A Sub-Cycle phase angle distance measure algorithm for power transformer differential protection. (May 2022)

• Record Type: Journal Article
• Authors: Tajdinian, Mohsen; Samet, Haidar; Ali, Ziad M.
• Is Part Of: International journal of electrical power & energy systems. Volume 137(2022)
• Publication Date: 2022-05
• Subjects: Inrush Current -- Differential Protection -- Power Transformer; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107880
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Proposing discrimination index based on fundamental phase angle of the current signal. The proposed index's threshold does not require transformer parameters. Classifying internal/external faults and inrush currents in sub-cycle considering CT saturation. Enhancing reliability and response time in the various fault/inrush conditions. Abstract: Power transformer differential protection may confront mal-functioning in authentic discrimination between inrush and internal faults. To tackle the latter mal-functioning, a new two-stages algorithm based on phase content of the current signal of the current transformers (CTs) is put forward. The proposed algorithm is designed based on the fact that the fundamental phase angle of a fault signal ideally remains constant during the fault. However, during inrush cases, the phase angle varies. Also, during the internal fault, the phase angles of the current signals of CTs are in phase while during the external fault, the phase angles of the current signals of CTs are 180° out of phase. In the first stage, the proposed algorithm calculates the fundamental phase angles of the current signals of the CTs using sub-cycle modified recursive least squares (MRLS). Afterward, normalized mean residue (NMR) is employed to measure distance between the estimated phase angles of the CT's currents. MRLS and NMR algorithms require limited samples (i.e. 10 and 5 samples respectively) for executing their calculations. Performance evaluation with simulated and experimental recorded current signals shows the ability of the proposed method in discrimination of the internal faults from inrush and external fault currents.