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Journal articles on the topic 'Line Outage Identification'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Chen, Yu Christine, Taposh Banerjee, Alejandro D. Dominguez-Garcia, and Venugopal V. Veeravalli. "Quickest Line Outage Detection and Identification." IEEE Transactions on Power Systems 31, no. 1 (2016): 749–58. http://dx.doi.org/10.1109/tpwrs.2015.2394246.

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2

Arabali, A., M. Majidi, M. S. Fadali, and M. Etezadi-Amoli. "Line outage identification-based state estimation in a power system with multiple line outages." Electric Power Systems Research 133 (April 2016): 79–86. http://dx.doi.org/10.1016/j.epsr.2015.12.013.

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3

Ding, Xue Yang, and Xin Dong Liu. "A Blackout Model Based on Optimal Risk Index and High-Risk Line Identification." Advanced Materials Research 383-390 (November 2011): 2390–97. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2390.

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This paper summarizes the defects of both OPA model and its improved models and then proposes a new model in order to simulate real power system roundly. There is an inner loop based on DC power flow optimization to minimize the change in generation or load shed and an outer loop based on the risk theory. In the outer loop, whether to improve the line capacity and how to improve are determined by risk index of line improvement (RILI) and line improvement degree function, respectively. A new prevention strategy against cascading failure is proposed by identifying the high-risk lines and determi

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4

Kundu, Shubhrajyoti, Sumit Banerjee, Siddhartha Sankar Thakur, and Mehebub Alam. "Line outage identification using comparison of bus power mismatch considering PMU outage." International Journal of Nanoparticles 12, no. 3 (2020): 238. http://dx.doi.org/10.1504/ijnp.2020.10031799.

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Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, and Sumit Banerjee. "Line outage identification using comparison of bus power mismatch considering PMU outage." International Journal of Nanoparticles 12, no. 3 (2020): 238. http://dx.doi.org/10.1504/ijnp.2020.109547.

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6

Amin Mohammed, Dara H. "Voltage Stability Analysis for Kurdistan Region Power System Using Fast Voltage Stability Index." Tikrit Journal of Engineering Sciences 21, no. 2 (2013): 75–79. http://dx.doi.org/10.25130/tjes.21.2.10.

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In any stressed power system, Identification of the weakest bus and transmission lines is veryimportant for planning and operation to prevent voltage collapse which leads to total blackout ofthe whole system. The aim of the paper is to use a technique to determine the weakest buses ofthe power system. Increasing load in power system could lead to the event of voltage collapsewhich implies the contingency in the system. Increasing load and line outage contingencies areranked so that the line which highly affects the system could be identified. This paper proposesto utilize an established index

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7

He, Jia, and Maggie X. Cheng. "Machine learning methods for power line outage identification." Electricity Journal 34, no. 1 (2021): 106885. http://dx.doi.org/10.1016/j.tej.2020.106885.

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8

Emami, Roozbeh, and Ali Abur. "External system line outage identification using phasor measurement units." IEEE Transactions on Power Systems 28, no. 2 (2013): 1035–40. http://dx.doi.org/10.1109/tpwrs.2012.2220865.

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9

Kim, Taedong, and Stephen J. Wright. "PMU Placement for Line Outage Identification via Multinomial Logistic Regression." IEEE Transactions on Smart Grid 9, no. 1 (2018): 122–31. http://dx.doi.org/10.1109/tsg.2016.2546339.

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10

Vijay, R. "Transmission Line Outage Detection and Identification by Communal Spider Optimization Algorithm." CVR Journal of Science & Technology 14, no. 01 (2018): 38–42. http://dx.doi.org/10.32377/cvrjst1408.

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11

Lotfifard, Saeed. "Sparse Sensing Platform for Line-Outage Identification in Multiarea Power Systems." IEEE Transactions on Industrial Informatics 13, no. 3 (2017): 947–55. http://dx.doi.org/10.1109/tii.2017.2679022.

