Adaptive concept of controlled islanding in power systems for wide‐area out‐of‐step prediction of synchronous generators based on adaptive tripping index. Issue 16 (30th July 2018)

• Record Type: Journal Article
• Authors: Zare, Hassan; Yaghobi, Hamid; Alinejad‐Beromi, Yousef
• Is Part Of: IET generation, transmission & distribution. Volume 12:Issue 16(2018)
• Page Start: 3829
• Page End: 3836
• Publication Date: 2018-07-30
• Subjects: power system measurement -- distributed power generation -- synchronous generators -- power system transient stability -- rotors -- time‐domain analysis -- correlation methods -- machine protection; controlled islanding -- power systems -- synchronous generators -- wide‐area out‐of‐step prediction -- adaptive tripping index -- tripping signal online prediction -- wide‐area measurement systems -- WAMS -- WAOOS protection -- unstable inter‐area oscillations -- sinusoidal line -- WAOOS transient instability -- coherent generator online identification -- correlation coefficient evaluation -- global tripping signals -- GTS -- inter‐area rotor angle oscillation -- inertia frame -- critical inter‐area angle -- IEEE 39‐bus test system -- time‐domain simulations -- sampling time; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.0319
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Here, based on wide‐area measurement systems (WAMS), an adaptive tripping index (TI) is proposed for online prediction of tripping signals with respect to wide‐area out‐of‐step (WAOOS) protection of synchronous generators. The proposed TI included two different equations consisting of a straight line for unstable inter‐area oscillations and a sinusoidal line for WAOOS transient instability. For online identification of coherent generators with respect to inter‐area oscillations, based on evaluating the correlation coefficients between generator behaviours, an index is proposed from which the global tripping signals (GTS) are calculated. The GTS consist of the rate of change of inter‐area rotor angle oscillation between two oscillating areas in the centre of inertia frame. Actually, the proposed scheme is an adaptive and online index from which the critical inter‐area angle is adjusted individually by evaluating GTS at each sampling time gathered from the WAMS data. The proposed strategy is implemented on an IEEE 39‐bus test system and its performance is investigated by simulating typical scenarios during time‐domain simulations. The results show the effectiveness of the proposed scheme for fast prediction of WAOOS protection in real‐time environment.