Research on Grid Edge Agent Based on Enhanced Analysis of Distribution Network Information Processing

Abstract

In the deepening construction of the strong smart grid and the rapid development of the ubiquitous IoT distribution network, issues such as lack of management and poor sharing of data during the mutual penetration and fusion of multiple types of data in the electric power Internet of Things are highlighted. Based on the analysis of the current situation of data acquisition and control of middle and low voltage distribution network, the information processing system of distribution network based on grid edge agent is proposed in this paper. The data of distribution network are analyzed and mined from multiple levels and angles, and the autonomic computing function similar to human brain is endowed to the distribution grid. In this paper, a comprehensive behavioral atlas of distribution network is constructed, and intelligent assisted strategy technology is proposed and successfully applied in the power system of a city in Jiangsu. This article introduces the system design concept, overall architecture and main functions in detail, and prospects its core technology and potential application range. The pilot application proved the rationality of the technical concept.