Modern optimization algorithms for fault location estimation in power systems

Abstract This paper presents a fault location estimation approach in two terminal transmission lines using Teaching Learning Based Optimization (TLBO) technique, and Harmony Search (HS) technique. Also, previous methods were discussed such as Genetic Algorithm (GA), Artificial Bee Colony (ABC), Artificial neural networks (ANN) and Cause & effect (C&E) with discussing advantages and disadvantages of all methods. Initial data for proposed techniques are post-fault measured voltages and currents from both ends, along with line parameters as initial inputs as well. This paper deals with several types of faults, L-L-L, L-L-L-G, L-L-G and L-G. Simulation of the model was performed on SIMULINK by extracting initial inputs from SIMULINK to MATLAB, where the objective function specifies the fault location with a very high accuracy, precision and within a very short time. Future works are discussed showing the benefit behind using the Differential Learning TLBO (DLTLBO) was discussed as well.

[1]  Vahid Vahidinasab,et al.  A modified harmony search method for environmental/economic load dispatch of real-world power systems , 2014 .

[2]  J. Sadeh,et al.  Accurate Single-Phase Fault-Location Method for Transmission Lines Based on K-Nearest Neighbor Algorithm Using One-End Voltage , 2012, IEEE Transactions on Power Delivery.

[3]  Adly A. Girgis,et al.  A Hybrid Expert System for Faulted Section Identification, Fault Type Classification and Selection of Fault Location Algorithms , 1989, IEEE Power Engineering Review.

[4]  R. Feuillet,et al.  Accurate fault location algorithm for power transmission lines , 2007 .

[5]  Javad Sadeh,et al.  Time domain fault location on transmission lines using genetic algorithm , 2012, 2012 11th International Conference on Environment and Electrical Engineering.

[6]  Yuan Liao,et al.  Optimal Estimate of Transmission Line Fault Location Considering Measurement Errors , 2007, IEEE Transactions on Power Delivery.

[7]  Murari Mohan Saha,et al.  An Accurate Fault Locator with Compensation for Apparent Reactance in the Fault Resistance Resulting from Remote-End Infeed , 1985, IEEE Power Engineering Review.

[8]  Damir Novosel,et al.  Unsynchronized two-terminal fault location estimation , 1996 .

[9]  Arvinder Kaur,et al.  A Bee Colony Optimization Algorithm for Fault Coverage Based Regression Test Suite Prioritization , 2011 .

[10]  Eugeniusz Rosolowski,et al.  Fault Location on Power Networks , 2009 .

[11]  S. Elangovan,et al.  Unsynchronised two-terminal transmission-line fault-location without using line parameters , 2006 .

[12]  Wen-Hui Chen,et al.  Fault Section Estimation for Power Networks Using Logic Cause-Effect Models , 2011, IEEE Transactions on Power Delivery.

[13]  J. Izykowski,et al.  Accurate location of faults on power transmission lines with use of two-end unsynchronized measurements , 2006, IEEE Transactions on Power Delivery.

[14]  B. Kulicke,et al.  Neural network approach to fault classification for high speed protective relaying , 1995 .

[15]  K. M. El-Naggar.  A genetic based fault location algorithm for transmission lines , 2001 .

[16]  A. O. Ibe,et al.  A Traveling Wave-Based Fault Locator for Two-and Three-Terminal Networks , 1986, IEEE Power Engineering Review.

[17]  Mladen Kezunovic,et al.  Locating faults in the transmission network using sparse field measurements, simulation data and genetic algorithm , 2004 .

[18]  A. J. Mazon,et al.  Field programmable gate array implementation of a fault location system in transmission lines based on artificial neural networks , 2011 .

[19]  Yuan Liao.  Transmission Line Fault Location Algorithms Without Requiring Line Parameters , 2008 .

[20]  S. N. Sivanandam,et al.  Introduction to genetic algorithms , 2007 .

[21]  A.L. Dalcastagne,et al.  A study about the sources of error of impedance-based fault location methods , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America.

[22]  Suhaas Bhargava Ayyagari.  ARTIFICIAL NEURAL NETWORK BASED FAULT LOCATION FOR TRANSMISSION LINES , 2011 .

[23]  Hermann W. Dommel,et al.  Digital Computer Solution of Electromagnetic Transients in Single-and Multiphase Networks , 1969 .

[24]  Xu Liang,et al.  Application of Improved Harmony Search Algorithm in Test Case Selection , 2014, J. Softw..

[25]  C. W. Liu,et al.  Fast Fault Section Estimation in Distribution Substations Using Matrix-Based Cause-Effect Networks , 2001, IEEE Power Engineering Review.

[26]  A. T. Johns,et al.  Accurate fault location technique for power transmission lines , 1990 .