Mapping the Intelligent Electronic Devices (IEDs) output interface address description datasets to the intelligent recorder is the groundwork for the recorder to accurately collect IEDs' operation information. These datasets, which are also intelligent recorder configuration datasets, are included in the Substation Configuration Description (SCD) file of an intelligent substation. The mainstream mapping method is manually mapping these datasets based on output interface Chinese description texts. When the number of IEDs is extremely large, the manual operation often takes a huge amount of time, together with the higher labor cost. And since the Chinese description texts have a certain degree of irregularity, it also poses a problem for the automatic mapping of the datasets. Aiming at this problem, this paper proposes an automatic mapping method of IEDs configuration datasets based on a deep learning framework-Dynamic Convolutional Neural Network (DCNN). Firstly, it uses the word representation model Word2vec to vectorize words in Chinese description texts as well as their semantics relationships. Then word vectors will be imported in the DCNN, which, based on its multilayer abstract learning characteristics of typical sample features, can perform semantic law mining and automatic mapping. The configuration datasets of intelligent recorder will be automatically mapped based on the Chinese descriptions mapping result. The Practical example shows that the Chinese description texts classification method based on the Dynamic Convolutional Neural Network model has strong semantic analysis ability and high classification accuracy, which effectively improves the accuracy of automatic mapping of intelligent recorder configuration data.

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A method of data connection by a digital simulator and EMS system is provided in the paper, and integration with off-line data and EMS real-time data can be operated automatically. On present situation, almost all of analyses of electric power system adopt off-line data which is much more onerous input in computer by hand, and the result can not accurately describe the actual condition in operation. With the use of standard IEC61970 in our country, EMS system has the uniform data-interface. Applying on-line data to playback of system failure, the contrast of oscilloscope data and simulation data demonstrates that on-line data can not only describe the steady characteristic, but also accurately describe transient characteristic of power system. Therefore, researching on EMS data-interface will greatly improve the accuracy of simulation veracity and it will has great significance.