Literatura académica sobre el tema "Line Outage Identification"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Line Outage Identification".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Line Outage Identification"
Chen, Yu Christine, Taposh Banerjee, Alejandro D. Dominguez-Garcia y Venugopal V. Veeravalli. "Quickest Line Outage Detection and Identification". IEEE Transactions on Power Systems 31, n.º 1 (enero de 2016): 749–58. http://dx.doi.org/10.1109/tpwrs.2015.2394246.
Texto completoArabali, A., M. Majidi, M. S. Fadali y M. Etezadi-Amoli. "Line outage identification-based state estimation in a power system with multiple line outages". Electric Power Systems Research 133 (abril de 2016): 79–86. http://dx.doi.org/10.1016/j.epsr.2015.12.013.
Texto completoKundu, Shubhrajyoti, Sumit Banerjee, Siddhartha Sankar Thakur y Mehebub Alam. "Line outage identification using comparison of bus power mismatch considering PMU outage". International Journal of Nanoparticles 12, n.º 3 (2020): 238. http://dx.doi.org/10.1504/ijnp.2020.10031799.
Texto completoAlam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur y Sumit Banerjee. "Line outage identification using comparison of bus power mismatch considering PMU outage". International Journal of Nanoparticles 12, n.º 3 (2020): 238. http://dx.doi.org/10.1504/ijnp.2020.109547.
Texto completoDing, Xue Yang y Xin Dong Liu. "A Blackout Model Based on Optimal Risk Index and High-Risk Line Identification". Advanced Materials Research 383-390 (noviembre de 2011): 2390–97. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2390.
Texto completoAmin Mohammed, Dara H. "Voltage Stability Analysis for Kurdistan Region Power System Using Fast Voltage Stability Index". Tikrit Journal of Engineering Sciences 21, n.º 2 (18 de septiembre de 2013): 75–79. http://dx.doi.org/10.25130/tjes.21.2.10.
Texto completoHe, Jia y Maggie X. Cheng. "Machine learning methods for power line outage identification". Electricity Journal 34, n.º 1 (enero de 2021): 106885. http://dx.doi.org/10.1016/j.tej.2020.106885.
Texto completoEmami, Roozbeh y Ali Abur. "External system line outage identification using phasor measurement units". IEEE Transactions on Power Systems 28, n.º 2 (mayo de 2013): 1035–40. http://dx.doi.org/10.1109/tpwrs.2012.2220865.
Texto completoKim, Taedong y Stephen J. Wright. "PMU Placement for Line Outage Identification via Multinomial Logistic Regression". IEEE Transactions on Smart Grid 9, n.º 1 (enero de 2018): 122–31. http://dx.doi.org/10.1109/tsg.2016.2546339.
Texto completoVijay, R. "Transmission Line Outage Detection and Identification by Communal Spider Optimization Algorithm". CVR Journal of Science & Technology 14, n.º 01 (1 de junio de 2018): 38–42. http://dx.doi.org/10.32377/cvrjst1408.
Texto completoTesis sobre el tema "Line Outage Identification"
Li, Wen-Tai y 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.
Texto completo國立中山大學
通訊工程研究所
106
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 potential to improve the reliability of power transmission.With the obtainment of wide-scale, real-time PMU data, the use of phasor angle measurements provided by PMUs in identifying locations of power line outages is regarded as a promising method, and thus a surge of interest in exploring applications with utilizing PMUs in line outages identification has been evident. The aim of this paper is to develop novel identification methods of power line outages with PMU measurements. Owing to the problem of power line outage identification has traditionally been formulated as a combinatorial optimization problem, the optimal solution of which can be found through an exhaustive search. However, the size of the search space grows exponentially with the number of outages and may thus pose a potential problem for the practical implementation of an exhaustive search, especially when multiple power line outages are considered in a power system. Hence, we propose a novel global stochastic optimization technique based on cross-entropy optimization to correctly and promptly identify multiple line outages. Then, we consider the cases of phasor angle measurements with bad data due to that communication errors or system malfunctions may introduce errors to the measurements and thus yield bad data. Most of the existing methods on line outage identification fail to consider such error. Hence, this paper further investigates the impact of identifying line outage using PMU measurements with bad data, and then develops a framework for identifying multiple power line outages based on the PMUs'' measurements in the presence of bad data. In particular, we design an algorithm to identify locations of line outage and recover the faulty measurements simultaneously. To validate the effectiveness and efficiency of the proposed approaches, case studies are carried on IEEE standard test systems.
