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高性能在线分析计算现状与协同计算关键技术
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作者单位:

1. 中国电力科学研究院有限公司, 北京市 100085; 2. Pacific Northwest National Laboratory, Seattle 99352, 美国

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基金项目:

国家电网公司科技项目(KY-SG-2016-031-JLDKY)


Current Status of High-performance On-line Analysis Computation and Key Technologies for Cooperating Computation
Author:
Affiliation:

1. China Electric Power Research Institute, Beijing 100085, China; 2. Pacific Northwest National Laboratory, Seattle 99352, USA

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    摘要:

    阐述了电力系统高性能计算模式的概念,沿着“离线计算在线协同化”的演进方向,以提高计算实时性、可靠性和计算服务化为目的,将并行计算、分布式计算、云计算等高性能计算模式作为主要分析内容,从分解协调方法、数值计算并行、硬计算架构和软计算模式等方面总结了状态估计、潮流计算、包含暂态稳定计算和静态安全分析功能的在线动态安全分析研究应用现状。阐述了实现在线分析一体化协同计算技术路线图的三个演进阶段,重点探讨了支撑以上业务分析应用在线计算协同化的关键技术,如分配映射机制、分解协调计算服务、模块服务接口化和数据交互规范等。最后在云计算模式下,设计了在线分析业务的协同计算场景和状态估计服务模式,对基于云计算的调度控制系统设计与开发进行了有益探索。

    Abstract:

    The concept of power system high-performance computing mode is illustrated. Following the evolution direction of off-line computation to on-line cooperation, the high-performance computing modes of parallel computation, distributed computation and cloud computation are mainly analyzed to improve the calculation speed and reliability, and provide the computing service. From the aspects of decomposition coordination methods, numerical parallel computing, hard-computing architecture and soft-computing mode, the overview of state estimation, power flow calculation, and online dynamic security analysis(DSA)including the transient stability computation and static safety analysis function are summarized. Three evolution phases to realize on-line computing cooperation roadmap are described, and the key technologies including assignment-mapping mechanism, decomposition-coordination computing service, module service interface and data interaction format are discussed in detail to support the on-line cooperation computation mentioned above. In the end, the on-line cooperation analysis computing scenario and state estimation service mode are designed in the cloud computing environment, which provides a reference for the cloud computing based design and development of dispatching control system.

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引用本文

郭健,周京阳,李强,等.高性能在线分析计算现状与协同计算关键技术[J].电力系统自动化,2018,42(3):149-159. DOI:10.7500/AEPS20170320007.
GUO Jian, ZHOU Jingyang, LI Qiang,et al.Current Status of High-performance On-line Analysis Computation and Key Technologies for Cooperating Computation[J].Automation of Electric Power Systems,2018,42(3):149-159. DOI:10.7500/AEPS20170320007.

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历史
  • 收稿日期:2017-03-20
  • 最后修改日期:2017-12-30
  • 录用日期:2017-10-31
  • 在线发布日期: 2017-12-28
  • 出版日期: