Academic literature on the topic 'Line Outage Identification'

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Journal articles on the topic "Line Outage Identification"

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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Line Outage Identification"

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Kuraganti, Chetan Kumar. "Topics on Safety and Security of Power Systems." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5750.

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In this thesis, we investigate some of the problems concerning the safety and security of power systems. Since the operational safety of the power system itself is a vast area of research, we choose to investigate the problem of identifying transmission line outages in a power system due to their cascading nature and widespread blackouts they can cause. Therefore, it is important to identify such outages in the shortest time possible. With this motivation, we propose a state estimation-based sequential hypothesis testing procedure to localize the failed lines. The primary focus is on single-li
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Li, Wen-Tai, and 李文泰. "Study on Location Identification Method of Power Line Outages Using PMU Measurements for Power System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/d7u556.

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博士<br>國立中山大學<br>通訊工程研究所<br>106<br>Detecting and identifying power line outage events and locations quickly and accurately, which are providing the potential of preventing a large-scale blackout due to line outages as well as correct power network status for other monitoring and control tasks, e.g., state estimation and optimal power flow, are of paramount importance in the operation and maintenance of electric power systems.Recently, the widespread installation of phasor measurement units (PMUs) on transmission grids of most major power systems has attracted considerable attention for their po
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Book chapters on the topic "Line Outage Identification"

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Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, Anil Kumar, and Sumit Banerje. "A New AC Model for Transmission Line Outage Identification." In Advances in Systems, Control and Automations. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8685-9_21.

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He, Jia, Maggie X. Cheng, Yixin Fang, and Mariesa L. Crow. "A Machine Learning Approach for Line Outage Identification in Power Systems." In Machine Learning, Optimization, and Data Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13709-0_41.

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Tiwari, Sarveshmani, Hemant Palivela, and Pramod Kumar. "Classification and Identification of Partial Outage in Transmission Lines Using Deep Learning." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8248-3_13.

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Guo, Jingyuan, Tao Yang, Hui Feng, and Bo Hu. "Line outage identification based on partial measurement of Phasor Measurement Unit (PMU)." In Signal and Information Processing, Networking and Computers. CRC Press, 2016. http://dx.doi.org/10.1201/b21308-24.

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Francis, A. Allen. "Summation." In The Habits Of Legality Criminal Justice And The Rule Of Law. Oxford University PressNew York, NY, 1996. http://dx.doi.org/10.1093/oso/9780195100884.003.0004.

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Abstract The preceding discussion, encompassing a wide variety of contemporary and historical experience, rests on a series of underlying propositions. It proceeds, first, on the assumption that the rule-of-law concept is vital to the life and survival of liberal societies. Conceptual analysis, although essential to identification and resolution of critical issues, is insufficient to an understanding of the meanings and dimensions of the legality ideal in a functioning political society. To grasp the operational significance of the concept, we must look to the habitual behavior of public offic
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Conference papers on the topic "Line Outage Identification"

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Harley, Chris. "Selection of Erosion Resistant Materials in the Severe Environment of Coal Fired Power Plants." In AM-EPRI 2007, edited by R. Viswanathan, D. Gandy, and K. Coleman. ASM International, 2007. https://doi.org/10.31399/asm.cp.am-epri-2007p0884.

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Abstract Competitive pressures throughout the power generation market are forcing individual power plants to extend time between scheduled outages, and absolutely avoid costly forced outages. Coal fired power plant owners expect their engineering and maintenance teams to identify, predict and solve potential outage causing equipment failures and use the newest advanced technologies to resolve and evade these situations. In coal fired power plants, erosion not only leads to eventual failure, but during the life cycle of a component, affects the performance and efficiency due to the loss of engi
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Liao, Yizheng, Yang Weng, Chin-Woo Tan, and Ram Rajagopal. "Urban distribution grid line outage identification." In 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2016. http://dx.doi.org/10.1109/pmaps.2016.7764218.

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Jha, Vibhakar, Biswaranjan Mishra, and Shubham Kumar Vishwakarma. "Power Line Outage Identification Using PMU." In 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC). IEEE, 2022. http://dx.doi.org/10.1109/isssc56467.2022.10051400.

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He, Jia, and Maggie Cheng. "Graph Convolutional Neural Networks for Power Line Outage Identification." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413093.

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Zare, Javad, and Farrokh Aminifar. "Synchrophasor-assisted line outage identification: A simple and iterative algorithm." In 2015 23rd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2015. http://dx.doi.org/10.1109/iraniancee.2015.7146467.

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Rahim, M. N. A., I. Musirin, Z. A. Hamid, and N. A. M. Kamari. "BCO based technique for line outage identification in congestion management." In 2012 IEEE International Power Engineering and Optimization Conference. IEEE, 2012. http://dx.doi.org/10.1109/peoco.2012.6230896.

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Wang, Boyu, Chao Gan, Jing Yang, Chinmay Hedge, and Jingxian Wu. "Graph-based multiple-line outage identification in power transmission systems." In 2017 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2017. http://dx.doi.org/10.1109/pesgm.2017.8274462.

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Soleymani, Mohammad, and Amir Safdarian. "Unsupervised Learning for Distribution Grid Line Outage and Electricity Theft Identification." In 2019 Smart Grid Conference (SGC). IEEE, 2019. http://dx.doi.org/10.1109/sgc49328.2019.9056579.

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Dai, Zhen, and Joseph Euzebe Tate. "Line Outage Identification Based on AC Power Flow and Synchronized Measurements." In 2020 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2020. http://dx.doi.org/10.1109/pesgm41954.2020.9281410.

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Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, Anil Kumar, and Sumit Banerjee. "An Efficient Algorithm for Line Outage Identification in Smart Power Grid." In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE, 2020. http://dx.doi.org/10.1109/pesgre45664.2020.9070662.

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