Capítulos de libros sobre el tema "Line Outage Identification"
Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, Anil Kumar y Sumit Banerje. "A New AC Model for Transmission Line Outage Identification". En Advances in Systems, Control and Automations, 223–36. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8685-9_21.
Texto completoHe, Jia, Maggie X. Cheng, Yixin Fang y Mariesa L. Crow. "A Machine Learning Approach for Line Outage Identification in Power Systems". En Machine Learning, Optimization, and Data Science, 482–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13709-0_41.
Texto completoTiwari, Sarveshmani, Hemant Palivela y Pramod Kumar. "Classification and Identification of Partial Outage in Transmission Lines Using Deep Learning". En Lecture Notes in Electrical Engineering, 155–67. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8248-3_13.
Texto completoGuo, Jingyuan, Tao Yang, Hui Feng y Bo Hu. "Line outage identification based on partial measurement of Phasor Measurement Unit (PMU)". En Signal and Information Processing, Networking and Computers, 175–84. CRC Press, 2016. http://dx.doi.org/10.1201/b21308-24.
Texto completoActas de conferencias sobre el tema "Line Outage Identification"
Liao, Yizheng, Yang Weng, Chin-Woo Tan y Ram Rajagopal. "Urban distribution grid line outage identification". En 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2016. http://dx.doi.org/10.1109/pmaps.2016.7764218.
Texto completoJha, Vibhakar, Biswaranjan Mishra y Shubham Kumar Vishwakarma. "Power Line Outage Identification Using PMU". En 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.
Texto completoHe, Jia y Maggie Cheng. "Graph Convolutional Neural Networks for Power Line Outage Identification". En 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413093.
Texto completoZare, Javad y Farrokh Aminifar. "Synchrophasor-assisted line outage identification: A simple and iterative algorithm". En 2015 23rd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2015. http://dx.doi.org/10.1109/iraniancee.2015.7146467.
Texto completoRahim, M. N. A., I. Musirin, Z. A. Hamid y N. A. M. Kamari. "BCO based technique for line outage identification in congestion management". En 2012 IEEE International Power Engineering and Optimization Conference. IEEE, 2012. http://dx.doi.org/10.1109/peoco.2012.6230896.
Texto completoWang, Boyu, Chao Gan, Jing Yang, Chinmay Hedge y Jingxian Wu. "Graph-based multiple-line outage identification in power transmission systems". En 2017 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2017. http://dx.doi.org/10.1109/pesgm.2017.8274462.
Texto completoSoleymani, Mohammad y Amir Safdarian. "Unsupervised Learning for Distribution Grid Line Outage and Electricity Theft Identification". En 2019 Smart Grid Conference (SGC). IEEE, 2019. http://dx.doi.org/10.1109/sgc49328.2019.9056579.
Texto completoDai, Zhen y Joseph Euzebe Tate. "Line Outage Identification Based on AC Power Flow and Synchronized Measurements". En 2020 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2020. http://dx.doi.org/10.1109/pesgm41954.2020.9281410.
Texto completoAlam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, Anil Kumar y Sumit Banerjee. "An Efficient Algorithm for Line Outage Identification in Smart Power Grid". En 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE). IEEE, 2020. http://dx.doi.org/10.1109/pesgre45664.2020.9070662.
Texto completoJiang, Xichen, Yu Christine Chen, Venugopal V. Veeravalli y Alejandro D. Dominguez-Garcia. "Quickest line outage detection and identification: Measurement placement and system partitioning". En 2017 North American Power Symposium (NAPS). IEEE, 2017. http://dx.doi.org/10.1109/naps.2017.8107394.
Texto completo