Academic literature on the topic 'Power systems resilience'
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Journal articles on the topic "Power systems resilience"
Schulte, Fiona, Eckhard Kirchner, and Hermann Kloberdanz. "Analysis and Synthesis of Resilient Load-Carrying Systems." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 1403–12. http://dx.doi.org/10.1017/dsi.2019.146.
Full textSarker, Partha, and Henry D. Lester. "Post-Disaster Recovery Associations of Power Systems Dependent Critical Infrastructures." Infrastructures 4, no. 2 (May 29, 2019): 30. http://dx.doi.org/10.3390/infrastructures4020030.
Full textLi, Jia, Feng Liu, Ying Chen, Chengcheng Shao, Guanqun Wang, Yunhe Hou, and Shengwei Mei. "Resilience Control of DC Shipboard Power Systems." IEEE Transactions on Power Systems 33, no. 6 (November 2018): 6675–85. http://dx.doi.org/10.1109/tpwrs.2018.2844161.
Full textShen, Lijuan, Yanlin Tang, and Loon Ching Tang. "Understanding key factors affecting power systems resilience." Reliability Engineering & System Safety 212 (August 2021): 107621. http://dx.doi.org/10.1016/j.ress.2021.107621.
Full textTapia, Mariela, Pablo Thier, and Stefan Gößling-Reisemann. "Building resilient cyber-physical power systems." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 29, no. 1 (April 1, 2020): 23–29. http://dx.doi.org/10.14512/tatup.29.1.23.
Full textFaraji, 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.
Full textShen, Lijuan, Beatrice Cassottana, and Loon Ching Tang. "Statistical trend tests for resilience of power systems." Reliability Engineering & System Safety 177 (September 2018): 138–47. http://dx.doi.org/10.1016/j.ress.2018.05.006.
Full textJamaluddin, Khairulnadzmi, Sharifah Rafidah Wan Alwi, Zainuddin Abdul Manan, Khaidzir Hamzah, and Jiří Jaromír Klemeš. "Hybrid power systems design considering safety and resilience." Process Safety and Environmental Protection 120 (November 2018): 256–67. http://dx.doi.org/10.1016/j.psep.2018.09.016.
Full textJordaan, Sarah M. "Resilience for power systems amid a changing climate." Bulletin of the Atomic Scientists 74, no. 2 (February 19, 2018): 95–101. http://dx.doi.org/10.1080/00963402.2018.1436810.
Full textFanucchi, Rodrigo Z., Michel Bessani, Marcos H. M. Camillo, Anderson da S. Soares, João B. A. London Jr, Luiz Desuó, and Carlos D. Maciel. "Stochastic indexes for power distribution systems resilience analysis." IET Generation, Transmission & Distribution 13, no. 12 (June 18, 2019): 2507–16. http://dx.doi.org/10.1049/iet-gtd.2018.6667.
Full textDissertations / Theses on the topic "Power systems resilience"
Mohammadi, Darestani Yousef. "Hurricane Resilience Quantification and Enhancement of Overhead Power Electric Systems." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1565910362117519.
Full textLyon, Christopher. "Exploring power in the theory and practice of resilience." Thesis, University of Dundee, 2017. https://discovery.dundee.ac.uk/en/studentTheses/34a6d76d-9753-4ee2-adc1-a9aac3765046.
Full textBiswas, Shuchismita. "Power Grid Partitioning and Monitoring Methods for Improving Resilience." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104684.
Full textDoctor of Philosophy
The modern power grid faces multiple threats, including extreme-weather events, solar storms, and potential cyber-physical attacks. Towards the larger goal of enhancing power systems resilience, this dissertation develops strategies to mitigate the impact of such extreme events. The proposed schemes broadly aim to- a) improve grid performance in the immediate aftermath of a disruptive event, and b) enhance grid monitoring to identify precursors of impending failures. To improve grid performance after a disruption, we propose a proactive islanding strategy for the bulk power grid, aimed at arresting the propagation of cascading failures. For the distribution network, a mixed-integer linear program is formulated for identifying optimal sub-networks with load and distributed generators that may be retrofitted to operate as self-adequate microgrids, if supply from the bulk power systems is lost. To address the question of enhanced monitoring, we develop model-agnostic, computationally efficient recovery algorithms for archived and streamed data from Phasor Measurement Units (PMU) with data drops and additive noise. PMUs are highly precise sensors that provide high-resolution insight into grid dynamics. We also illustrate an application where PMU data is used to identify the location of temporary line faults.