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12

Babakmehr, Mohammad, Farnaz Harirchi, Ahmed Al-Durra, S. M. Muyeen, and Marcelo Godoy Simoes. "Compressive System Identification for Multiple Line Outage Detection in Smart Grids." IEEE Transactions on Industry Applications 55, no. 5 (2019): 4462–73. http://dx.doi.org/10.1109/tia.2019.2921260.

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13

Daram, Suresh Babu, Mulpuri Kiran, P. S. Venkataramu, and M. S. Nagaraj. "Identification of DG Location through Sensitivity Factors under Line Outage Condition." International Journal of Grid and Distributed Computing 10, no. 11 (2017): 23–32. http://dx.doi.org/10.14257/ijgdc.2017.10.11.03.

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14

Hosseini, Zohreh S., Mohsen Mahoor, and Amin Khodaei. "AMI-Enabled Distribution Network Line Outage Identification via Multi-Label SVM." IEEE Transactions on Smart Grid 9, no. 5 (2018): 5470–72. http://dx.doi.org/10.1109/tsg.2018.2849845.

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15

Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, and Sumit Banerjee. "PMU based line outage identification using comparison of current phasor measurement technique." International Journal of Electrical Power & Energy Systems 115 (February 2020): 105501. http://dx.doi.org/10.1016/j.ijepes.2019.105501.

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16

Arabali, Amirsaman, Mahmoud Ghofrani, and Mehdi Farasat. "A new multiple line outage identification formulation using a sparse vector recovery technique." Electric Power Systems Research 142 (January 2017): 237–48. http://dx.doi.org/10.1016/j.epsr.2016.10.006.

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17

Zhao, Yue, Jianshu Chen, and H. Vincent Poor. "A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification." IEEE Transactions on Smart Grid 11, no. 1 (2020): 555–64. http://dx.doi.org/10.1109/tsg.2019.2925405.

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18

Li, Xiongli, Fei Xiao, Youlin Hu, and Huikai Peng. "Research on Recognition of Topological Relations Between Residential Lines in Low Voltage Station Area Based on Correlation Analysis Algorithm and Probabilistic Decision Method." Journal of Nanoelectronics and Optoelectronics 16, no. 7 (2021): 1107–14. http://dx.doi.org/10.1166/jno.2021.3053.

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In order to solve the problems of low accuracy and incomprehensive recognition of the topological relationship between households in the station area and the incomplete recognition results in traditional methods, a method for identifying topological relationships between household changes in low-voltage stations based on correlation analysis algorithm and probabilistic decision method is proposed. The BIRCH method is used to cluster the topological relationship characteristics of the household line changes in the low-voltage station area, and the topological relationship characteristics are ob

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19

Li, Xiongli, Fei Xiao, Youlin Hu, and Huikai Peng. "Research on Recognition of Topological Relations Between Residential Lines in Low Voltage Station Area Based on Correlation Analysis Algorithm and Probabilistic Decision Method." Journal of Nanoelectronics and Optoelectronics 16, no. 7 (2021): 1107–14. http://dx.doi.org/10.1166/jno.2021.3053.

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In order to solve the problems of low accuracy and incomprehensive recognition of the topological relationship between households in the station area and the incomplete recognition results in traditional methods, a method for identifying topological relationships between household changes in low-voltage stations based on correlation analysis algorithm and probabilistic decision method is proposed. The BIRCH method is used to cluster the topological relationship characteristics of the household line changes in the low-voltage station area, and the topological relationship characteristics are ob

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20

Ahmed, A., Q. Khan, M. Naeem, M. Iqbal, A. Anpalagan, and M. Awais. "An insight to the performance of estimation of distribution algorithm for multiple line outage identification." Swarm and Evolutionary Computation 39 (April 2018): 114–22. http://dx.doi.org/10.1016/j.swevo.2017.09.006.

