In order to identify PD types in GIS effectively and ensure the safe and stable operation of equipment, a PD type in GIS identification method based on EEMD energy moment and ISSA-SVM algorithm is proposed. Firstly, a GIS partial discharge experiment platform that can produce four PD effects is built to obtain four PD signals. Then, EEMD and energy moment are used to decompose the modes and extract the feature vectors of the four PD signals. Finally, ISSA-SVM algorithm is used to identify GIS PD types. Experiment results show that the proposed method can identify different PD types in GIS effectively, and the recognition accuracy is improved by 16. 7% and 8. 5% respectively compared with PSO-SVM and SSA-SVM algorithm. The effectiveness and superiority of the proposed PD type identification method in GIS are verified by the experiment.