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

被引:18
作者
Abasi, Mahyar [1 ]
Saffarian, Alireza [1 ]
Joorabian, Mahmood [1 ]
Seifossadat, Seyyed Ghodratollah [1 ]
机构
[1] Shahid Chamran Univ Ahvaz, Dept Elect Engn, Fac Engn, Ahvaz 6135785311, Iran
关键词
GUPFC; PMU; Fault area detection; Fault classification; Locus of active and reactive powers; Double-circuit transmission line; FLOW CONTROLLER GUPFC; LOCATION; WAVELET; IDENTIFICATION; STABILITY; SCHEME;
D O I
10.1016/j.measurement.2020.108499
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:23
相关论文
共 59 条
[1]  
Abasi M., 2020, INT J IND ELECT CONT, V3, P447
[2]   Accurate simulation and modeling of the control system and the power electronics of a 72-pulse VSC-based generalized unified power flow controller (GUPFC) [J].
Abasi, Mahyar ;
Joorabian, Mahmood ;
Saffarian, Alireza ;
Seifossadat, Seyyed Ghodratollah .
ELECTRICAL ENGINEERING, 2020, 102 (03) :1795-1819
[3]   Compensation of the Current-Transformer Saturation Effects for Digital Relays [J].
Ajaei, Firouz Badrkhani ;
Sanaye-Pasand, Majid ;
Davarpanah, Mahdi ;
Rezaei-Zare, Afshin ;
Iravani, Reza .
IEEE TRANSACTIONS ON POWER DELIVERY, 2011, 26 (04) :2531-2540
[4]   ICA feature extraction for the location and classification of faults in high-voltage transmission lines [J].
Almeida, A. R. ;
Almeida, O. M. ;
Junior, B. F. S. ;
Barreto, L. H. S. C. ;
Barros, A. K. .
ELECTRIC POWER SYSTEMS RESEARCH, 2017, 148 :254-263
[5]  
[Anonymous], 2011, IEEE Standard C37.118.1a- 2014 (Amendment to IEEE Standard C37.118.1-2011), P1, DOI DOI 10.1109/IEEESTD.2011.6111219
[6]   Fault classification in power systems using EMD and SVM [J].
Babu, N. Ramesh ;
Mohan, B. Jagan .
AIN SHAMS ENGINEERING JOURNAL, 2017, 8 (02) :103-111
[7]  
BHARGAV YV, 2014, INT J ELEC POWER, V55, P321
[8]   Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder [J].
Chen, Kunjin ;
Hu, Jun ;
He, Jinliang .
IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (03) :1748-1758
[9]   Fault classification and section identification of an advanced series-compensated transmission line using support vector machine [J].
Dash, P. K. ;
Samantaray, S. R. ;
Panda, Ganapati .
IEEE TRANSACTIONS ON POWER DELIVERY, 2007, 22 (01) :67-73
[10]   Application of artificial intelligence techniques for classification and location of faults on thyristor-controlled series-compensated line [J].
Dash, PK ;
Pradhan, AK ;
Panda, G .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2003, 31 (03) :241-260