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21

Huang, Keke, Zili Xiang, Wenfeng Deng, Xiaoqi Tan, and Chunhua Yang. "Reweighted Compressed Sensing-Based Smart Grids Topology Reconstruction With Application to Identification of Power Line Outage." IEEE Systems Journal 14, no. 3 (2020): 4329–39. http://dx.doi.org/10.1109/jsyst.2019.2958869.

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22

Ogujor, E. A., E. U. Ubeku, and P. T. Aikhoje. "Application of Pareto Analysis to Faults Identification in Electrical Distribution Network: A Case Study of Ugbowo 11kV Feeder, Benin City, Nigeria." Advanced Materials Research 62-64 (February 2009): 75–81. http://dx.doi.org/10.4028/www.scientific.net/amr.62-64.75.

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Application of Pareto Analysis technique in major feeder pillar faults identification is presented in this paper. Power outage data due to feeder pillar faults were collected between January, 2005 and September, 2007 from Power Holding Company of Nigeria (PHCN), Ugbowo district office, Edo State, Nigeria for four feeder pillars. The data were processed and Pareto Analysis technique was applied to the field data. The results obtained shows that eliminating wrong fusing and overloading in Edaiken 2 and Holex feeder pillars will reduce faults by 77.42 and 79.53% respectively while eliminating wro

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23

Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, and Sumit Banerjee. "A new cost effective algorithm for online identification of line outage contingency using current phasor of PMU." Sustainable Energy, Grids and Networks 23 (September 2020): 100373. http://dx.doi.org/10.1016/j.segan.2020.100373.

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24

Gotman, N. E., and G. P. Shumilova. "Identification of line status changes using phasor measurements through deep learning networks." Power engineering: research, equipment, technology 22, no. 6 (2021): 55–67. http://dx.doi.org/10.30724/1998-9903-2020-22-6-55-67.

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THE PURPOSE. To consider the problem of detecting changes in a power grid topology that occurs as a result of the power line outage / turning on. Develop the algorithm for detecting changes in the status of transmission lines in real time by using voltage and current phasors captured by phasor measurement units (PMUs) are placed on buses. Carry out experimental research on IEEE 14-bus test system. METHODS. This paper proposes a method from the field of artificial intelligence such as machine learning in particular "Deep Learning" to solve the problem. Deep Learning arises as a computational le

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25

Ifeanyi, Chukwuagu M., Ogbu Gregory, and Chukwu Linus. "Contingency Evaluation of the Nigerian 330KV Transmission Grid Using Nuro-Fuzzy." American Journal of Multidisciplinary Research and Innovation 4, no. 4 (2025): 31–46. https://doi.org/10.54536/ajmri.v4i4.4822.

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The constant power failure in the transmission network that has put business activities in the country into jeopardy is surmounted by introducing contingency evaluation of the Nigerian 330kv transmission grid using NURO-FUZZY. To vividly achieve this, it is done in this manner, characterizing and establishing the contingencies that causes power failure in the Nigerian 330kv transmission grid, designing a rule base that will predict, identify and normalize the contingencies that will cause power failure in the Nigerian 330kv transmission grid for consistent power supply in the grid, training AN

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26

Mawle, Prashant P., Gunwant A. Dhomane, and Prakash G. Burade. "Application of artificial intelligence in early fault detection of transmission line-a case study in India." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 6 (2022): 5707. http://dx.doi.org/10.11591/ijece.v12i6.pp5707-5716.

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<span lang="EN-US">Reliable energy is ensured by the power quality, safety and security. For reliability and economic growth of transmission utilities, it is necessary to maintain continuity of supply, which is challenging under deregulated system. It is essential for utilities to conduct regular maintenance of transmission lines before supply interrupts. To protect line from fault, it is necessary to detect fault on line, its classification and location at the earliest. Various smart techniques along with application of artificial intelligence (AI) in power system are under investigatio

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27

Marín-Cano, Cristian Camilo, Juan Esteban Sierra-Aguilar, Jesús M. López-Lezama, Álvaro Jaramillo-Duque, and Walter M. Villa-Acevedo. "Implementation of User Cuts and Linear Sensitivity Factors to Improve the Computational Performance of the Security-Constrained Unit Commitment Problem." Energies 12, no. 7 (2019): 1399. http://dx.doi.org/10.3390/en12071399.