Ashmore, Fiona Helena. "An analysis of community-led superfast broadband initiatives in the UK and the potential for resilience." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=229420.
Full textWatson, 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.
Full textThe 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.
Souto, Laiz. "Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems." Doctoral thesis, Universitat de Girona, 2021. http://hdl.handle.net/10803/671402.
Full textEsta tesis presenta el estudio y el desarrollo de distintas técnicas basadas en datos para respaldar las tareas de detección de eventos, localización de fallos y resiliencia hacia mejoras en sistemas de energía eléctrica. Los contenidos se dividen en tres partes principales descritas a continuación. La primera parte investiga mejoras en el monitoreo de sistemas de energía eléctrica y métodos de detección de eventos con enfoque en técnicas de reducción de dimensionalidad en wide-area monitoring systems. La segunda parte se centra en contribuciones a tareas de localización de fallos en redes eléctricas de distribución, basándose en información acerca de la topología de la red y sus parámetros eléctricos para simulaciones de cortocircuito en una variedad de escenarios. La tercera parte evalúa mejoras en la resiliencia de sistemas de energía eléctrica ante eventos de alto impacto y baja probabilidad asociados con condiciones climáticas extremas y ataques provocados por humanos, basándose en información sobre la topología del sistema combinada con simulaciones de escenarios representativos para la evaluación y mitigación del impacto. En general, los algoritmos propuestos basados en datos contribuyen a la detección de eventos, la localización de fallos, y el aumento de la resiliencia de sistemas de energía eléctrica, basándose en mediciones eléctricas registradas por dispositivos electrónicos inteligentes, datos históricos de eventos pasados y escenarios representativos, en conjunto con información acerca de la topología de la red, parámetros eléctricos y estado operativo. La validación de los algoritmos, implementados en MATLAB, se basa en simulaciones computacionales utilizando modelos de red implementados en OpenDSS y Simulink
Bessani, Michel. "Resilience and vulnerability of power distribution systems: approaches for dynamic features and extreme weather scenarios." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-11072018-165318/.
Full textNossa sociedade é altamente dependente de commodities, como água e eletricidade, fornecidas para os usuários por sistemas de engenharia, conhecidos como infraestruturas críticas. A compreensão de como tais sistemas lidam com eventos prejudiciais é uma preocupação atual de pesquisadores, agentes públicos e sociedade. A perda de desempenho de um sistema devido a danos é relacionada à sua vulnerabilidade, e a capacidade de absorver e se recuperar dos danos é a resiliência. Neste estudo, são apresentadas abordagens para avaliar a vulnerabilidade e resiliência de sistemas de distribuição de energia considerando características dinâmicas, como os processos de falha e reconfiguração do sistema, para a vulnerabilidade, e os efeitos de climas extremos na resiliência com os processos de falha e reparo. Tais abordagens foram aplicadas em sistemas previamente apresentados na literatura, e também em um sistema brasileiro. Simulação de Monte Carlo foi utilizada para avaliar as dinâmicas de falha e reparo do sistema utilizando de modelos obtidos a partir de dados históricos, e um método para usar os modelos de tempo-até-falha durante a análise de vulnerabilidade também foi apresentado. Além disso, uma avaliação do impacto da dinâmica de reconfiguração na vulnerabilidade foi realizada e uma avaliação de resiliência sob diferentes cenários climáticos foi desenvolvida. Os modelos tempo-para-falha e reparo destacaram como fatores externos modificam as dinâmicas de falha e reparo do sistema brasileiro, o uso de modelos de confiabilidade na análise de vulnerabilidades mostrou que a consideração dos diferentes tipos de elementos geram resultados diferentes e o domínio de tempo permite novas perspectivas de análise. A investigação da reconfiguração indicou que a redução da vulnerabilidade devido à reconfiguração é afetada pelo número de chaves e também pela máxima capacidade de carga dos alimentadores do sistema de distribuição. A avaliação de resiliência mostrou que, para conectividade estrutural, redes de distribuição maiores são menos resilientes, enquanto que para fornecimento de energia, um conjunto de características, relacionados com a organização topológica e elétrica dessas redes parece ser associado à resiliência do serviço, informação útil para o planejamento. As dinâmicas avaliadas neste estudo são relevantes para a vulnerabilidade e resiliência de tais sistemas, e também para outras infraestruturas críticas. Além disso, essas abordagens podem ser aplicadas a outros sistemas, como transporte e distribuição de água. Em estudos futuros, outras características de sistemas de distribuição de energia, como geração distribuída e armazenamento de energia, serão consideradas nas análises de vulnerabilidade e resiliência.
