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Traditional tests in the substation training fail to fit the ability of the operation and maintenance personnel and precisely describe their weakness. In this paper, an adaptive test model based on the knowledge graph in the domain of substation is constructed. With the help of the knowledge point correlations in the knowledge graph, the model updates the knowledge level of the testee in real time according to the response of each question, and automatically selects the next question that fits the individual. In cases where the test question covers different knowledge amount, the model constructs the knowledge state space or the adjacency/reachability matrix to infer the knowledge mastery, which improves the test efficiency and quality by reasonably reducing the number of questions during the test. Calculation results demonstrate that the model can accurately capture the weakness the substation personnel and has broad application prospects on evaluations in the vocational education.

The power grid large-scale blackout and collapse always puts our society in risk. Power grid companies must strengthen the ability to deal with blackout and collapse. The complex power grid collapse and restoration process simulation and deduction system is designed. System structure and system functions are described. This paper focused on the key technologies including power system simulation oriented to the collapse and restoration process, relay protection and automatic device simulation, and multi-agent simulation deduction. The system can achieve accurate and complete simulation of complex power grid collapse and restoration process, to reappear the whole process. It can provide simulation and training tools for power grid dispatchers and operators, to enhance the emergency ability to deal with power grid collapse.