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A New Whale Optimization Algorithm Based Fault Location Method by Focusing on Dispersed Model of the Transmission Line | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 1، دوره 3، شماره 4، آذر 2020، صفحه 393-406 اصل مقاله (2.44 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2020.32027.1218 | ||
| نویسندگان | ||
| Navid Ghaffarzadeh* 1؛ Hossein Faramarzi2 | ||
| 1Imam Khomeini International University | ||
| 2imam khomeini international university | ||
| چکیده | ||
| In this paper, a fault location approach is presented by using Whale Optimization Algorithm (WOA) strategy in two terminal transmission feeder. Also, Grey wolf Optimization (GWO) method is discussed. From both ends, affording the preparatory data for proposed strategies voltages and currents from both ends are measured. Several types of faults and simulations are considered in this paper and the objective function identifies the fault location with a high accuracy, correctness in a short time. Meanwhile, based on distributed model the line, the fault location is defined and since the optimization algorithm do not utilize compressed model of the line, the accuracy of the calculation is high. WOA based optimization method results in a notable reduction in the computational time. Accurate and timely location of the source of the fault greatly facilitates the job of the repair crew. This is the benefit of the proposed technique. Almost in all the cases, the accuracy of proposed procedure is very high and the error is kept below 1%. | ||
| کلیدواژهها | ||
| Bergeron model in time domain؛ Dispersed model of the line؛ Fault location technique؛ Grey wolf optimization algorithm؛ Whale optimization algorithm | ||
| مراجع | ||
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[1] M.Ghiafeh Davoudi., & J. Sadeh,” Time Domain Fault Location on Transmission Lines Using Genetic Algorithm”. 11th International Conference on Environment and Electrical Engineering, May, 2012. [2] M.Kezunovic. ,& J. Mrkic,”An accurate fault location algorithm using synchronized sampling”.Electric Power Systems Research, 161-169, 1993. [3] J. Sadeh,“Accurate fault location algorithm for transmission line in the presence of series connected FACTS devices”. Electrical Power and Energy Systems, 323–328, 2009. [4] M.Ghazizadeh,” Two-terminal AF location scheme for multi-segment combined transmission lines using unsynchronized measurements” Electrical Power and Energy Systems, 104 101–109, 2019. [5] Ou Junzhang, & Z. Zhonghui,”The Research of Fault Location of Transmission Line Based on Bergeron Model”, 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), August, 2010. [6] A.S. Ahmed., & M. A. Attia,” Modern optimization algorithms for fault location estimation in power systems”. Engineering Science and Technology, an International Journal, 20, 1475–1485,2017. [7] Omar A. S. Youssef,” Fault classification based on wavelet transforms”. Transmission and Distribution" Conference and Exposition, November,2001 [8] A.Salehi Dobakhshari,” Fast accurate fault location on transmission system utilizing wide-area unsynchronized measurements”. Electrical Power and Energy Systems, 234–242, 2018. [9] Gabriel Pino,” Fault location in transmission line using time domain equations”, M.S. Thesis, Sao Paulo University, 2018. [10] Maja Knezev, & Dipl.Ing,”Optimal Fault Location”,M.S. Thesis, Texas A&M University,2007. [11] Farhad Soleimanian., & Gharehchopogh,”A comprehensive survey: Whale Optimization Algorithm and its applications”,Swarm and Evolutionary Computation BASE DATA, S2210-6502(18)30935-0, 2019. [12] Ashraf Darwish,” Bio-Inspired Computing: Algorithms Review, Deep Analysis, and the Scope of Applications”, Future Computing and Informatics Journal, S2314-7288(18)30063-1, 2018. [13] Xiaofei Wang., & Hui Zhao,” A grey wolf optimizer using Gaussian estimation of distribution and its application in the multi-UAV multi-target urban tracking problem”,Applied Soft Computing Journal, S1568-4946(19)30101-2, 2019. [14] M.Mirzaei., & M.Z.A.AbKadi,” Review of Fault Location Meth od s for Distribution Power System”, Australian Journal of Basic and Applied Sciences, 3(3), 2670-2676,2009. [15] A. Bahmanyar., & S. Jamali,” A comparison framework for distribution system outage and fault location methods”, Electric Power Systems Research, 145,19–34,2017 [16] Avagaddi Prasad., & J. Belwin Edward,”A Review on Fault Classification Methodologies in Power Transmission Systems”,Journal of electrical systems and information technology, S2314-7172(17)30006-5,2017. [17] Alireza Siadatan, & Narges Fatahi, & Mahsa Sedaghat, ”Optimum Designed Multilayer Switched Reluctance Motors for use in Electric Vehicles to Increase Efficiency”, International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2018. [18] H. Torkaman & M. Fakhari & H. Karimi & B. Taheri, ” New Frequency Modulation Strategy with SHE for H-bridge Multilevel Inverters”, 4th International Conference on Electrical Energy Systems (ICEES), 2018. [19] Shokoufeh Sharifi & Mahsa Sedaghat & etc, ” Environmental economic dispatch using improved artificial bee colony algorithm”, Evolving Systems, 8, pages233–242, 2017. | ||
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