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Power system operators must schedule the available generation resources required to achieve an economical, reliable, and secure energy production in power systems. This is usually achieved by solving a security-constrained unit commitment (SCUC) problem. Through a SCUC the System Operator determines which generation units must be on and off-line over a time horizon of typically 24 h. The SCUC is a challenging problem that features high computational cost due to the amount and nature of the variables involved. This paper presents an alternative formulation to the SCUC problem aimed at reducing

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28

Zhuang, Guanqun, Weichen Wang, Dexin Li, Song Gao, and Changjiang Wang. "Research on identification method of weak links in transmission network considering strong wind in severe cold weather." Journal of Physics: Conference Series 2450, no. 1 (2023): 012042. http://dx.doi.org/10.1088/1742-6596/2450/1/012042.

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Abstract The ice disaster has brought many adverse effects on the power transmission system, which is mainly studied from the transmission line failure rate perspective. Strong winds often accompany the ice disaster weather, the motion path of wind is considered when identifying the weak location of transmission network system. According to the theory of meteorological simulation, and the mathematical relationship between the effective wind speed and the forced outage rates is obtained. A transient stability risks assessment method is proposed considering the ice disaster in the case of a stro

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29

Yu, Miao, Shouzhi Zhang, Fang Shi, et al. "Key Transmission Section Search Based on Graph Theory and PMU Data for Vulnerable Line Identification in Power System." Journal of Electrical and Computer Engineering 2023 (October 30, 2023): 1–14. http://dx.doi.org/10.1155/2023/8643537.

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Failure of vulnerable lines in the power system often results in tidal shifts, and triggering chain failures and their corresponding transmission sections are concentrated manifestations of the weak links in the power system. It is very important to identify the vulnerable lines and search the transmission section to prevent the chain faults as well as to analyze the stability of the power system. Aiming at the problems of inaccurate search of vulnerable lines, difficulties adapting to the complex and changing power system as well as wrong selection and omission of transmission section search

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30

Kawal, Kevin, Steven Blair, Qiteng Hong, and Panagiotis N. Papadopoulos. "Selective Auto-Reclosing of Mixed Circuits Based on Multi-Zone Differential Protection Principle and Distributed Sensing." Energies 16, no. 6 (2023): 2558. http://dx.doi.org/10.3390/en16062558.

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Environmental concerns and economic constraints have led to increasing installations of mixed conductor circuits comprising underground cables (UGCs) and overhead transmission lines (OHLs). Faults on the OHL sections of such circuits are usually temporary, while there is a higher probability that faults on UGC sections are permanent. To maintain power system reliability and security, auto-reclose (AR) schemes are typically implemented to minimize outage duration after temporary OHL faults while blocking AR for UGC faults to prevent equipment damage. AR of a hybrid UCG–OHL transmission line, th

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31

Azhar, Izzuddin Fathin, Lesnanto Multa Putranto, and Roni Irnawan. "Development of PMU-Based Transient Stability Detection Methods Using CNN-LSTM Considering Time Series Data Measurement." Energies 15, no. 21 (2022): 8241. http://dx.doi.org/10.3390/en15218241.

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The development of electric power systems has become more complex. Consequently, electric power systems are operating closer to their limits and are more susceptible to instability when a disturbance occurs. Transient stability problems are especially prevalent. In addition, the identification of transient stability is difficult to achieve in real time using the current measurement data. This research focuses on developing a convolutional neural network—long short-term memory (CNN-LSTM) model using historical data events to detect transient stability considering time-series measurement data. T

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32

Fu, Shijie, Greg E. Bridges, and Behzad Kordi. "RFID Sensor with Integrated Energy Harvesting for Wireless Measurement of dc Magnetic Fields." Sensors 25, no. 10 (2025): 3024. https://doi.org/10.3390/s25103024.

