图数据库与图计算在电力系统调度运行应用综述

doi:10.11930/j.issn.1004-9649.202404121

中国电力 ›› 2025, Vol. 58 ›› Issue (3): 119-131.DOI: 10.11930/j.issn.1004-9649.202404121

图数据库与图计算在电力系统调度运行应用综述

张沛¹^,²(), 杨马婧¹(), 张放¹(), 谢桦¹(), 刘广一³, 李文云⁴, 路学刚⁴, 王珍意⁴, 翟苏巍⁴

1. 北京交通大学电气工程学院，北京　100044
2. 天津大学电气自动化与信息工程学院，天津　300072
3. 上海远景科创智能科技有限公司，上海　201203
4. 云南电网有限责任公司，云南昆明　650011

收稿日期:2024-04-25 接受日期:2024-06-28 出版日期:2025-03-28 发布日期:2025-03-26
作者简介:
张沛（1972），男，博士，教授，从事电力系统调度运行、电力系统规划、新能源预测与消纳研究，E-mail：peizhang166@qq.com
杨马婧（2000），女，硕士研究生，从事电力系统优化调度研究，E-mail：22121543@bjtu.edu.cn
张放（1988），男，通信作者，博士，教授，从事电力系统动态分析、交通能源系统优化运行与控制、电力系统同步相量测量技术、基于同步相量的电力系统动态监测及控制研究，E-mail：fangzhang@bjtu.edu.cn
谢桦（1970），女，博士，副教授，从事储能规划与运行控制研究，E-mail：hxie@bjtu.edu.cn
基金资助:
中国南方电网有限责任公司云南电力调度控制中心科技项目（基于物理信息系统的“源网荷储”协同调控关键技术研究及应用，YNKJXM20222463）。

Review of the Application of Graph Database and Graph Computing in Power System Dispatch and Operation

Pei ZHANG¹^,²(), Majing YANG¹(), Fang ZHANG¹(), Hua XIE¹(), Guangyi LIU³, Wenyun LI⁴, Xuegang LU⁴, Zhenyi WANG⁴, Suwei ZHAI⁴

1. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
2. College of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
3. Shanghai Envision Kechuang Smart Technology Co., Ltd., Shanghai 201203, China
4. Yunnan Power Grid Co., Ltd., Kunming 650011, China

Received:2024-04-25 Accepted:2024-06-28 Online:2025-03-28 Published:2025-03-26
Supported by:
This work is supported by Yunnan Electric Power Dispatching Control Center of CSG (Cyper-Phyical-based "Source-Network-Load-Storage" Coordinated Dispatch and Control Technologies and Application System Development, No.YNKJXM20222463).

摘要/Abstract

摘要：

随着新能源的广泛接入和大电网的互联，电力系统运行方式发生变革，数据量激增，对信息处理的时效性要求更高，系统关联性也更为复杂。为满足新型电力系统大规模、瞬时性、关联复杂等特征，实现高效的数据分析与计算，需要探索更先进的技术手段。对图数据库和图计算在电力系统中的应用进行了深入调研和综述。首先介绍图数据库和图计算的基本概念及其发展历程，然后系统梳理这些技术在电力系统中的具体应用案例，并进行分类概括。调研发现，图数据库和图计算在电力系统中的应用已初见成效，能够有效处理大规模、复杂关联的数据，提升电力系统数据分析与计算的效率和准确性，且在电力系统中应用前景广阔。随着技术的不断发展和完善，图数据库和图计算将在电力系统的智能化、自动化和高效化运行中发挥更加重要的作用。

关键词: 图数据库, 图计算, 电网一张图, 电力系统分析, 能量管理系统

Abstract:

As the widespread integration of new energy and interconnection of large power grids, the operation modes of power systems are undergoing transformations, which leads to a fast surge in data volumes and higher demands for real-time information processing, and makes system correlations increasingly complex. To meet the characteristics of new power systems, which are large in scale, instantaneous in time, and complex in association, advanced technological methods are needed to achieve efficient data analysis and computation. This paper conducts an in-depth investigation and review of the applications of graph databases and graph computing in power systems. It firstly introduces the basic concepts and development history of graph databases and graph computing, and then systematically reviews the specific application cases of these technologies in power systems with categorized summary. The investigation reveals that graph databases and graph computing have achieved a initial success in application to power systems, which can effectively handling large-scale, complex associated data, significantly improving the efficiency and accuracy of data analysis and computation in power systems. Moreover, the prospects for the application of graph databases and graph computing in power systems are broad. As these technologies continue to develop and improve, they will play an increasingly important role in the intelligent, automated, and efficient operation of power systems.

Key words: graph database, graph computing, one graph of power grid, power system analysis, energy management system

张沛, 杨马婧, 张放, 谢桦, 刘广一, 李文云, 路学刚, 王珍意, 翟苏巍. 图数据库与图计算在电力系统调度运行应用综述[J]. 中国电力, 2025, 58(3): 119-131.

Pei ZHANG, Majing YANG, Fang ZHANG, Hua XIE, Guangyi LIU, Wenyun LI, Xuegang LU, Zhenyi WANG, Suwei ZHAI. Review of the Application of Graph Database and Graph Computing in Power System Dispatch and Operation[J]. Electric Power, 2025, 58(3): 119-131.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404121

https://www.electricpower.com.cn/CN/Y2025/V58/I3/119

图/表 4

图 1 属性图数据模型

Fig.1 Attribute graph model

图 2 电网调控数据关系图及其应用

Fig.2 Power grid regulation data relationship graph and its application

图 3 全态电网

Fig.3 All-state power grid

图 4 全息电网

Fig.4 Whole information power grid

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Review of the Application of Graph Database and Graph Computing in Power System Dispatch and Operation

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