A distribution network management method based on edge computing technology

Abstract

The invention proposes a distribution network management method based on edge computing technology, adopts a mobile edge computing platform architecture design scheme and an edge model structure to improve distribution network management and operation, and belongs to the field of electrical engineering science. Mobile Edge Computing (Mobile Edge Computing, MEC) refers to a new type of computing model that performs calculations at the edge of the network. The objects of edge computing operations include downlink data from cloud services and uplink data from Internet of Everything services. Edge computing The edge refers to any computing and network resources on the path from the data source to the cloud computing center. This technology is largely improving distribution network management and operation.

Description

technical field [0001] The invention relates to a distribution network management method based on edge computing technology, which belongs to the field of electrical engineering science. Background technique [0002] With the in-depth development of power distribution network technology and application structure, distribution network management and operation work is very heavy in various environments. Since the distribution network system is a system with wide distribution, various power equipment, and complex network structure, the following problems are prone to occur in traditional technologies during operation and management: [0003] (1) There are many data acquisition nodes, which makes the data acquisition and detection process complicated, the collected data is inaccurate, the data transmission bandwidth is small, and the data processing cost is high. The data acquisition, data transmission and calculation in the prior art will cause a heavy load on the communicatio...

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Problems solved by technology

[0003] (1) There are many data acquisition nodes, which makes the data acquisition and detection process complicated, the collected data is inaccurate, the data transmission bandwidth is small, and the data processing cost is high

The data acquisition, data transmission and calculation in the prior art will cause a heavy load on the communication system and the computing system stored in the master station;

[0004] (2) The distribution of power equipment in the network distribution system is scattered, on-site installation, management, and maintenance are difficult, and it is difficult for users to achieve centralized management. There are many difficulties in collecting, analyzing and processing information;

[0005] (3) In the expansion of the distribution network business, the entire system is redundant, and manual methods are mostly used for equipment purchase, power data management, equipment commissioning, distribution network operation and maintenance, and distribution network operation management, and the management and operation efficiency is low.

[0006] Therefore, the existing power data management structure is not perfect, data collection has errors and leakage phenomena, distribution network management lags behind, and the operation and maintenance system is not perfect

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