Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data network load distribution method for data centers capable of reducing power grid loss

A data center and data network technology, applied in the direction of electrical digital data processing, resource allocation, data processing applications, etc., can solve the problems of low utilization rate, high redundancy, etc., to reduce active network loss, improve power flow distribution, and good application foreground effect

Active Publication Date: 2017-12-01
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +5
View PDF12 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First, large-scale communication operators and Internet companies tend to deploy data centers in different regions in order to reduce the investment in data center electricity costs, making the data center a load on different nodes of the power grid or even different power grids; second, the data center Often excessive hardware configuration, high redundancy, low utilization

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
  • Data network load distribution method for data centers capable of reducing power grid loss
  • Data network load distribution method for data centers capable of reducing power grid loss
  • Data network load distribution method for data centers capable of reducing power grid loss

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings of the specification.

[0034] Such as figure 1 As shown, the data network load distribution method between data centers for reducing power grid loss of the present invention includes the following steps:

[0035] Step (A), according to the operating frequency and utilization of the server CPU in the data center, perform server energy consumption modeling, and establish a server energy consumption model P server (f, U), as shown in formulas (1) and (2),

[0036]

[0037] P server (f,U)=P fixed +P CPU =P fixed +k·f 3 ·U (2)

[0038] Among them, λ is the network load borne by each server per unit time, μ is the processing capacity of each server, U is the CPU utilization rate, and P fixed It is a fixed value that represents the power of components other than the CPU, k is the coefficient calculated by formula (2), and f is the operating frequency of the CPU;

[0039] Step (B), a...

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 data network load distribution method for data centers capable of reducing power grid loss. According to work frequency and a utilization rate of a server CPU in the data center, energy consumption of each data center is acquired, and data network load condition and power network load condition in a next period are predicted, and under unified scheduling of a power grid, network load distribution of the data centers is controlled, so that power grid tide distribution is improved, active network loss of the system is reduced, an optical distribution scheme for data network load between the data centers is found, significant loss reduction benefit is achieved, electricity consumption of the data centers are included into the scope of improving the state of the power network as a resource, and thus good application prospects are provided.

Description

Technical field [0001] The invention relates to the technical field of power dispatching, in particular to a data network load distribution method between data centers for reducing grid loss. Background technique [0002] At present, in order to receive and process the rapidly increasing amount of data and calculations in the power system, the construction scale of the data center is constantly expanding, and the power consumption is constantly increasing. According to statistics, in 2011, data center power consumption accounted for about 1.5% of global power consumption, and this proportion may reach 8% in 2020. In 2015, the total power consumption of data centers in my country reached 100 billion kWh, which is equivalent to the power generation of the Three Gorges Hydropower Station in one year. It can be seen that data center energy consumption has become an extremely considerable demand response resource. [0003] Compared with the transmission of electric energy in cables, op...

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): G06F9/50G06Q10/06G06Q50/06
CPCG06F9/505G06F9/5083G06Q10/0631G06Q50/06Y02D10/00Y02E40/70Y04S10/50
Inventor 崔高颖范洁郑爱霞陈霄吴刚高赐威周玉石坤
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com