scholarly journals Research on the Comparison Test of Massive Data Storage in Electric Power Acquisition

2016 ◽  
Author(s):  
Qi Qian ◽  
Jianhua Yang ◽  
Tao Liu ◽  
Shuiping Ding
Keyword(s):  
Electric Power ◽  
Data Storage ◽  
Massive Data ◽  
Comparison Test

scholarly journals The computing and information system for research of prospective electric power grids expansion

2019 ◽  
Vol 29 (4) ◽  
pp. 465-481
Author(s):  
Ivan Trofimov ◽  
Leonid Trofimov ◽  
Sergei Podkovalnikov ◽  
Lyudmila Chudinova ◽  
Lev Belyaev ◽  
...  
Keyword(s):  
Information System ◽  
Power Systems ◽  
Electric Power ◽  
Data Storage ◽  
Software Tool ◽  
Data Representation ◽  
Power Grids ◽  
Operating Modes ◽  
Wide Range ◽  
Object Oriented Database

The paper describes the software tool implemented by Melentiev Energy Systems Institute SB RAS, aimed to solve wide range of energy issues. In this article, the Computing and Information System (CIS) means a software tool that provides collection, transfer, processing, storage, geo-visualization, and output of digital technical and economic data of different energy/power entities. Besides, this tool is incorporated within a mathematical model for optimization of expansion and operating modes of power systems. The paper discusses the example of how data storage and data representation in object-oriented database assist to improve efficiency of research prospective electric power systems expansion and operation.

Research on the Smart Grid Dispatching System Based on Cloud Computing

2013 ◽  
Vol 385-386 ◽  
pp. 1730-1733
Author(s):  
Lian Li ◽  
Zhi Xin Huang
Keyword(s):  
Smart Grid ◽  
Data Storage ◽  
Support System ◽  
Technical Support ◽  
Massive Data ◽  
Stability Assessment ◽  
Key Points ◽  
Power Operation ◽  
Cloud Computation ◽  
And Control

Dispatching being the core of the power operation and control, intelligent dispatching is the key point of the construction of unified and strong smart grid. During the construction of smart grid dispatching technical support system, many key points and difficulties must be addressed including massive data storage and processing, huge computational applications of security and stability assessment, unified management and flexible expansion of the system, flexible deployment and dispatching operations, integration of calculation and analysis capabilities. Based on the relevant characteristics of cloud computation, there latest technologies using cloud computation and the optimization of platform in constructing smart grid dispatching technical support system were discussed.

An HBase-Based Platform for Massive Power Data Storage in Power System

2014 ◽  
Vol 1070-1072 ◽  
pp. 739-744
Author(s):  
Zi Jian Yan ◽  
Peng Sun ◽  
Xiao Mei Liu
Keyword(s):  
Data Storage ◽  
Rapid Development ◽  
Database System ◽  
Massive Data ◽  
Huge Data ◽  
Sample Data ◽  
Design Software ◽  
Power Application ◽  
Data Design ◽  
Big Data Technology

With the rapid development of the grid scale, there are huge data generated in grid, which include many sample data, alarm data used for real-time monitor and analysis, the traditional dispatching system can’t meet the demands of big capacity storage very well. In recent years, big data technology develop very fast, among it the distributed column-oriented database system is rising gradually with the vigorous development of cloud computing. Considering the character of power data, this paper studies how to use distributed column-oriented database system in power application for storing massive increasing data. The paper design massive data storage structure of power data, design software frame and deployment of massive power data storage. Through experiment it is feasible for distributed column-oriented database to be applied in EMS system through experiment.

Research on the Security of Massive Data Storage

2013 ◽  
Vol 347-350 ◽  
pp. 2818-2820
Author(s):  
Guang Hui Zhai ◽  
Juan Li
Keyword(s):  
Data Storage ◽  
Authentication Protocol ◽  
Massive Data ◽  
Reed Solomon Codes

Storage of massive data is receiving more and more attention in recent years and it has been widely used in many fields, meanwhile, its security is facing a great challenge, too. In this paper, we propose a distributed authentication protocol to ensure the security of massive data storage, this method utilizes Reed-Solomon codes to ensure the availability and reliability of data. In addition, it makes use of the Sobol sequences token to pre-calculate and verify the integrity of data. The proposed method can not only verify the correctness of the storage, but also recognize the server which executes wrong operation.

Research of Smart Meter Massive Data Storage Based on Cloud Computing Platform

2013 ◽  
Vol 341-342 ◽  
pp. 1434-1438
Author(s):  
Weng Ting Li ◽  
Yan Zheng ◽  
Shao Bo Liu ◽  
Zhao Zhi Long ◽  
Zhi Cheng Li
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Data Storage ◽  
Massive Data ◽  
Smart Meter ◽  
Smart Meters ◽  
Computing Platform ◽  
Cloud Computing Platform ◽  
Distributed Computing Platform ◽  
Grid Operation

With the comprehensive construction of the smart grid, the smart grid operation control and interactive service system will be initially formed. The smart terminal of smart grid are smart meters, and they produce a large number of various data all the time. That how to most effectively manage these massive data storage is an important research point for improving the intelligence service. This paper studies the smart meter massive data storage management based on cloud computing platform. The Hadoop distributed computing platform for smart meter massive data management is reliable, efficient, scalable storage.

Hadoop-Based Model of Mass Data Storage

2014 ◽  
Vol 513-517 ◽  
pp. 632-634
Author(s):  
Yang Li
Keyword(s):  
Data Storage ◽  
Distributed Database ◽  
Massive Data ◽  
Computing Technique ◽  
Mass Data ◽  
Efficient Storage ◽  
Database Technology ◽  
Massive Data Processing ◽  
Computing Models ◽  
Data Processing Methods

Aiming at more and more data produced by network, it is extremely important to manage and store these data by using mass data storage platform. This paper presents a method of managing rationally and storing mass data based on distributed computing technique. It is based on Hadoop distributed platforms, mainly using the HDFS distributed file system, MapReduce parallel computing models and Hbase distributed database technology as massive data processing methods, to achieve the efficient storage. The model can overcome the existing deficiencies of the current means of storage and solve the problems of mass data in storage, which has good scalability and reliability, thus the efficiency of storage can be further improved.

Research and Improvement of Database Storage Method

2014 ◽  
Vol 608-609 ◽  
pp. 641-645 ◽  
Author(s):  
Feng Sheng Zeng
Keyword(s):  
Parallel Processing ◽  
Data Storage ◽  
Processing Method ◽  
High Availability ◽  
Map Reduce ◽  
Massive Data ◽  
Distributed Data ◽  
Simulation Test ◽  
Persistent Data ◽  
High Scalability

This paper presents a massive data storage and parallel processing method based on MPP architecture, and put forward full persistent data storage way from the client to request, and the integration the idea of Map/Reduce, the system will be distributed to each data node, the data has high scalability, high availability, high concurrency. And the simulation test and verifies the feasibility of mass data storage mode by building a distributed data node.

Research on the Optimization of the Storage Strategy of HDFS

2014 ◽  
Vol 989-994 ◽  
pp. 2450-2453 ◽  
Author(s):  
Hui Cao
Keyword(s):  
Data Storage ◽  
Optimization Algorithm ◽  
Massive Data ◽  
Storage Technology ◽  
The Cost

The storage of the massive data puts forward higher requirements in quantity and quality of hardware so that the cost of hardware rises. We have to use software for weakening the requirements of hardware. HDFS is just born for solving the massive data storage. Through the analysis of the files of the organization, storage mode, storage technology etc. this paper presents the optimization of data storage strategy of HDFS and the description of the optimization algorithm.

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