基于云存储的智能电网监测平台的设计与实现

发布时间：2018-02-22 00:13

  本文关键词： 智能电网 云存储 数据监测 数据查询　出处：《电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：为了更好低满足智能电网的发展要求,将来的智能电网在计算能力和信息的采集、分析、整合等需求非常大,这就需要强有力的调度中心。而目前现行的电网系统成为智能电网发展过程和发展经理的一个主要阻碍。本项目的研究意义在于可以解决目前现存电力系统运行监测。电力系统的安全评估、系统运行、系统控制也随着该系统规模的扩大也变得越来越难控制,但电力系统的规模和结构发展也越来越复杂。而随着电力系统的发展,电力系统也向着智能化方向发展,出现了智能电网。而智能电网具有几个重大特征:一、系统具有较好的自愈性,可以抵御外界攻击;二、可以支持分布式电力网络和再生性能源不断接入电力系统;三、电力系统的可靠性也越来越强;四、可以促进智能电网公平和有效地运行;五、促进电网用户的不断参与,保证智能电网的不断发展等。本文利用Hadoop技术实现了智能电网监测的系统原型。随着计算机水平的日益提高、网络技术不断完善,利用计算机软硬件技术来完成电力系统的监测控制成为不可或缺的技术手段。云计算技术就是随着计算机及网络技术的发展不断更新和发展的,该技术主要是利用Internet将将各种广域异构计算资源整合,整合后可以形成一个非常强大的计算资源池,该资源池具有抽象性、虚拟性和可扩展性的特点。本文就是在此背景下,利用google提出的Hadoop集群管理技术和基于该技术的数据结构设计、程序流程组织和编程技术实现智能电网基本信息的监测,实现智能电网海量数据管理。本文利用云计算技术方法对智能电网监测进行了全面的业务需求分析,并根据业务需求分析进行了系统设计,最后对设计进行了原型实现。通过原型技术实现对监测结果的可靠性和稳定性进行了验证。验证的结果表明,通过该系统实现智能电网的基本信息监测是可靠地,也是有必要的,在一定程度上可以解决智能电网发展趋势遇到的问题。同时,本课题的研究也为智能电网的发展提供了有效方向,也为智能电网的监测发展提供了新思路和新方法,为智能化电网自动化顺利开展奠定了有效的基础。实验结果表明使用Hadoop技术实现智能电网监测可以在大数据模式下得到很好的应用。
[Abstract]:In order to better meet the requirements of the development of smart grid, the demand of the future smart grid in computing ability and information collection, analysis, integration and so on is very large. This requires a powerful dispatching center, and the current grid system is a major obstacle to the smart grid development process and development manager. The research significance of this project is to solve the existing power system operation. Monitoring. Security assessment of power systems, System operation, system control also becomes more and more difficult to control with the expansion of the scale of the system, but the scale and structure of the power system are also more and more complex, and with the development of the power system, the power system is also developing towards the direction of intelligence. A smart grid has emerged. The smart grid has several major features: first, the system has a better self-healing ability to withstand external attacks; second, it can support distributed power networks and renewable energy to continuously access power systems; third, The reliability of the power system is also getting stronger; fourth, it can promote the fair and effective operation of the smart grid; fifth, the continuous participation of the users of the power grid can be promoted. To ensure the continuous development of smart grid. This paper uses Hadoop technology to realize the prototype of smart grid monitoring system. With the improvement of computer level, the network technology is constantly improved. Using computer software and hardware technology to complete power system monitoring and control has become an indispensable technical means. Cloud computing technology is constantly updated and developed with the development of computer and network technology. This technology mainly uses Internet to integrate all kinds of wide area heterogeneous computing resources, which can form a very powerful computing resource pool, which has the characteristics of abstract, virtual and extensible. Using the Hadoop cluster management technology proposed by google and the data structure design based on this technology, the program flow organization and programming technology are used to realize the monitoring of the basic information of smart grid. In this paper, we use cloud computing technology to analyze the business requirements of smart grid monitoring, and design the system according to the business demand analysis. Finally, the prototype design is implemented. The reliability and stability of monitoring results are verified by prototype technology. The results show that it is reliable to realize the basic information monitoring of smart grid through the system. It is also necessary to solve the problems encountered in the development trend of smart grid to a certain extent. At the same time, the research of this topic also provides an effective direction for the development of smart grid. It also provides new ideas and methods for the development of smart grid monitoring. The experimental results show that using Hadoop technology to realize smart grid monitoring can be well applied in big data mode.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM76
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本文编号：1523198