Cloud-side coordinated intelligent power grid monitoring system and resource allocation and scheduling method thereof

A smart grid and monitoring system technology, applied in transmission systems, digital transmission systems, electrical components, etc., can solve problems such as complex system communication, increased input costs, and inability to guarantee resource utilization

Active Publication Date: 2020-05-19
HEFEI UNIV OF TECH
View PDF10 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this system uses a lot of communication modules of different standards, which makes the system communication more complicated, and has highe

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
  • Cloud-side coordinated intelligent power grid monitoring system and resource allocation and scheduling method thereof
  • Cloud-side coordinated intelligent power grid monitoring system and resource allocation and scheduling method thereof
  • Cloud-side coordinated intelligent power grid monitoring system and resource allocation and scheduling method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0086] In this example, if figure 1 As shown, a cloud-edge collaborative smart grid monitoring system is a wireless sensor network node including N different types of sensors, a power wireless private network base station, an edge device with multiple neural networks, and a remote cloud system;

[0087] Among them, the wireless sensor network node includes: two kinds of wireless communication interfaces of WIFI and LTE-A, sensors and microprocessor units;

[0088] Edge devices include: WIFI wireless communication interface and embedded microprocessors running multiple neural networks; each neural network has different precision and consumes different computing resources, and is used for abnormal detection of voltage and current time series data;

[0089] The cloud includes: LTE-A wireless communication interface, Internet interface and neural network model;

[0090] Sensor-power wireless private network base station-cloud: The sensor transmits the collected data to the power ...

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 cloud-side cooperative intelligent power grid monitoring system and a resource allocation and scheduling method thereof. The system comprises wireless sensor network nodes ofN different types of sensors, a power wireless private network base station, edge equipment with a plurality of neural networks, and a remote cloud system. The system can collect the state of a powergrid and carry out real-time anomaly monitoring based on a deep neural network, and has two data transmission methods: one method is to transmit the data acquired by the sensor to the power wirelessprivate network base station through an LTE-A wireless communication interface, and then to transmit the data from the power wireless private network base station to the cloud through the Internet forcloud processing; the other method is to transmit data acquired by the sensor to the edge equipment through a WIFI wireless communication interface, and to select different neural networks for monitoring processing. Under the condition of meeting the requirement of data transmission time delay, wireless communication resources and computing resources of edge equipment are optimally allocated, sothe throughput of the system is maximized.

Description

technical field [0001] The invention relates to the fields of smart grid monitoring and resource allocation and scheduling, in particular to a cloud-edge collaborative smart grid monitoring system and a resource allocation and scheduling method, which are suitable for real-time abnormal monitoring of data in substations. Background technique [0002] The smart grid is the intelligence of the power grid. It is based on an integrated, high-speed two-way communication network, through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control method and advanced decision support system technology. , to achieve the goals of reliability, safety, economy, efficiency, environmental friendliness and safe use of the power grid. With the continuous development of the power industry, the grid is becoming more and more complex, which makes the detection of grid faults more difficult. Power grid fault diagnosis is to identify the caus...

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): H04L29/08H04L12/26H04L12/24H04L12/911H04W4/38H04W72/12
CPCH04L67/125H04L67/10H04L43/0817H04L41/0677H04L41/145H04L47/82H04W4/38H04W72/542
Inventor 李奇越邓玉星孙伟李帷韬操腾飞唐皓辰
Owner HEFEI UNIV OF 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap