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云端平台对ATP-EMTP的计算性能提升探究
引用本文:郭劲东,李云阁,王 敏,付周兴.云端平台对ATP-EMTP的计算性能提升探究[J].电力系统保护与控制,2021,49(19):72-77.
作者姓名:郭劲东  李云阁  王 敏  付周兴
作者单位:西安科技大学电气与控制工程学院,陕西 西安 710054;国网陕西省电力公司电力科学研究院,陕西 西安 710100;国网陕西省电力公司经济技术研究院,陕西 西安 710075
基金项目:国家自然科学基金项目资助(U1766208)
摘    要:目前针对电力系统云计算的相关研究主要集中于大型计算中心的构建与相关调度策略的设计,对于云端平台与电力仿真软件相结合方面并未开展相关应用研究。为了探究在计算大规模电网时云计算技术对电磁暂态仿真软件ATP-EMTP实时计算性能的提升效果,通过将云端平台同ATP-EMTP相结合,使用不同规模的仿真模型对比仿真软件在本地计算机与云端平台的计算效率。经过实际对比,云端平台对ATP-EMTP的计算效率有一定的提升作用,但由于软件自身的限制,云计算技术并不能从本质上提升ATP-EMTP的实时计算性能。由所得结论,针对如何通过云计算技术提升ATP-EMTP的实时计算性能,提出了相应的研究方向。

关 键 词:云计算技术  ATP-EMTP  云端平台  计算效率  实时计算
收稿时间:2020/12/28 0:00:00
修稿时间:2021/1/13 0:00:00

Research on computing performance improvement of ATP-EMTP by cloud platform
GUO Jindong,LI Yunge,WANG Min,FU Zhouxing.Research on computing performance improvement of ATP-EMTP by cloud platform[J].Power System Protection and Control,2021,49(19):72-77.
Authors:GUO Jindong  LI Yunge  WANG Min  FU Zhouxing
Abstract:The current research on power system cloud computing mainly focuses on the construction of large-scale computing centers and the design of related scheduling strategies, and there is no relevant application research on the combination of cloud platform and power simulation software. In order to explore the improvement effect of cloud computing technology on real-time computing performance of electromagnetic transient simulation software ATP-EMTP when calculating large-scale power grids, we combine cloud platform with ATP-EMTP and use simulation models of different scales to compare the computing efficiency of the simulation software in local computer and cloud platform. After actual comparison, cloud platform can improve the computing efficiency of ATP-EMTP to some extent, but because of the limitation of the software itself, cloud computing technology cannot essentially improve the real-time computing performance of ATP-EMTP. From conclusions obtained, the corresponding research direction is proposed on how to improve the real-time computing performance of ATP-EMTP through cloud computing technology. This work is supported by the National Natural Science Foundation of China (No. U1766208).
Keywords:cloud computing technology  ATP-EMTP  cloud platform  computing efficiency  real-time computing
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