛性能与计算效率。仿真结果验证了所提算法能够获取连续时空的能流分布,以及其在精度、效率和收敛性等方面的优势。
关键词:  电-气互联系统  动态能流计算  时空双维嵌入  并行递归  全纯嵌入法  解析算法
DOI:10.16081/j.epae.202508015
分类号:
基金项目:国家自然科学基金资助项目(52107080)
Electricity-gas dynamic energy flow analysis algorithm based on spatio-temporal two-dimensional embedding
CHEN Feixiong1, ZHANG He1, SHAO Zhenguo1, YAN Xiying2, ZHENG Xianghao3
1.Fujian Provincial Key Laboratory of Digital Energy, Fuzhou University, Fuzhou 350108, China;2.Quanzhou Power Supply Company of State Grid Fujian Electric Power Co.,Ltd.,Quanzhou 362000, China;3.Fuzhou Power Supply Company of State Grid Fujian Power Co.,Ltd.,Fuzhou 350108, China
Abstract:
In order to realize the full spatio-temporal domain resolution of dynamic multi-energy flow analysis, an electricity-gas dynamic energy flow analysis algorithm based on spatio-temporal two-dimensional embedding is proposed to obtain a spatio-temporally continuous dynamic multi-energy flow distribution. Spatio-temporal microelements are regarded as embedding factors, a dynamic multi-energy flow model in the form of spatio-temporal bi-dimensional embedding is constructed, and the explicit expression of the dynamic energy flow with respect to time and space is recursively solved. On this basis, a dynamic multi-energy flow parallel recursive method is proposed to realize the dynamic multi-energy flow calculation of the electricity-gas interconnected system through the parallel recursive solution of the power series coefficients of the energy flow state quantities, which further improves the convergence performance and computational efficiency of the algorithm. The simulative results verify that the proposed algorithm is capable of obtaining the energy flow distribution in continuous time and space, and its advantages in terms of accuracy, efficiency and convergence.
Key words:  electricity-gas interconnection system  dynamic energy flow computation  spatio-temporal two-dimensional embedding  parallel recursion  holomorphic embedding method  analysis algorithm

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