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High-voltage direct-current (HVdc) transmission lines are gaining more attention as an integral part of modern power system networks. Monitoring the dc current is important for metering and the development of dynamic line rating control schemes. However, this has been a challenging task, and there is a need for wireless sensing methods with high accuracy and a dynamic range. Conventional methods require direct contact with the high-voltage conductors and utilize bulky and complex equipment. In this paper, an ultra-high-frequency (UHF) radio frequency identification (RFID)-based sensor is intro

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33

Maraaba, Luqman, Khaled Al-Soufi, Twaha Ssennoga, Azhar M. Memon, Muhammed Y. Worku, and Luai M. Alhems. "Contamination Level Monitoring Techniques for High-Voltage Insulators: A Review." Energies 15, no. 20 (2022): 7656. http://dx.doi.org/10.3390/en15207656.

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Insulators are considered one of the most significant parts of power systems which can affect the overall performance of high-voltage (HV) transmission lines and substations. High-voltage (HV) insulators are critical for the successful operation of HV overhead transmission lines, and a failure in any insulator due to contamination can lead to flashover voltage, which will cause a power outage. However, the electrical performance of HV insulators is highly environment sensitive. The main cause of these flashovers in the industrial, agricultural, desert, and coastal areas, is the insulator conta

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34

Awais, M., A. Ahmed, M. Naeem, M. Iqbal, N. Qadri, and A. Anpalagan. "Multiple line outages identification: A customized quantum inspired approach." Electric Power Systems Research 134 (May 2016): 47–55. http://dx.doi.org/10.1016/j.epsr.2015.12.001.

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35

Zhu, Hao, and Georgios B. Giannakis. "Sparse Overcomplete Representations for Efficient Identification of Power Line Outages." IEEE Transactions on Power Systems 27, no. 4 (2012): 2215–24. http://dx.doi.org/10.1109/tpwrs.2012.2192142.

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36

Chen, Jung-Chieh, Wen-Tai Li, Chao-Kai Wen, Jen-Hao Teng, and Pangan Ting. "Efficient Identification Method for Power Line Outages in the Smart Power Grid." IEEE Transactions on Power Systems 29, no. 4 (2014): 1788–800. http://dx.doi.org/10.1109/tpwrs.2013.2296897.

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37

Li, Wen-Tai, Chao-Kai Wen, Jung-Chieh Chen, Kai-Kit Wong, Jen-Hao Teng, and Chau Yuen. "Location Identification of Power Line Outages Using PMU Measurements With Bad Data." IEEE Transactions on Power Systems 31, no. 5 (2016): 3624–35. http://dx.doi.org/10.1109/tpwrs.2015.2495214.

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38

Guler, T., and G. Gross. "Detection of Island Formation and Identification of Causal Factors Under Multiple Line Outages." IEEE Transactions on Power Systems 22, no. 2 (2007): 505–13. http://dx.doi.org/10.1109/tpwrs.2006.888985.

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39

Wu, Jie, Jinjun Xiong, and Yiyu Shi. "Efficient Location Identification of Multiple Line Outages With Limited PMUs in Smart Grids." IEEE Transactions on Power Systems 30, no. 4 (2015): 1659–68. http://dx.doi.org/10.1109/tpwrs.2014.2357751.

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40

Morales, John, and Marco Carpio. "Induced Lightning Stroke Identification on Protection Relays." Applied Mechanics and Materials 775 (July 2015): 368–72. http://dx.doi.org/10.4028/www.scientific.net/amm.775.368.

