本文關鍵詞： 智能電網 云存儲 數據監測 數據查詢　出處：《電子科技大學》2014年碩士論文　論文類型：學位論文

【摘要】：為了更好低滿足智能電網的發展要求,將來的智能電網在計算能力和信息的采集、分析、整合等需求非常大,這就需要強有力的調度中心。而目前現行的電網系統成為智能電網發展過程和發展經理的一個主要阻礙。本項目的研究意義在于可以解決目前現存電力系統運行監測。電力系統的安全評估、系統運行、系統控制也隨著該系統規模的擴大也變得越來越難控制,但電力系統的規模和結構發展也越來越復雜。而隨著電力系統的發展,電力系統也向著智能化方向發展,出現了智能電網。而智能電網具有幾個重大特征:一、系統具有較好的自愈性,可以抵御外界攻擊;二、可以支持分布式電力網絡和再生性能源不斷接入電力系統;三、電力系統的可靠性也越來越強;四、可以促進智能電網公平和有效地運行;五、促進電網用戶的不斷參與,保證智能電網的不斷發展等。本文利用Hadoop技術實現了智能電網監測的系統原型。隨著計算機水平的日益提高、網絡技術不斷完善,利用計算機軟硬件技術來完成電力系統的監測控制成為不可或缺的技術手段。云計算技術就是隨著計算機及網絡技術的發展不斷更新和發展的,該技術主要是利用Internet將將各種廣域異構計算資源整合,整合后可以形成一個非常強大的計算資源池,該資源池具有抽象性、虛擬性和可擴展性的特點。本文就是在此背景下,利用google提出的Hadoop集群管理技術和基于該技術的數據結構設計、程序流程組織和編程技術實現智能電網基本信息的監測,實現智能電網海量數據管理。本文利用云計算技術方法對智能電網監測進行了全面的業務需求分析,并根據業務需求分析進行了系統設計,最后對設計進行了原型實現。通過原型技術實現對監測結果的可靠性和穩定性進行了驗證。驗證的結果表明,通過該系統實現智能電網的基本信息監測是可靠地,也是有必要的,在一定程度上可以解決智能電網發展趨勢遇到的問題。同時,本課題的研究也為智能電網的發展提供了有效方向,也為智能電網的監測發展提供了新思路和新方法,為智能化電網自動化順利開展奠定了有效的基礎。實驗結果表明使用Hadoop技術實現智能電網監測可以在大數據模式下得到很好的應用。
[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.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM76
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本文編號：1523198