基于云计算的配网不停电作业仿真培训平台设计
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摘要
针对传统配网不停电作业培训方法存在组织时间长、成本高、规范性差、易受现场条件限制等问题,利用云计算领域的服务器虚拟化、并行编程、分布存储等技术,设计一套分层、易扩展的云平台仿真培训系统架构,建立基于云计算的配网不停电作业仿真培训平台,可实现仿真培训资源的动态调配和教学资源的共享管理。实践表明,该系统通过模拟配网现场作业环境和操作流程,能直观形象地展现配网不停电作业的操作技巧与易错难点,为配网运维检修技能训练提供了一种新型有效的培训手段。
As there are some problems for the traditional uninterrupted operation training methods on distribution networks, such as long organization time, high cost, poor standardization, and limited by field conditions, a new system, which has a set of layers and easily expanded training system architecture, is designed by utilizing the server virtualization, parallel programming, distributed storage and other technologies in the cloud computing field. The simulation training system based on cloud computing can realize the dynamic allocation of simulation training resources and share management of teaching resources. It is demonstrated that the on-site working environment and operation process of the distribution network are accurately simulated. Therefore, the trainees can intuitively understand the operation skills and error-prone points of uninterrupted operation via the online training, and also learn new and effective training methods for the operation and maintenance works.
As there are some problems for the traditional uninterrupted operation training methods on distribution networks, such as long organization time, high cost, poor standardization, and limited by field conditions, a new system, which has a set of layers and easily expanded training system architecture, is designed by utilizing the server virtualization, parallel programming, distributed storage and other technologies in the cloud computing field. The simulation training system based on cloud computing can realize the dynamic allocation of simulation training resources and share management of teaching resources. It is demonstrated that the on-site working environment and operation process of the distribution network are accurately simulated. Therefore, the trainees can intuitively understand the operation skills and error-prone points of uninterrupted operation via the online training, and also learn new and effective training methods for the operation and maintenance works.
引文
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[9]江务学,张璟,王志明.MapReduce并行编程架构模型研究[J].微电子学与计算机,2011,28(6):168-170.JIANG Wu-xue,ZHANG Jing,WANG Zhi-ming.Study on parallel programming framework model based on MapReduce[J].Microelectronics and Computers,2011,28(6):168-170.
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[11]孙建华,曾自清,周冰,等.广域电力系统整体建模的并行计算技术[J].电力科学与技术学报,2012,27(1):4-9.SUN Jian-hua,ZENG Zi-qing,ZHOU Bing,et al.Parallel computing technology for wide area power system modeling[J].Journal of Electric Power Science and Technology,2012,27 (1):4-9.