Hadoop-based electric power system accident recall method

A hadoop cluster and power system technology, applied in the field of Hadoop-based power system accident recall, can solve the problems of large number of files, large single file size, poor flexibility, etc., and achieve flexible and convenient deployment, reliable record files, and data reading speed fast effect

Inactive Publication Date: 2016-07-13
NANJING UNIV OF INFORMATION SCI & TECH
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The files stored in the accident recall server mainly include database cross-section files, real-time data files collected by front-end processors, model files, screen files, alarm files, historical data files and other related files. There are many files, and the size of a single file is large, which is prone to file failures. , the inversion of the accident cannot be performed
[0004] (2) Since the accident record files are stored in the memory server, the workstations that need to perform accident inversion must obtain the files from the server and store them locally in order to perform accident inversion. As a result, accident inversion requires long-term preparation work, and the inversion low efficiency
[0005] (3) Poor flexibility
Accident records can only be deployed on one server, and accident inversion cannot be inverted by multiple machines at the same time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hadoop-based electric power system accident recall method
  • Hadoop-based electric power system accident recall method
  • Hadoop-based electric power system accident recall method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0027] like figure 1 Shown is the system architecture diagram, as follows:

[0028] (1) Establish a Hadoop cluster. HDFS is used to store very large files. An HDFS is composed of a name node (Namenode) as the primary node, a standby name node (Namenode) as the copy, and multiple data nodes (Datanodes). Namenode is the central server, which is responsible for managing the name space of the file system and client access to files, managing HDFS metadata, and ensuring the security of metadata in HDFS. Datanodes are used to store blocks and provide an access interface.

[0029] (2), Namenode, Datanodes, make full use of existing computer hardware resources, and deploy them on the servers and workstations of the scheduling automation system according to business needs.

[0030] (3) The Hadoop client is deployed on Namenode and Datanodes according to...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a Hadoop-based electric power system post disturbance review method. (1) A Hadoop distributed file system is deployed at a dispatching automation system hardware platform for providing a user with a distributed infrastructure with a system bottom layer transparent in details. (2) An accident record service is configured and defined according to an accident record, all local cache files before and after an accident are written into an HDFS of the Hadoop, the local cache files are removed after being successfully written in, and meanwhile, accident information and file information are written into dispatching automation database software and transmitted to operation and dispatching staff in an alarm manner. (3) The Hadoop distributed file system is used and the accident record service deploys any node requiring accident recording. (4) The operation and dispatching staff carry out accident inversion according to an accident recall information list. A Hadoop client acquires accident files from the Hadoop according to the above operation parameters, and loads the inversion directly. Meanwhile, the operation and dispatching staff organize and save accident relevant files locally as needed.

Description

technical field [0001] The invention relates to the field of power system scheduling automation, in particular to a method for recalling power system accidents based on Hadoop. Background technique [0002] Accident recall is an important application module in power dispatching automation system. It mainly includes two functions of accident record and accident inversion. The accident record is based on various trigger events such as: accident tripping, protection action, telemetry difference and other information, records all events and system operation environment of the power system before and after the accident, and forms an accident record file. Operation analysts use accident inversion to analyze the cause of the accident, adjust the operation mode, and restore the operation of the power grid. With the continuous development of the scale of the power grid, the current accident recall application in operation has the following deficiencies: [0003] (1) Accident memor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
CPCG06Q50/06
Inventor 张伟张心雨刘玉娟林凯郁靖
Owner NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products