Gong, Ning. "Resilient Control Strategy and Analysis for Power Systems using (n, k)-Star Topology." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/410406.
Full textPh.D.
This research focuses on developing novel approaches in load balancing and restoration problems in electrical power distribution systems. The first approach introduces an inter-connected network topology, referred to as (n, k)-star topology. While power distribution systems can be constructed in different communication network topologies, the performance and fault assessment of the networked systems can be challenging to analyze. The (n, k)-star topologies have well defined performance and stability analysis metrics. Typically, these metrics are defined based on: i) degree, ii) diameter, and iii) conditional diagnosability of a faulty node. These parameters could be evaluated and assessed before a physical (n, k)-star topology power distribution system is constructed. Moreover, in the second approach, we evaluate load balancing problems by using a decentralized algorithm, i.e., the Multi-Agent System (MAS) based consensus algorithm on an (n, k)-star power topology. With aforementioned research approaches, an (n, k)-star power distribution system can be assessed with proposed metrics and assessed with encouraging results compared to other topology networked systems. Other encouraging results are found in efficiency and performance enhancement during information exchange using the decentralized algorithm. It has been proven that a load balance solution is convergent and asymptotically stable with a simple gain controller. The analysis can be achieved without constructing a physical network to help evaluate the design. Using the (n, k)-star topology and MAS, the load balancing/restoration problems can be solved much more quickly and accurately compared to other approaches shown in the literature.
Temple University--Theses
Vilchis, Medina José Luis. "Modeling of resilient systems in non-monotonic logic : application to solar power UAV." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0567/document.
Full textThis thesis presents a resilient model to pilot an aircraft based on a non-monotonic logic. This model is capable of handling solutions from incomplete, contradictory information and exceptions. This is a very well known problem in Artificial Intelligence, which has been studied for more than 40 years. To do this, we use default logic to formalise the situation and find possible conclusions. Thanks to this logic we can transform the piloting rules to defaults. Then, when we calculate the solutions, several options could result. At this point an opportunistic decision criteria takes place to choose the better solution. The control of the system is done via the property of resilence, we redefine this property as the integration of the non-monotonic logic in the Minsky’s model. As a result, it is shown that the proposed resilient model could be generalised to systems that incorporate a knowledge of the world that contains situations, objectives and actions. Finally, we present the experimental results and conclusion of the thesis discussing the prospects and challenges that exist for future directions. Different applications in other fields are taken into account for the interest of the model’s behavior
Zounon, Mawussi. "On numerical resilience in linear algebra." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0038/document.
