Wavelet entropy based algorithm for fault detection and classification in FACTS compensated transmission line

Distance protection of transmission lines including advanced flexible AC transmission system (FACTS) devices has been a very challenging task. FACTS devices of interest in this paper are static synchronous series compensators (SSSC) and unified power flow controller (UPFC). In this paper, a new algorithm is proposed to detect and classify the fault and identify the fault position in a transmission line with respect to a FACTS device placed in the midpoint of the transmission line. Discrete wavelet transformation and wavelet entropy calculations are used to analyze during fault current and voltage signals of the compensated transmission line. The proposed algorithm is very simple and accurate in fault detection and classification. A variety of fault cases and simulation results are introduced to show the effectiveness of such algorithm.

► FACTS devices of interest in this paper are SSSC and UPFC.
► A FACTS device placed in the midpoint of the transmission line.
► A new algorithm is proposed to classify the fault using wavelet entropy calculations.
► The algorithm identifies the fault position with respect to FACTS device.
► The algorithm is very simple and accurate in fault detection and classification.