Passive islanding detection technique for synchronous generators based on performance ranking of different passive parameters. Issue 17 (3rd November 2017)

• Record Type: Journal Article
• Authors: Raza, Safdar; Arof, Hamzah; Mokhlis, Hazlie; Mohamad, Hasmaini; Illias, Hazlee Azil
• Is Part Of: IET generation, transmission & distribution. Volume 11:Issue 17(2017)
• Page Start: 4175
• Page End: 4183
• Publication Date: 2017-11-03
• Subjects: synchronous generators -- power distribution faults -- distributed power generation -- power distribution protection -- power system simulation -- reactive power; passive islanding detection technique -- synchronous generator -- passive parameter performance ranking -- distribution system protection -- distributed energy resource -- nonislanding event simulation -- islanding event simulation -- reactive power -- power supply network minute disturbance -- rate of change of frequency; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2016.0806
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Islanding detection is important for the protection of any distribution system supported by distributed energy resources. In this work, a number of islanding and non‐islanding events are simulated to prioritise 16 different passive parameters on the basis of performance analysis. Among the parameters tested, the rate of change of frequency over reactive power (d f /d q ) attains the highest accuracy and consequently, a new passive technique is proposed that employs d f /d q as discriminative feature. An extended study is carried out to further test the ability of the technique to differentiate the islanding from the non‐islanding events of similar signatures, such as load variation, capacitor switching, faults and induction motor starting. The simulation results confirm that the technique is proficient enough to identify islanding from non‐islanding events that cause minute disturbances in the power supply network.