Cross-MEC resource management method considering power multi-business dynamic demand

A resource management and power business technology, applied in electrical components, transmission systems, network planning, etc., can solve the problem that edge cloud resources cannot meet the minimum tolerance index requirements of the business

Active Publication Date: 2022-08-02
STATE GRID ANHUI ELECTRIC POWER +1
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This invention aims to solve the problem that different types of electric power services are widely distributed, and the time and space of business traffic are random, and the massive flexible access leads to the failure

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
  • Cross-MEC resource management method considering power multi-business dynamic demand
  • Cross-MEC resource management method considering power multi-business dynamic demand
  • Cross-MEC resource management method considering power multi-business dynamic demand

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0087] According to a preferred embodiment of the present invention, the sampling value sequence of the real-time acquisition of the power service flow by the S1, slice monitoring module specifically includes:

[0088] S1. The slice monitoring module obtains the sampling value sequence of the power service flow in real time through the northbound open capability interface.

[0089] According to a preferred embodiment of the present invention, K is the type of power business, including power distribution automation, precise load control, power consumption information collection, and mobile robot inspection.

[0090] According to a preferred embodiment of the present invention, in formula (5), 1.605 obtains Φ(1.605)=0.95 through a table look-up method, where Φ(x) is a standard normal distribution function.

[0091] According to a preferred embodiment of the present invention, the constraints include:

[0092]

[0093]

[0094]

[0095] Further, in the S6, iteratively u...

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 relates to the technical field of electric power 5G application, in particular to a cross-MEC resource management method considering electric power multi-service dynamic requirements, which comprises the following steps: a slice monitoring module acquires a sampling value sequence of electric power service traffic in real time, models the service k traffic into a normal distribution density function according to a central limit theorem, and stores the normal distribution density function; a sliding window sampling value sequence is adopted to calculate maximum likelihood estimation values of a service traffic probability density mean value and variance in a P * Ts time period, a service k traffic value under 95% probability is defined as a service demand threshold value, all service traffic demand threshold values are obtained through calculation, modeling is carried out on a minimization function, a Lagrange operator is iteratively updated through a sub-gradient algorithm, and a maximum likelihood estimation value of a service traffic probability density mean value and variance in a P * Ts time period is obtained. And solving an optimal MEC resource unit allocation result of the minimized target function under the constraint condition. Based on the method, the problem of massive multi-service flexible access requirements in the power industry is effectively solved, and the cost is effectively reduced while the real-time response success rate of massive service requirements is greatly improved.

Description

technical field [0001] The invention relates to the technical field of electric power 5G applications, in particular to a cross-MEC resource management method that takes into account the dynamic demands of electric power multi-services. Background technique [0002] The real-time balance of all links in the power system is a necessary condition for the stable and reliable operation of the entire system. With the acceleration of high-proportion renewable energy consumption, high-level voltage transmission and electrification in the field of energy consumption, the demand for integrated regulation of source, network and load is increasing day by day, and power systems are increasingly relying on communication networks to achieve extensive power facilities, machines and people. Interconnection, two-way interaction. The power system communication network carries a large amount of heterogeneous business data such as grid perception, control, and management. Network congestion le...

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
IPC IPC(8): H04W16/10H04W24/02H04L41/0893
CPCH04W24/02H04L41/0893H04W16/10Y04S10/50
Inventor 于浩金鑫林航李振伟向辉陆俊吕玉祥董亚文陈巨龙吴昊吴辉陈颢王红艳
Owner STATE GRID ANHUI ELECTRIC POWER
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