Modeling and application of marketing and distribution data based on graph computing  

作　　者：Kai Xiao Daoxing Li Xiaohui Wang Pengtian Guo 

机构地区：[1]China Electric Power Research Institute Co.Ltd.,Beijing 100192,P.R.China

出　　处：《Global Energy Interconnection》2022年第4期448-460,共13页全球能源互联网（英文版）

基　　金：This work was supported by the National Key R&D Program of China(2020YFB0905900).

摘　　要：Integrating marketing and distribution businesses is crucial for improving the coordination of equipment and the efficient management of multi-energy systems.New energy sources are continuously being connected to distribution grids;this,however,increases the complexity of the information structure of marketing and distribution businesses.The existing unified data model and the coordinated application of marketing and distribution suffer from various drawbacks.As a solution,this paper presents a data model of"one graph of marketing and distribution"and a framework for graph computing,by analyzing the current trends of business and data in the marketing and distribution fields and using graph data theory.Specifically,this work aims to determine the correlation between distribution transformers and marketing users,which is crucial for elucidating the connection between marketing and distribution.In this manner,a novel identification algorithm is proposed based on the collected data for marketing and distribution.Lastly,a forecasting application is developed based on the proposed algorithm to realize the coordinated prediction and consumption of distributed photovoltaic power generation and distribution loads.Furthermore,an operation and maintenance(O&M)knowledge graph reasoning application is developed to improve the intelligent O&M ability of marketing and distribution equipment.

关 键 词：Marketing and distribution connection Graph data Graph computing Knowledge graph Data model 

分 类 号：F274[经济管理—企业管理] O157.5[经济管理—国民经济]