Early warning of power grid dispatching system faults based on knowledge graph

Dispatching system is an essential part for power system operation, where control signals are sent out based on the analysis of real-time data. Dispatch system itself is a complex-structured computer system, containing lots of devices. Consequently, potential faults of software and hardware endanger the security of power system. To address this issue, an early waring method for dispatching system faults is proposed based on knowledge graph. Firstly, dispatch system warning signals are digitalized into vectors, which is convenient for rule-based knowledge graph. Then, a discrete-continuous combined algorithm is proposed to calculate the similarity of event chains. Finally, a knowledge graph is established to save the event chains, where real-time warning vectors are analyzed based on the knowledge graph for upcoming faults. Numerical test is conducted in a simulated dataset. The test results prove the efficiency and accuracy of the proposed method.