大规模智能电网中数据存储方法的研究

发布时间：2018-06-20 21:30

本文选题：智能电网 + 存储模型　；参考：《辽宁大学》2012年硕士论文

【摘要】：近年来，随着欧美等主要发达国家对能源供应安全、应对气候变化等重大问题关注度的不断升级，尤其是在金融危机情况下对新技术产业带动作用的期待，智能电网已成为世界范围内的研究热点和关注重点。目前，世界各国的智能电网都处于理论研究与规划试点阶段，虽然在智能发电、输电、变电、配电、用电以及智能调度等各个环节的试点项目都取得了突出的成就，但是这些试点项目的规模通常较小，借鉴的依然是在传统电网中使用的基于集中式的关系数据库存储模型和存储方法。然而，智能电网需要监测的电气设备分布范围广，获取的数据以千位数量级增长，对可靠性和实时性要求更高，面对这些海量、分布式、多源异构的信息，常规的数据存储方式会造成网络的重载或阻塞。因此，传统的集中式关系数据库无法满足智能电网对数据的存储及实时读取的要求。本文针对未来大规模智能电网中海量动态感知数据的存储问题进行了深入研究，并充分考虑了智能电网对数据的传输、存储与查询的客观要求，提出了一种以数据为中心的支持未来大规模智能电网的数据存储方法，，具体工作如下：针对智能电网地域分布范围广的特点，提出建立一种按照地理区域进行逻辑划分的新型数据存储模型；针对智能电网需要大范围传输数据以及对实时性的要求，提出了一种新的数据转发方法，目的是能够达到以最快速度、最少能量传输数据的目的；最后给出了一种新的合理有效的数据存储方法，达到负载均衡的目的，同时能够提高系统的可用性和存储能力。实验将本文提出的数据存储与转发方法与传统方法进行性能对比，结果表明本文给出的方法能够达到负载均衡的目的，降低系统总能耗，增加系统存储能力和存储效率。
[Abstract]:In recent years, as major developed countries, such as Europe and the United States, have been paying more and more attention to major issues such as energy supply security and combating climate change, especially in the context of the financial crisis, they are looking forward to the leading role of the new technology industry. Smart grid has become a worldwide research hotspot and focus. At present, the smart grid all over the world is in the experimental stage of theoretical research and planning, although the pilot projects of intelligent power generation, transmission, substation, distribution, power consumption and intelligent dispatching have made outstanding achievements. However, the scale of these pilot projects is usually small, and the centralized relational database storage model and storage methods used in traditional power systems are still used for reference. However, the smart grid needs to monitor a wide range of electrical equipment, access to data in the order of thousands of digits, higher requirements for reliability and real-time, faced with these massive, distributed, multi-source heterogeneous information, Conventional data storage can cause overloading or blocking of the network. Therefore, the traditional centralized relational database can not meet the smart grid data storage and real-time reading requirements. In this paper, the storage problem of mass dynamic perceptual data in future large-scale smart grid is deeply studied, and the objective requirements of data transmission, storage and query for smart grid are fully considered. In this paper, a data-centric data storage method is proposed to support the future large-scale smart grid. The main work is as follows: aiming at the wide regional distribution of smart grid, In this paper, a new data storage model is proposed, which is divided logically according to geographical area, and a new data forwarding method is proposed to meet the need of large-scale data transmission in smart grid and the requirement of real-time. The aim is to transmit data with the fastest speed and the least energy. Finally, a new reasonable and effective data storage method is proposed to achieve load balancing, and at the same time, it can improve the availability and storage capacity of the system. The experimental results show that the proposed method can achieve the purpose of load balancing, reduce the total energy consumption of the system, and increase the storage capacity and storage efficiency of the system.
【学位授予单位】：辽宁大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TM76;TP333

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