2024 : 5 : 19
Mahyar Abasi

Mahyar Abasi

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0001-5228-6803
Education: PhD.
ScopusId: AAM-8891-2020
Faculty: Engineering
Address: Arak University
Phone: 08632625099


Fault classification and fault area detection in GUPFC-compensated double-circuit transmission lines based on the analysis of active and reactive powers measured by PMUs
GUPFC PMU Fault area detection Fault classification Locus of active and reactive powers Double-circuit transmission line
Journal Measurement
Researchers Mahyar Abasi ، Alireza Saffarian ، Mahmood Joorabian ، Seyyed Ghodratollah Seifossadat


The paper presents a fault area detection and classification algorithm in the phasor domain for double-circuit lines compensated by a generalized unified power flow controller (GUPFC). In the first step, by defining and using a voltage index, the algorithm determines the side of the GUPFC in which the fault has occurred. In the second step, by defining and employing a current index, the algorithm will be able to identify the circuit of the line on which the fault has happened. Finally, the fault is classified. In this step, the algorithm detects the faulty phase by analyzing the loci of three-phase active and reactive powers at the line terminal. The algorithm uses the current and voltage phasors of the line terminals measured by the phasor measurement units (PMUs) in one cycle before and during the fault. The GUPFC and the test system have been modeled in MATLAB/Simulink. The presented algorithm is tested and evaluated under different conditions including different fault types and fault resistances for all normal series and shunt fault types. The results obtained from simulations verify the accurate performance of the algorithm for various fault conditions