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• Novel fault classification algorithm (FCA) for GUPFC-compensated transmission lines. • FCA is based on the loci of active and reactive powers calculated using PMU signals. • Presenting faulty area and faulty circuit detection algorithms using new indices. • The proposed method is robust and independent of the operating modes of the GUPFC. • Easily applicable in regular fault locators available in the protection industry. 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. [ABSTRACT FROM AUTHOR]

• Presenting a single end-based fault location method for hybrid parallel HVAC/HVDC overhead transmission lines (HPOTL). • Accurate modeling of HPOTL considering electromagnetic coupling between AC and DC lines. • Low sampling frequency and high accuracy in fault location estimation. • Determining the faulty half of transmission line using a robust method. • The proposed method is robust and independent of fault resistance, noise and fault angle. In this paper, a single ended traveling wave based fault location method is presented for Hybrid Parallel HVAC/HVDC Overhead Transmission Lines (HPOTLs) on the same tower using Discrete Wavelet Transform (DWT). In HPOTLs, the AC and DC transmission lines are adjacent to each other from the sending to the receiving end of the lines and there is electromagnetic coupling between them. Fault detection and classification algorithms in HPOTLs are presented in another paper. Therefore, in order to summarizing, in this paper, it is assumed that the fault is detected in the HVAC or/and HVDC lines and faulty line is identified. HPOTL faults include AC faults, DC faults and AC/DC intersystem faults. AC and DC voltage signals on sending end of the transmission line with a sampling frequency of 100 kHz are used for fault location in this paper. In order to minimize the noise effect, the squared wavelet transform coefficients (WTC2) is used for proposed fault location method. Finally, Bewley-Lattice diagrams are checked for the traveling wave pattern and locate the fault. At the end of paper, it has been shown that the proposed method has high accuracy, noise immunity, robustness against fault inception angles, and high impedance faults. [ABSTRACT FROM AUTHOR]