Open AccessBand pass filter and AFVmean‐based unintentional islanding detection
Author(s) -
Murugesan Suman,
Murali Venkatakirthiga
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5314
Subject(s) - islanding , transient (computer programming) , matlab , filter (signal processing) , control theory (sociology) , disturbance (geology) , computer science , signal (programming language) , power (physics) , electronic engineering , voltage , safeguard , engineering , electric power system , electrical engineering , physics , control (management) , paleontology , quantum mechanics , artificial intelligence , law , political science , biology , programming language , operating system
Several international standards have suggested to detect the unintentional island formation to safeguard the working personnel and protect the electrical equipment in the system. An active islanding detection technique, which employs the q ‐axis current disturbance injection, has been utilised and an analysing technique is proposed in this work based on a combination of band pass filter and mean of absolute frequency variation (AFVmean) to detect and differentiate the island formation from other transient events. The proposed analysing technique (PAT) detects island formation within 180 ms, which is less than the prescribed time of various international standards, applicable to dynamic loading conditions without the need of adaptive threshold and communication, and offers zero non‐detection zone (NDZ). The disturbance injection makes significant variation in the frequency of voltage signal on post‐islanding condition even for zero‐power mismatch condition, therefore, the NDZ is zero. The PAT is corroborated for various islanding and non‐islanding events and the simulations are performed in MATLAB/Simulink tool.