T/CES 227-2023 Grid scheduling knowledge graph construction and fault handling framework
T/CES 227-2023 Grid scheduling knowledge graph construction and fault handling framework
Basic Information
Scope
Scope: This document provides a framework guide for the construction of a power grid dispatch knowledge graph and the related content of fault processing, technical handling, and integrated applications. This document is applicable to domestic power companies in building a power grid dispatch knowledge graph and integrated applications for fault processing based on the knowledge graph, and can serve as a technical basis for the construction of a power grid dispatch knowledge graph and fault processing. Main technical content: With the rapid development of ultra-high voltage power grids and new energy sources, the form of power grid faults is becoming increasingly complex, and the requirements for the comprehensive business capabilities of dispatch personnel in power grid fault processing are constantly increasing. When a fault occurs, dispatch personnel are required to analyze the weak links in power grid operation in real time, monitor key areas of risk prevention and control, accurately and quickly determine the cause of the fault, and take measures for accident recovery. At present, the dispatch control system mainly focuses on monitoring and analysis, and the decision-making and execution processes largely rely on the experience and adaptive capabilities of dispatch personnel. A large amount of knowledge in the form of various dispatch operation procedures, accident plans, and monitoring and disposal methods needs to be repeatedly memorized and queried by dispatch personnel. This kind of fault handling method is not only prone to omissions or oversights, but also has low execution efficiency. Moreover, it is difficult to share and inherit dispatch experience and capabilities, and it is difficult to ensure the accuracy and standardization of fault processing. To cope with the increasingly complex power grid fault forms in the future and break through the bottleneck of relying on experience in dispatch decision-making and operation, it is urgent to leverage i