Graph data modeling system and method for power grid topology management

Abstract

The invention discloses a graph data modeling system and method for power grid topology management. The method comprises steps of extracting characteristic attribute values of the power grid topologydata; judging the relevance between equipment by using a Pearson product moment correlation coefficient method to form topology association graphs, setting attributes of terminals and edges, forming afirst attribute structure topological graph, a second attribute structure topological graph and a third attribute structure topological graph; and filling service data information, connecting the equipment node information to form unit structures by combining the service priority levels to form unit frameworks with different priority levels, carrying out full-graph data communication on the extracted power grid graph logic model and topological structure by combining the three attribute structures, and mapping to form a power grid topology management graph data model. The modeling problem ofthe power grid topology data in the graph database is solved, the graph database technology is adopted for storing and analyzing the power grid topology data, the power grid topology data can be efficiently and rapidly stored in the graph database, and safe and stable operation of the power grid topology database is guaranteed.

Description

Technical field [0001] The invention relates to a graph data modeling system and method, in particular to a graph data modeling system and method oriented to power grid topology management. Background technique [0002] With the rapid development of urbanization and the power system, the demand for electricity continues to grow, new energy and diversified loads are developing rapidly, and new energy sources, distributed power sources, electric vehicles, and energy storage devices are emerging in large numbers; power frame structure and operation mode Increasingly complex, the terminal power load presents a new trend of rapid growth, large changes, and diversification. The distribution network has changed from "passive" to "active", and the trend has changed from "unidirectional" to "multidirectional". All make power grid operation and asset management face new problems. [0003] Grid topology data connects core businesses such as power equipment, substations, transmission and dist...

AI Technical Summary

Problems solved by technology

However, with the fine management of power grid operation and maintenance and the integration of business deployment and business development, power grid topology analysis has encountered more and more bottlenecks: ①Grid equipment management has been extended to low-voltage and rural power grid users, and the amount of power grid equipment involved is rapid The growth also leads to the geometric growth of power grid topology data; ②The operation and deployment business is integrated and the refined management is extended to the end of the power grid, which brings frequent business visits and a sharp increase in the number of users, and the pressure of power grid topology analysis surges; ③Grid dispatching applications and power grid real-time The demand for data display has further improved the demand for real-time update of power grid topology data, and also improved the performance requirements of power grid topology analysis

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