大数据2024,Vol.10Issue(2) :179-191.DOI:10.11959/j.issn.2096-0271.2024027

基于图模型的电力系统碳流计算优化研究

Research on power system carbon flow calculation based on graph database and graph computing engine

朱广新 周春雷 李俊妮 宋继勐 史昕 沈子奇
大数据2024,Vol.10Issue(2) :179-191.DOI:10.11959/j.issn.2096-0271.2024027

基于图模型的电力系统碳流计算优化研究

Research on power system carbon flow calculation based on graph database and graph computing engine

朱广新 1周春雷 1李俊妮 1宋继勐 1史昕 1沈子奇1
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作者信息

  • 1. 国家电网有限公司大数据中心,北京 100053
  • 折叠

摘要

首先介绍了图数据模型、图数据库和图计算的基本原理,包括图数据库的数据模型、查询语言以及常见图计算方法等.然后详细阐述了电力系统的图数据模型构建方法,将系统组件表示为节点,组件间关系表示为边.最后设计了碳流计算的图算法流程,利用AtlasGraph图数据库及图计算组件进行碳流传递迭代计算.该方法充分利用图数据库和图算法的优势,实现了对电力系统碳流的精确高效计算.该研究为电力系统碳排放的监测、分析和优化提供了有力支持,对于推动电力系统绿色低碳发展具有重要意义.

Abstract

Firstly,the basic principles of graph database and graph algorithms are introduced,including the data model of graph database,query language,and common graph algorithms.Then,the method of constructing the graph model of the power system is elaborated,where system components are represented as nodes and component relationships are represented as edges.Finally,the graph algorithm process of carbon flow calculation is designed,using the AtlasGraph graph database and graph computing components to perform carbon flow iterative calculation.This method makes full use of the advantages of graph database and graph algorithms,achieving accurate and efficient calculation of power system carbon flow.This research provides strong support for monitoring,analyzing,and optimizing carbon emissions in power systems,and is of great significance for promoting the green and low-carbon development of power systems.

关键词

图数据库/图计算引擎/电力系统/碳流计算/绿色低碳发展

Key words

graph database/graph computing engine/power system/carbon flow calculation/green and low-carbon development

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基金项目

国家电网大数据中心科技项目(SGSJ0000SJJS2100158)

出版年

2024
大数据
人民邮电出版社

大数据

CSTPCD
ISSN:2096-0271
参考文献量27
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