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A Predictive Control Scheduling Method Oriented to Substation Monitoring and Edge Cloud Collaboration

A technology of predictive control and scheduling method, which is applied in the direction of control/regulation system, adaptive control, general control system, etc. It can solve the problems of large delay in the cloud, no sampling edge cloud collaboration, etc., and improve the speed of computing, transmission and processing Fast, realize the effect of real-time monitoring

Active Publication Date: 2022-03-22
HEFEI UNIV OF TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the system does not sample edge-cloud collaboration, and does not solve the problem of large delays in the cloud

Method used

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  • A Predictive Control Scheduling Method Oriented to Substation Monitoring and Edge Cloud Collaboration
  • A Predictive Control Scheduling Method Oriented to Substation Monitoring and Edge Cloud Collaboration
  • A Predictive Control Scheduling Method Oriented to Substation Monitoring and Edge Cloud Collaboration

Examples

Experimental program
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Embodiment Construction

[0069] In this example, if figure 1 As shown, an edge-cloud collaborative predictive control scheduling system oriented to substation monitoring has N wireless sensor network test nodes, resource schedulers, power wireless dedicated base stations, edge devices with resource pools and different neural networks, and remote clouds. :

[0070] The wireless sensor network test node includes: two wireless communication interfaces of WIFI and LTE-A, sensors and microprocessor units, in which the sensors are responsible for collecting data such as current and voltage in the substation, and the microprocessor is responsible for processing and transmitting the collected data ;

[0071] Edge devices include: WIFI wireless communication interface, resource pool and embedded microprocessor running various neural networks; among them, the resource pool is used to store the data transmitted by the resource scheduler, and the resource scheduler makes predictions according to the status of th...

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Abstract

The invention discloses an edge-cloud collaborative predictive control scheduling method for substation monitoring. The steps include: 1. Different types of sensors in the substation collect various types of data in the substation, and encode the data according to the type and sampling time, Then transmit these data to the resource scheduler; 2. In the case of known Internet delay variation trend, the resource scheduler predicts, iterates, and solves according to the state of the current edge resource pool and the control input of the scheduler, and obtains the following Whether the data is transmitted to the edge device for processing or to the cloud for processing at a moment, so that the system is continuously optimized to achieve a reasonable allocation of computing resources. The present invention can realize the reasonable allocation of computing resources and maximize the throughput of the system while meeting the requirement of data transmission delay.

Description

technical field [0001] The invention mainly relates to the fields of substation monitoring and computing resource optimization scheduling, and specifically relates to a predictive control scheduling method for substation monitoring edge cloud collaboration, which is suitable for real-time monitoring of data in substations. Background technique [0002] Smart substation adopts advanced, reliable, integrated and environment-friendly intelligent equipment, with the basic requirements of digitalization of whole station information, networking of communication platform, and standardization of information sharing, and automatically completes basic functions such as information collection, measurement, control, protection, measurement and detection. At the same time, it is a substation with advanced functions such as real-time automatic control of the power grid, intelligent adjustment, online analysis and decision-making, and collaborative interaction. With the continuous developm...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 李奇越李希明丁津津高博孙辉张峰汪勋婷孙伟李帷韬戴盛全
Owner HEFEI UNIV OF TECH
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