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Microgrids need fast protection. The analysis of fault characteristics is the key procedure for fault detection, which is of great importance in microgrid’s reliable and safe operation. Thus, it is meaningful to study and analyze the fault characteristics of microgrid. In this paper, an extraction method of fault characteristics for grid-connected microgrid based on Hilbert-Huang Transform is proposed. Sliding window strategy is used to ensure valid empirical mode decomposition and real-time signal processing. With a proper window width and Hilbert-Huang Transform, modified instantaneous amplitude of three-phase currents are obtained as the fault characteristic. Based on simulations of a typical grid-connected microgrid model, the fault characteristics obtained by using the proposed signal extraction method are analyzed. The effectiveness of the proposed method and the proposed fault characteristic are verified, which is promising in fast fault detection for grid-connected microgrid.
Inspec keywords: power generation faults; power generation protection; Hilbert transforms; signal detection; fault diagnosis; power generation reliability; distributed power generation
Subjects: Signal detection; Integral transforms; Distributed power generation; Reliability; Power system protection