پیوندهای مفید
آمار
| تعداد نشریات | 7 |
| تعداد شماره‌ها | 399 |
| تعداد مقالات | 5,389 |
| تعداد مشاهده مقاله | 5,288,037 |
| تعداد دریافت فایل اصل مقاله | 4,882,775 |
A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 4، دوره 55، شماره 1، 2023، صفحه 31-46 اصل مقاله (1.63 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2022.21498.5477 | ||
| نویسندگان | ||
| Mohammad Parpaei1؛ Hossein Askarian-Abyaneh* 1؛ Farzad Razavi2 | ||
| 1Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 2Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran | ||
| چکیده | ||
| Double-circuit power systems are one of the main types of modern transmission lines due to their reliability. Fault location in these transmission lines has always been a potential problem due to the mutual coupling between lines. Accordingly, this paper presents a novel objective function for the fault location using synchronous post-fault measurements of currents and voltages captured by distance protective relays. Moreover, a fast and accurate modern metaheuristic optimization algorithm for this cost function is proposed, which are key parameters to estimate the fault location methods based on optimization algorithms. In this regard, first, the input data (current and voltage signals) were refined using some auxiliary functions such as Fast Fourier transformation (FFT), Decaying Dc Elimination (DDE), and frequency tracking algorithm to accurately extract the fundamental component of the voltage and current signals. Afterwards, the proposed fault location based on the proposed metaheuristic optimization algorithm estimates the fault location using these input signals. The main advantage of the presented algorithm is the parallel estimation processing to improve the convergence speed and the accuracy of the objective function of the fault location, and was applied to various fault types and various operating conditions to validate the performance of the proposed approach. In addition, the performance of the proposed method was compared with different fault location methods. The simulation was implemented in the PSCAD and MATLAB® software. The simulation results show that the novel proposed approach outperforms other fault locations in estimating the fault location. | ||
| کلیدواژه‌ها | ||
| Fault location؛ power system؛ transmission line fault location؛ optimization algorithm؛ distance protective relays | ||
| مراجع | ||
|
[1] N. Ghaffarzadeh, M. Parpaei, and M. Z. Tayar, “A fast fault location method based on detecting the minimum number of Phasor Measurement Units using a novel adaptive binary differential evolution optimization algorithm,” International Transactions on Electrical Energy Systems, vol. 25, no. 11, pp. 2933-2947, 2015.
[2] B. Wang, X. Dong, L. Lan, and F. Xu, “Novel location algorithm for single-line-to-ground faults in transmission line with distributed parameters,” IET Generation, Transmission & Distribution, vol. 7, no. 6, pp. 560-566, 2013.
[3] W. Threevithayanon and N. Hoonchareon, “Accurate one‐terminal fault location algorithm based on the principle of short‐circuit calculation,” IEEJ transactions on electrical and electronic engineering, vol. 8, no. 1, pp. 28-32, 2013.
[4] Z. M. Radojevic and J.-R. Shin, “New one terminal digital algorithm for adaptive reclosing and fault distance calculation on transmission lines,” IEEE Transactions on Power Delivery, vol. 21, no. 3, pp. 1231-1237, 2006.
[5] S. M. Brahma and A. A. Girgis, “Fault location on a transmission line using synchronized voltage measurements,” IEEE Transactions on power Delivery, vol. 19, no. 4, pp. 1619-1622, 2004.
[6] C. Lee, J. Park, J. Shin, and Z. Radojevie, “A new two-terminal numerical algorithm for fault location, distance protection, and arcing fault recognition,” IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1460- 1462, 2006.
[7] M. Parpaei, N. Ghaffarzadeh, and M. Z. Tayar, “Rational random walk‐based optimal placement of Phasor Measurement Units to enhance the initializing and guiding the optimization processes,” International Transactions on Electrical Energy Systems, vol. 27, no. 7, p. e2323, 2017.
[8] V. K. Gaur and B. Bhalja, “New fault detection and localisation technique for double-circuit three-terminal transmission line,” IET Generation, Transmission & Distribution, vol. 12, no. 8, pp. 1687-1696, 2018.
[9] C.-S. Yu, L.-R. Chang, and J.-R. Cho, “New fault impedance computations for unsynchronized two[1]terminal fault-location computations,” IEEE transactions on power delivery, vol. 26, no. 4, pp. 2879-2881, 2011.
[10] S. Hussain and A. Osman, “Fault location scheme for multi-terminal transmission lines using unsynchronized measurements,” International Journal of Electrical Power & Energy Systems, vol. 78, pp. 277-284, 2016.
[11] M. A. Elsadd and A. Y. Abdelaziz, “Unsynchronized fault-location technique for two-and three-terminal transmission lines,” Electric Power Systems Research, vol. 158, pp. 228-239, 2018.
[12] P. Gale, P. Taylor, P. Naidoo, C. Hitchin, and D. Clowes, “Travelling wave fault locator experience on Eskom’s transmission network,” 2001.
[13] P. McLaren and S. Rajendra, “Travelling-wave techniques applied to the protection of teed circuits:- multi-phase/multi-circuit sytstem,” IEEE Transactions on Power Apparatus and Systems, no. 12, pp. 3551-3557, 1985.
[14] C. Y. Evrenosoglu and A. Abur, “Travelling wave based fault location for teed circuits,” IEEE Transactions on Power Delivery, vol. 20, no. 2, pp. 1115-1121, 2005.
[15] A. Sharafi, M. Sanaye-Pasand, and P. Jafarian, “Ultra[1]high-speed protection of parallel transmission lines using current travelling waves,” IET Generation, Transmission & Distribution, vol. 5, no. 6, pp. 656-666, 2011.
