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A review on applications of holomorphic embedding methods 认领 引用
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作者 Kaiyang Huang Kai Sun 《iEnergy》 2023年第4期264-274,共11页
The holomorphic embedding method(HEM)stands as a mathematical technique renowned for its favorable convergence properties when resolving algebraic systems involving complex variables.The key idea behind the HEM is to ... The holomorphic embedding method(HEM)stands as a mathematical technique renowned for its favorable convergence properties when resolving algebraic systems involving complex variables.The key idea behind the HEM is to convert the task of solving complex algebraic equations into a series expansion involving one or multiple embedded complex variables.This transformation empowers the utilization of complex analysis tools to tackle the original problem effectively.Since the 2010s,the HEM has been applied to steady-state and dynamic problems in power systems and has shown superior convergence and robustness compared to traditional numerical methods.This paper provides a comprehensive review on the diverse applications of the HEM and its variants reported by the literature in the past decade.The paper discusses both the strengths and limitations of these HEMs and provides guidelines for practical applications.It also outlines the challenges and potential directions for future research in this field. 展开更多
关键词 Holomorphic embedding method power flow polynomial solutions nonlinear algebraic equations differential equations
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综合能源系统概率能量流的多胚解-多维全纯嵌入计算方法 认领 引用 被引量:2
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作者 李雪 李栋 +1 位作者 姜涛 李国庆 《中国电机工程学报》 EI CSCD 北大核心 2026年第7期2882-2899,I0020,共18页
多维全纯嵌入法(multi-dimensional holomorphic embedding method,MDHEM)是求解综合能源系统(integrated energy system,IES)能量流的新方法,该方法无需初值、无雅可比矩阵奇异,但在概率能量流计算时存在幂级数阶数高、计算量较大的难... 多维全纯嵌入法(multi-dimensional holomorphic embedding method,MDHEM)是求解综合能源系统(integrated energy system,IES)能量流的新方法,该方法无需初值、无雅可比矩阵奇异,但在概率能量流计算时存在幂级数阶数高、计算量较大的难题。为此,该文根据全纯嵌入理论的半解析解特性,提出一种IES概率能量流的多胚解-多维全纯嵌入计算方法(multi-germ solution and multidimensional holomorphic embedding method,MG-MDHEM)。该方法首先构建IES能量流的MDHEM模型;然后,将IES中多维随机输入变量的波动范围划分为多个子区间,在各子区间内设置物理胚解,递推各子区间内待求变量的低阶半解析解表达式;进一步,将蒙特卡洛模拟法抽样的样本预处理后代入所属子区间待求变量的低阶半解析解中,借助多元商差并行求解各样本的能量流结果,通过对能量流计算结果的统计分析获得IES能量流的概率分布特征;最后,通过E14-G6和E118-G20测试系统算例验证所提方法的准确性和有效性。 展开更多
关键词 综合能源系统 多胚解-多维全纯嵌入法 概率能量流 多元商差法并行计算 不确定性
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