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It is well known that lightning strokes produce mal-operation of transmission line protection relays. Where, protection devices cannot identify correctly between lightning stroke that generates or not permanent faults. Thus, when a flash produces a permanent fault, the protection relay sends a trip order, and the Transmission Line (TL) is disconnected correctly. However, when a lightning stroke does not produce a permanent fault, the protection devices also send the trip order, and the TL is disconnected unnecessary. In this context, these phenomena can produce unnecessary electric power outag

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41

Xie, Dan, Qing Chen, Ye Sun, Ning Shao, Yuzhan Dong, and Wei Ding. "A Wide-Area Measurement System-Based Load Encroachment Identification Method Applicable to Power Systems with High Wind Power Penetration." Applied Sciences 13, no. 16 (2023): 9279. http://dx.doi.org/10.3390/app13169279.

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One of the main factors in triggering cascading outages is the unexpected tripping of backup protection caused by load encroachment (LE). Hence, LE should be identified quickly to avoid unexpected tripping. This paper proposes a fast LE identification method based on the wide-area measurement system (WAMS), applicable to transmission grids with high wind power penetration. Firstly, based on the improved shortest path algorithm, the method searches for critical lines greatly affected by the LE to determine the collected range of wide-area information. Then, by analyzing the hidden dangers of th

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42

Ren, Boyu. "Research on obstacle recognition method of transmission line in alpine region based on depth camera." Journal of Physics: Conference Series 2914, no. 1 (2024): 012019. https://doi.org/10.1088/1742-6596/2914/1/012019.

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Abstract Ice and snow on transmission lines in alpine areas lead to increased tower load and short circuits of transmission lines. Tower collapses and power outages caused by ice have a serious impact on factory production and people’s lives. With the development of robot technology, deicing robots have become an important research direction to solve the icing problem of transmission lines. The deicing robot mainly completes actions such as walking, obstacle crossing, and deicing on the transmission line. In the process of robot walking, accurate identification of obstacles on the transmission

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43

Nusantika, Nalini Rizkyta, Jin Xiao, and Xiaoguang Hu. "Precision Ice Detection on Power Transmission Lines: A Novel Approach with Multi-Scale Retinex and Advanced Morphological Edge Detection Monitoring." Journal of Imaging 10, no. 11 (2024): 287. http://dx.doi.org/10.3390/jimaging10110287.

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Line icings on the power transmission lines are dangerous risks that may lead to situations like structural damage or power outages. The current techniques used for identifying ice have certain drawbacks, particularly when used in complex environments. This paper aims to detect lines on the top and bottom in PTLI with low illumination and complex backgrounds. The proposed method integrates multistage image processing techniques, including image enhancement, filtering, thresholding, object isolation, edge detection, and line identification. A binocular camera is used to capture images of PTLI.

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44

Hemalatha, S., and P. Valsalal. "Identification of Optimal Path in Power System Network Using Bellman Ford Algorithm." Modelling and Simulation in Engineering 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/913485.

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Power system network can undergo outages during which there may be a partial or total blackout in the system. In that condition, transmission of power through the optimal path is an important problem in the process of reconfiguration of power system components. For a given set of generation, load pair, there could be many possible paths to transmit the power. The optimal path needs to consider the shortest path (minimum losses), capacity of the transmission line, voltage stability, priority of loads, and power balance between the generation and demand. In this paper, the Bellman Ford Algorithm

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45

Joshua, Nalima, Abubakar Abdulkarim, S. Palanikumar, Mohammed Dahiru Buhari, and G. V. Ramana. "Reliability Study of Electrical Distribution Network in Kampala East." KIU Journal of Science, Engineering and Technology 2, no. 1 (2023): 53–60. http://dx.doi.org/10.59568/kjset-2023-2-1-08.