[16] R. Benato, S. D. Sessa, M. Poli, C. Quaciari, and G. Rinzo, “An online travelling wave fault location method for unearthed-operated high-voltage overhead line grids,” IEEE Transactions on Power Delivery, vol. 33, no. 6, pp. 2776-2785, 2018.
[17] F. Xu and X. Dong, “A novel single-ended traveling wave fault location method based on reflected wave-head of adjacent bus,” 2014.
[18] Z. Li, Y. Cheng, X. Wang, Z. Li, and H. Weng, “Study on wide‐area traveling wave fault line selection and fault location algorithm,” International Transactions on Electrical Energy Systems, vol. 28, no. 12, p. e2632, 2018.
[19] Y. Liao and N. Kang, “Fault-location algorithms without utilizing line parameters based on the distributed parameter line model,” IEEE Transactions on Power Delivery, vol. 24, no. 2, pp. 579-584, 2009.
[20] Y. Liao and M. Kezunovic, “Optimal estimate of transmission line fault location considering measurement errors,” IEEE Transactions on Power Delivery, vol. 22, no. 3, pp. 1335-1341, 2007.
[21] B. Taheri, S. Salehimehr, and M. Sedighizadeh, “A fault‐location algorithm for parallel line based on the long short‐term memory model using the distributed parameter line model,” International Transactions on Electrical Energy Systems, vol. 31, no. 11, p. e13032, 2021.
[22] B. Taheri, S. Salehimehr, and M. Sedighizadeh, “A novel strategy for fault location in shunt-compensated double circuit transmission lines equipped by wind farms based on long short-term memory,” Cleaner Engineering and Technology, p. 100406, 2022.
[23] A. H. Gandomi, X.-S. Yang, S. Talatahari, and S. Deb, “Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization,” Computers & Mathematics with Applications, vol. 63, no. 1, pp. 191-200, 2012.
[24] R. Rajabioun, “ Cuckoo Optimization Algorithm,” Applied soft computing, vol. 11, no. 8, pp. 5508-5518, 2011.
[25] M. Dosaranian-Moghadam and Z. Amo-Rahimi, “Energy Efficiency and Reliability in Underwater Wireless Sensor Networks Using Cuckoo Optimizer Algorithm,” AUT Journal of Electrical Engineering, vol. 50, no. 1, pp. 93- 100, 2018, doi: 10.22060/eej.2018.13347.5154.
[26] R. N. Mantegna and H. E. Stanley, “Stochastic process with ultraslow convergence to a Gaussian: the truncated Lévy flight,” Physical Review Letters, vol. 73, no. 22, p. 2946, 1994.
[27] H. Rezagholizadeh and D. Gharavian, “A Thinning Method of Linear And Planar Array Antennas To Reduce SLL of Radiation Pattern By GWO And ICA Algorithms,” AUT Journal of Electrical Engineering, vol. 50, no. 2, pp. 135-140, 2018, doi: 10.22060/eej.2018.13697.5182.
[28] B. Farhadi, S. H. Shahalami, and E. Fallah Choolabi, “Optimal Design of Single-Phase Induction Motor Using MPSO and FEM,” AUT Journal of Electrical Engineering, vol. 46, no. 1, pp. 1-9, 2014, doi: 10.22060/ eej.2014.435.
[29] M.-S. Choi, S.-J. Lee, D.-S. Lee, and B.-G. Jin, “A new fault location algorithm using direct circuit analysis for distribution systems,” IEEE transactions on power delivery, vol. 19, no. 1, pp. 35-41, 2004.
[30] R. Salim, K. Salim, and A. Bretas, “Further improvements on impedance-based fault location for power distribution systems,” IET Generation, Transmission & Distribution, vol. 5, no. 4, pp. 467-478, 2011.
[31] R. H. Salim, M. Resener, A. D. Filomena, K. R. C. De Oliveira, and A. S. Bretas, “Extended fault-location formulation for power distribution systems,” IEEE transactions on power delivery, vol. 24, no. 2, pp. 508- 516, 2009.
[32] A. H. Gandomi and A. H. Alavi, “Krill herd: a new bio-inspired optimization algorithm,” Communications in nonlinear science and numerical simulation, vol. 17, no. 12, pp. 4831-4845, 2012.
[33] R. Azizipanah-Abarghooee, “A new hybrid bacterial foraging and simplified swarm optimization algorithm for practical optimal dynamic load dispatch,” International Journal of Electrical Power & Energy Systems, vol. 49, pp. 414-429, 2013.
[34] S. S. K. Madahi, H. A. Abyaneh, C. A. Nucci, and M. Parpaei, “A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions,” International Journal of Electrical Power & Energy Systems, vol. 142, p. 108276, 2022.
[35] M. Parpaei, H. A. Abyaneh, and F. Razavi, “An innovative method to eliminate multiple exponentially decaying DC components based on the discrete Fourier transform in the numerical distance relay,” IET Generation, Transmission & Distribution, 2022.
[36] F. Fallahi and P. Naderi, “Analyzing the internal resonances and energy exchange between modes of power system considering Frequency – Energy dependence using Pseudo-Arclength and shooting algorithm,” AUT Journal of Electrical Engineering, vol. 52, no. 1, pp. 53- 62, 2020, doi: 10.22060/eej.2020.17351.5310. | ||
|
آمار تعداد مشاهده مقاله: 410 تعداد دریافت فایل اصل مقاله: 297 |
||