earticle

영어

The artificial intelligence techniques are widely applied to many works of engineering. This paper presents the application of the artificial intelligence techniques to identify the AC-DC power system parameters. The DC-link filters are normally included in such power systems. For some applications, accurate DC-link filter parameters are very important for the system analysis and design. According to the measurement errors and a large variation in a capacitor value, the parameter identification is needed to provide the accurate parameters. Therefore, the paper presents the identification of DC-link filter parameters using the adaptive tabu search technique and the genetic algorithm. The experimental results from the testing rig and the averaging model of the system are used in the searching process. The identification results show that the accurate DC-link filter parameters including line parameters on the AC side can be easily obtained via the proposed method. Moreover, the resulting parameters are very useful for a stability analysis of the power electronic systems due to a constant power load.