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This research focuses on the reliability study of the electrical distribution network in Kampala East, which is connected to Lugogo, Nakawa, Kireka and Ntinda substations. The network is unable to supply its customers with reliable power at all times. Methods used in this research involve data identification, collection, cleaning, analyzing and interpretation. Also conducted are determination of reliability indices, identification of causes of supply interruptions and improvement of reliability. Depending on the reliability study outcome, the electrical distribution network in Kampala East has

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46

Ath-Thaariq, Bhakti, and Adi Mulyadi. "Transfer of Balak Load Break Switch Motorized (LBSM) Function to Recloser as Additional Protection at PT PLN (Persero) ULP Rogojampi." Blambangan Journal of Community Services (BJCS) 2, no. 1 (2024): 1–8. http://dx.doi.org/10.61666/bjcs.v2i1.42.

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Background: This field work practice requires that students be able to understand electricity systems in general, including generation, transmission, distribution, and load management processes Identification problems: Balak LBS transfer to Recloser improves delivery system reliability, efficiency, equipment life, and supply availability by enabling automatic disconnection and circuit recovery. Methods: Repairs to the LBSM system and replacement of feeders in Balak Village are urgently needed. Results: The results of the analysis of disturbances in the LBSM system in the 20kV SUTM distribution

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47

Mustafa, Ahmed A., and Ahmed AK Tahir. "Improving the Performance of Finger-Vein Recognition System Using A New Scheme of Modified Preprocessing Methods." Academic Journal of Nawroz University 9, no. 3 (2020): 397. http://dx.doi.org/10.25007/ajnu.v9n3a855.

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This paper aims at improving the performance of finger-vein recognition system using a new scheme of image preprocessing. The new scheme includes three major steps, RGB to Gray conversion, ROI extraction and alignment and ROI enhancement. ROI extraction and alignment includes four major steps. First, finger-vein boundaries are detected using two edge detection masks each of size (4 x 6). Second, the correction for finger rotation is done by calculating the finger base line from the midpoints between the upper and lower boundaries using least square method. Third, ROI is extracted by cropping a

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48

Tunde, Adejumo Wahid, Emmanuel M. Eronu, and Babawale B. Folajinmi. "Optimized ANN-Based Methodology for Fault Detection and Localization in Power Transmission Networks." Journal of Engineering Research and Reports 27, no. 1 (2025): 140–54. https://doi.org/10.9734/jerr/2025/v27i11374.

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Transmission lines are integral to transporting electrical power from generation sites to consumers. Transmission lines are subject to various faults that disrupt service and threaten system integrity. Fault analysis (identification, classification, and localization) is essential to minimize downtime and operational costs. Improved fault control raises grid dependability, decreases outages, and optimizes operations, promoting renewable integration and cost savings. It enhances safety, power quality, and resilience while facilitating innovative grid modernization and scalability for future dema

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Mohamad, Hasmaini, Wan Iqmal Faezy Wan Zalnidzham, Nur Ashida Salim, Shahrani Shahbudin, and Zuhaila Mat Yasin. "Power system restoration in distribution network using minimum spanning tree - Kruskal’s algorithm." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 1. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp1-8.

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<span>Events such as natural and manmade interference, line, transformer and feeder outages that occur in electric power distribution system negatively impact the continuity of power supply, thus affecting the power demand supply as well as customer’s satisfaction. In that cases, the restoration of power needs to be carried out immediately in order to guarantee the system’s reliability. The power flow path identification is considered as a difficult task especially in a huge system due to large number of switches. Kruskal’s algorithm is presented in this paper to find the minimum power f

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Nopendri, Nopendri, and Dewi Nasien. "Troubleshooting Generator Sets using Expert System." Journal of Applied Business and Technology 1, no. 2 (2020): 112–26. http://dx.doi.org/10.35145/jabt.v1i2.36.

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PT. Zaman Teknindo (PT. ZT) is a company engaged in Mechanical and Engineering field which is registered as one PT. Telkomsel vendors. The problems that occur at PT. ZT, if the power outage and generator set (generator) does not start automatically. The corrective team on duty at that time will go to the field and find a solution to the problem. With a lack of knowledge from the corrective team, they need help from the mechanical team. The mechanical team is an external team of PT. ZT. To bring a mechanical team requires an enormous cost and a relatively long time needed to get to the location

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