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

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...

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 of local edge cloud resources. The problem of meeting the minimum tolerance index requirements of the business provides a cross-MEC resource management method that takes into account the dynamic needs of multiple power services

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