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

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.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202404121
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
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article

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

SHILAP Revista de lepidopterología
Advanced Graph Neural Networks
article

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

article en

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.

SHILAP Revista de lepidopterología
Beijing Jiaotong University (CN), Shanghai Chengtou (China) (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 78%
Advanced Graph Neural Networks
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Review of the Application of Graph Database and Graph Computing in Power System Dispatch and Operation · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS