Добірка наукової літератури з теми "Electrical resilience"
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Статті в журналах з теми "Electrical resilience":
Gibson, Tom. "Electrical Grid Resilience." Mechanical Engineering 142, no. 06 (June 1, 2020): 40–45. http://dx.doi.org/10.1115/1.2020-jun2.
Sanduleac, Mihai, Alexandru Sandulescu, Cristina Efremov, Constantin Ionescu, Ioan Catalin Damian, and Alexandru Mandis. "Aspects of Design in Low Voltage Resilient Grids—Focus on Battery Sizing and U Level Control with P Regulation in Microgrids of Energy Communities." Energies 16, no. 4 (February 15, 2023): 1932. http://dx.doi.org/10.3390/en16041932.
Oktapia S, Anggi, and Arthur Huwae. "Description of Resilience in Adolescents with HIV/AIDS." Majalah Kesehatan Indonesia 4, no. 1 (April 10, 2023): 1–10. http://dx.doi.org/10.47679/makein.2023119.
Rosales-Asensio, Enrique, José-Luis Elejalde, Antonio Pulido-Alonso, and Antonio Colmenar-Santos. "Resilience Framework, Methods, and Metrics for the Prioritization of Critical Electrical Grid Customers." Electronics 11, no. 14 (July 18, 2022): 2246. http://dx.doi.org/10.3390/electronics11142246.
Khodadadi, Ali, Taher Abedinzadeh, Hasan Alipour, and Jaber Pouladi. "Optimal Operation of Energy Hub Systems under Resiliency Response Options." Journal of Electrical and Computer Engineering 2023 (January 10, 2023): 1–13. http://dx.doi.org/10.1155/2023/2590362.
Faraji, Jamal, Masoud Babaei, Navid Bayati, and Maryam A.Hejazi. "A Comparative Study between Traditional Backup Generator Systems and Renewable Energy Based Microgrids for Power Resilience Enhancement of a Local Clinic." Electronics 8, no. 12 (December 5, 2019): 1485. http://dx.doi.org/10.3390/electronics8121485.
Cicilio, Phylicia, David Glennon, Adam Mate, Arthur Barnes, Vishvas Chalishazar, Eduardo Cotilla-Sanchez, Bjorn Vaagensmith, et al. "Resilience in an Evolving Electrical Grid." Energies 14, no. 3 (January 29, 2021): 694. http://dx.doi.org/10.3390/en14030694.
Cicilio, P., L. Swartz, B. Vaagensmith, C. Rieger, J. Gentle, T. McJunkin, and E. Cotilla-Sanchez. "Electrical grid resilience framework with uncertainty." Electric Power Systems Research 189 (December 2020): 106801. http://dx.doi.org/10.1016/j.epsr.2020.106801.
Hidayati, Diajeng Laily, and Maulita Noor Aisha. "Living with Hope: Resilience Among Parent/s of Children with Autism in Palembang Therapy Center." INKLUSI 9, no. 1 (August 5, 2022): 81–98. http://dx.doi.org/10.14421/ijds.090105.
Neumann, Konstantin, Tim van Erp, Erik Steinhöfel, Felix Sieckmann, and Holger Kohl. "Patterns for Resilient Value Creation: Perspective of the German Electrical Industry during the COVID-19 Pandemic." Sustainability 13, no. 11 (May 28, 2021): 6090. http://dx.doi.org/10.3390/su13116090.
Дисертації з теми "Electrical resilience":
Sarkar, Tuhin. "Understanding resilience in large networks." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107374.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 63-64).
This thesis focuses on the analysis of robustness in large interconnected networks. Many real life systems in transportation, economics, finance and social sciences can be represented as networks. The individual constituents, or nodes, of the network may represent vehicles in the case of vehicular platoons, production sectors in the case of economic networks, banks in the case of financial sector, or people in the case of social networks. Due to interconnections between constituents in these networks, a disturbance to any one of the constituents of the network may propagate to other nodes of the network. In any stable network, an incident noise, or disturbance, to any node of the network eventually fades away. However, in most real life situations, the object of interest is a finite time analysis of individual node behavior in response to input shocks, or noise, i.e., how the effect of an incident disturbance fades away with time. Such transient behavior depends heavily on the interconnections between the nodes of the network. In this thesis we build a framework to assess the transient behavior of large interconnected networks. Based on this formulation, we categorize each network into one of two broad classes - resilient or fragile. Intuitively, a network is resilient if the transient trajectory of every node of the network remains sufficiently close to the equilibrium, even as the network dimension grows. This is different from standard notion of stability wherein the trajectory excursion may grow arbitrarily with the network size. In order to quantify these transient excursions, we introduce a new notion of resilience that explicitly captures the effect of network interconnections on the resilience properties of the network. We further show that the framework presented here generalizes notions of robustness studied in many other applications, e.g., economic input-output production networks, vehicular platoons and consensus networks. The main contribution of this thesis is that it builds a general framework to study resilience in arbitrary networks, thus aiding in more robust network design.
by Tuhin Sarkar.
S.M. in Electrical Engineering
Lewis, John Arundel. "Carrier grade resilience in geographically distributed software defined networks." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/24975.
Mustafi, Urmi. "Investigating system resilience in distributed evolutionary GAN training." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130707.
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 57-58).
General Adverserial Networks (GANs) provide a useful approach to new data generation with a few common problems of mode collapsing and oscillating behavior. Lipizzaner improves the performance of distributed GAN training with the use of a spatially distributed coevolutionary algorithm and gradient-based optimizers. However, in its current state the use of Lipizzaner is limited by its vulnerabilities on systems that encounter frequent node failures. When faced with a single node failure, Lipizzaner's entire experiment comes to a halt and must be restarted. We see a need for increasing Lipizzaner's resilience to such failures and do the following. We apply a combination of uncoordinated checkpointing, attempted reconnecting, and restarting nodes to form a simple and efficient solution for system resilience in Lipizzaner. We find that checkpointing and reconnecting are essential and simple solutions to failure recovery in Lipizzaner, while restarting nodes requires a more nuanced approach that shows promising results when used correctly to address node failures.
by Urmi Mustafi.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Pourvali, Mahsa. "Resilience of Cloud Networking Services for Large Scale Outages." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6664.
Black, Travis Glenn. "Resilience of Microgrid during Catastrophic Events." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157603/.
Bal, Aatreyi. "Revamping Timing Error Resilience to Tackle Choke Points at NTC." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7456.
Arjona, Villicaña Pedro David. "Chain Routing : A novel routing framework for increasing resilience and stability in the Internet." Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/434/.
Watson, Eileen B. "Modeling Electrical Grid Resilience under Hurricane Wind Conditions with Increased Solar Photovoltaic and Wind Turbine Power Generation." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10844532.
The resource mix for the U.S. electrical power grid is undergoing rapid change with increased levels of solar photovoltaic (PV) and wind turbine electricity generating capacity. There are potential negative impacts to grid resilience resulting from hurricane damage to wind and solar power stations connected to the power transmission grid. Renewable power sources are exposed to the environment more so than traditional thermal power sources. To our knowledge, damage to power generating stations is not included in studies on hurricane damage to the electrical power grid in the literature. The lack of a hurricane wind damage prediction model for power stations will cause underestimation of predicted hurricane wind damage to the electrical grid with high percentages of total power generation capacity provided by solar photovoltaic and wind turbine power stations.
Modeling hurricane wind damage to the transmission grid and power stations can predict damage to electrical grid components including power stations, the resultant loss in power generation capacity, and restoration costs for the grid. This Praxis developed models for hurricane exposure, fragility curve-based damage to electrical transmission grid components and power generating stations, and restoration cost to predict resiliency factors including power generation capacity lost and the restoration cost for electrical transmission grid and power generation system damages. Synthetic grid data were used to model the Energy Reliability Council of Texas (ERCOT) electrical grid. A case study was developed based on Hurricane Harvey. This work is extended to evaluate the changes to resiliency as the percentage of renewable sources is increased from 2017 levels to levels corresponding to the National Renewable Energy Lab (NREL) Futures Study 2050 Texas scenarios for 50% and 80% renewable energy.
Austin, Kate. "The Queensland community’s propensity to invest in the resilience of their community and the electrical distribution network." Thesis, Austin, Kate (2019) The Queensland community’s propensity to invest in the resilience of their community and the electrical distribution network. Masters by Coursework thesis, Murdoch University, 2019. https://researchrepository.murdoch.edu.au/id/eprint/50292/.
Lai, Kexing. "Security Improvement of Power System via Resilience-oriented Planning and Operation." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1556872200222431.
Книги з теми "Electrical resilience":
Afgan, Naim. Sustainable resilience of energy systems. Hauppauge, N.Y: Nova Science Publishers, 2010.
Afgan, Naim. Sustainable resilience of energy systems. New York: Nova Science Publishers, 2010.
Abi-Samra, Nicholas. Power grid resiliency for adverse conditions. Boston: Artech House, 2017.
Johnson, Anne Frances, ed. Communications, Cyber Resilience, and the Future of the U.S. Electric Power System. Washington, D.C.: National Academies Press, 2020. http://dx.doi.org/10.17226/25782.
Bostan, Ion. Resilient Energy Systems: Renewables: Wind, Solar, Hydro. Dordrecht: Springer Netherlands, 2013.
Kaplan, Stan Mark. Smart grid: Modernizing electric power transmission and distribution ; energy independence, storage and security ; energy independence and security act of 2007 (EISA) ; improving electrical grid efficiency, communication, reliability, and resiliency ; integrating new and renewable energy sources. Alexandria, VA: TheCapitol.Net, 2009.
United States. Congress. House. Committee on Homeland Security. Subcommittee on Emerging Threats, Cybersecurity, and Science and Technology. Implications of cyber vulnerabilities on the resilience and security of the electric grid: Hearing before the Subcommittee on Emerging Threats, Cybersecurity, and Science and Technology of the Committee on Homeland Security, House of Representatives, One Hundred Tenth Congress, second session, May 21, 2008. Washington: U.S. G.P.O., 2008.
Electric Power Systems Resiliency. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-02601-0.
Board on Energy and Environmental Systems, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, and Committee on Enhancing the Resilience of the Nation's Electric Power Transmission and Distribution System. Enhancing the Resilience of the Nation's Electricity System. National Academies Press, 2017.
Board on Energy and Environmental Systems, National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, and Committee on Enhancing the Resilience of the Nation's Electric Power Transmission and Distribution System. Enhancing the Resilience of the Nation's Electricity System. National Academies Press, 2017.
Частини книг з теми "Electrical resilience":
Chatterjee, Bijoy Chand, Nityananda Sarma, Partha Pratim Sahu, and Eiji Oki. "A Reliable Fault Resilience Scheme." In Lecture Notes in Electrical Engineering, 85–100. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46203-5_7.
Zussblatt, Niels P., Alexander A. Ganin, Sabrina Larkin, Lance Fiondella, and Igor Linkov. "Resilience and Fault Tolerance in Electrical Engineering." In NATO Science for Peace and Security Series C: Environmental Security, 427–47. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-1123-2_16.
Chen, Juntao, and Quanyan Zhu. "Meta-Network Modeling and Resilience Analysis." In SpringerBriefs in Electrical and Computer Engineering, 13–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23444-7_3.
Coşkun, Yağmur, Mert Eygi, Gediz Sezgin, and Güneş Karabulut Kurt. "Jamming Resilience of LTE Networks: A Measurement Study." In Lecture Notes in Electrical Engineering, 151–62. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0408-8_13.
Tofani, Alberto, Gregorio D’Agostino, Antonio Di Pietro, Giacomo Onori, Maurizio Pollino, Silvio Alessandroni, and Vittorio Rosato. "Operational Resilience Metrics for a Complex Electrical Network." In Critical Information Infrastructures Security, 60–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99843-5_6.
Xu, Longxia, Feng Zhu, and Xiaohui Li. "Analysis and Suggestions on the Resilience of GNSS Timing." In Lecture Notes in Electrical Engineering, 656–65. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3142-9_63.
Dini, Hasna Satya, and Jasrul Jamani Jamian. "Effectiveness of Resilience Index in Assessing Power System Performance." In Lecture Notes in Electrical Engineering, 1003–19. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6749-0_68.
Zhao, Jingjing, Zibo Li, Shuai Liu, Ming Du, and Chaoli Zhang. "The Resilience Improvement Method of Distribution Network Including SOP." In Lecture Notes in Electrical Engineering, 138–47. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0408-2_15.
Jishnu Sankar, V. C., Arya Hareendran, and Manjula G. Nair. "Enhanced Smart Grid Resilience Using Autonomous EV Charging Station." In Lecture Notes in Electrical Engineering, 135–49. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0915-5_10.
Rrushi, Julian L. "Multi-range Decoy I/O Defense of Electrical Substations Against Industrial Control System Malware." In Resilience of Cyber-Physical Systems, 151–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95597-1_7.
Тези доповідей конференцій з теми "Electrical resilience":
Tang, Yachen, Chee-Wooi Ten, and Laura E. Brown. "Switching reconfiguration of fraud detection within an electrical distribution network." In 2017 Resilience Week (RWS). IEEE, 2017. http://dx.doi.org/10.1109/rweek.2017.8088673.
O'Riordan, J. "Reconfiguring electrical networks for enhanced resilience." In IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.0880.
Nuqui, Reynaldo, Junho Hong, Anil Kondabathini, Dmitry Ishchenko, and David Coats. "A Collaborative Defense for Securing Protective Relay Settings in Electrical Cyber Physical Systems." In 2018 Resilience Week (RWS). IEEE, 2018. http://dx.doi.org/10.1109/rweek.2018.8473536.
Mate, Adam, Travis Hagan, Eduardo Cotilla-Sanchez, Ted K. A. Brekken, and Annette Von Jouanne. "Impacts of Earthquakes on Electrical Grid Resilience." In 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS). IEEE, 2021. http://dx.doi.org/10.1109/icps51807.2021.9416632.
Prudenzi, A., A. Fioravanti, and M. Regoli. "Smartening hospital electrical distribution for enhancing resilience." In 2018 AEIT International Annual Conference. IEEE, 2018. http://dx.doi.org/10.23919/aeit.2018.8577293.
Perrings, Charles, Elizabeth K. Larson, and Paul J. Maliszewski. "Valuing the resilience of the electrical power infrastructure." In 2011 IEEE/PES Power Systems Conference and Exposition (PSCE). IEEE, 2011. http://dx.doi.org/10.1109/psce.2011.5772485.
Dvorsky, Petr, and Petr Fiedler. "Increasing resilience of an embedded design." In 2021 Selected Issues of Electrical Engineering and Electronics (WZEE). IEEE, 2021. http://dx.doi.org/10.1109/wzee54157.2021.9576966.
Eskander, Mina, Edvard Avdevicius, and Detlef Schulz. "Generic Methodology for Electrical Grid Resilience Using V2S of Large-Scale Electric Bus Depots." In 2023 12th International Conference on Power Science and Engineering (ICPSE). IEEE, 2023. http://dx.doi.org/10.1109/icpse59506.2023.10329292.
Chen, Tao, Xiuzhong Yang, Chong Chen, Chuang Deng, Han Wu, and Jiayu Wu. "Evaluation for the Resilience of Distribution Network." In 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE). IEEE, 2020. http://dx.doi.org/10.1109/acpee48638.2020.9136474.
Ahmad, Dilshad, and Chandan Kumar Chanda. "A framework for resilience performance analysis of an electrical grid." In 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC). IEEE, 2016. http://dx.doi.org/10.1109/ciec.2016.7513735.
Звіти організацій з теми "Electrical resilience":
Lai, M., J. Papadoulis, and G. Ryley. Risk and resilience approaches in electrical infrastructure. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330536.
Du, Xinlong, and Jerome F. Hajjar. Structural Performance Assessment of Electrical Transmission Networks for Hurricane Resilience Enhancement. Northeastern University, August 2022. http://dx.doi.org/10.17760/d20460693.
Huang, C. Gas-Electrical Grid Coordination for Cross Infrastructure Resilience Enhancement. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1572607.
Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40299.
Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42200.
Callaghan, Caitlin, Danielle Peterson, Timothy Cooke, Brandon Booker, and Kathryn Trubac. Installation resilience in cold regions using energy storage systems. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42200.
Finster, M., J. Phillips, and K. Wallace. Front-Line Resilience Perspectives: The Electric Grid. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1344876.
Culler, Megan, Jake Gentle, Katherine Hovland, Aaron Snyder, Sean Morash, Neil Placer, and Stephen Bukowski. Resilience Framework for Electric Energy Delivery Systems. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1811840.
Taft, Jeffrey. Electric Grid Resilience and Reliability for Grid Architecture. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1985267.
Culler, Megan, Mathew Wymore, Michael Cutshaw, Zachary Priest, Manuel Marin, and Jody Dillon. Resilience Development for Electric Energy Delivery Sytems (ResDEEDS): A Tool for Power System Resilience Planning. Office of Scientific and Technical Information (OSTI), August 2023. http://dx.doi.org/10.2172/2008353.