Full textAs the computational power of high performance computing (HPC) systems continues to increase by using huge number of cores or specialized processing units, HPC applications are increasingly prone to faults. This study covers a new class of numerical fault tolerance algorithms at application level that does not require extra resources, i.e., computational unit or computing time, when no fault occurs. Assuming that a separate mechanism ensures fault detection, we propose numerical algorithms to extract relevant information from available data after a fault. After data extraction, well chosen part of missing data is regenerated through interpolation strategies to constitute meaningful inputs to numerically restart the algorithm. We have designed these methods called Interpolation-restart techniques for numerical linear algebra problems such as the solution of linear systems or eigen-problems that are the inner most numerical kernels in many scientific and engineering applications and also often ones of the most time consuming parts. In the framework of Krylov subspace linear solvers the lost entries of the iterate are interpolated using the available entries on the still alive nodes to define a new initial guess before restarting the Krylov method. In particular, we consider two interpolation policies that preserve key numerical properties of well-known linear solvers, namely the monotony decrease of the A-norm of the error of the conjugate gradient or the residual norm decrease of GMRES. We assess the impact of the fault rate and the amount of lost data on the robustness of the resulting linear solvers.For eigensolvers, we revisited state-of-the-art methods for solving large sparse eigenvalue problems namely the Arnoldi methods, subspace iteration methods and the Jacobi-Davidson method, in the light of Interpolation-restart strategies. For each considered eigensolver, we adapted the Interpolation-restart strategies to regenerate as much spectral information as possible. Through intensive experiments, we illustrate the qualitative numerical behavior of the resulting schemes when the number of faults and the amount of lost data are varied; and we demonstrate that they exhibit a numerical robustness close to that of fault-free calculations. In order to assess the efficiency of our numerical strategies, we have consideredan actual fully-featured parallel sparse hybrid (direct/iterative) linear solver, MaPHyS, and we proposed numerical remedies to design a resilient version of the solver. The solver being hybrid, we focus in this study on the iterative solution step, which is often the dominant step in practice. The numerical remedies we propose are twofold. Whenever possible, we exploit the natural data redundancy between processes from the solver toperform an exact recovery through clever copies over processes. Otherwise, data that has been lost and is not available anymore on any process is recovered through Interpolationrestart strategies. These numerical remedies have been implemented in the MaPHyS parallel solver so that we can assess their efficiency on a large number of processing units (up to 12; 288 CPU cores) for solving large-scale real-life problems
Books on the topic "Power systems resilience"
Mahdavi Tabatabaei, Naser, Sajad Najafi Ravadanegh, and Nicu Bizon, eds. Power Systems Resilience. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94442-5.
Full textAfgan, Naim. Sustainable resilience of energy systems. New York: Nova Science Publishers, 2010.
Find full textAfgan, Naim. Sustainable resilience of energy systems. Hauppauge, N.Y: Nova Science Publishers, 2010.
Find full textJohnson, 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.
Full textImplications 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.
Find full text(Firm), TheCapitol Net, ed. 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.
Find full textBizon, Nicu, Naser Mahdavi Tabatabaei, and Sajad Najafi Ravadanegh. Power Systems Resilience: Modeling, Analysis and Practice. Springer, 2018.
Find full textBizon, Nicu, Naser Mahdavi Tabatabaei, and Sajad Najafi Ravadanegh. Power Systems Resilience: Modeling, Analysis and Practice. Springer, 2018.
Find full textNational Academies of Sciences, Engineering, and Medicine. Enhancing the Resilience of the Nation's Electricity System. National Academies Press, 2017.
Find full textBoard 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.
Find full textBook chapters on the topic "Power systems resilience"
Mojtahedzadeh, Shahram, Sajad Najafi Ravadanegh, Mahmoudreza Haghifam, and Naser Mahdavi Tabatabaei. "Resilience Thorough Microgrids." In Power Systems Resilience, 119–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_5.
Full textAndrei, Horia, Marian Gaiceanu, Marilena Stanculescu, Iulian Nicusor Arama, and Paul Cristian Andrei. "Power Systems Connectivity and Resiliency." In Power Systems Resilience, 45–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_2.
Full textSalyani, Pouya, Sajad Najafi Ravadanegh, and Naser Mahdavi Tabatabaei. "Optimal Scheduling of Networked-Microgrids to Resiliency Enhancement Under Uncertainty." In Power Systems Resilience, 139–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_6.
Full textNajafi Ravadanegh, Sajad, Masoumeh Karimi, and Naser Mahdavi Tabatabaei. "Modeling and Analysis of Resilience for Distribution Networks." In Power Systems Resilience, 3–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_1.
Full textAndrei, Horia, Paul Cristian Andrei, Marian Gaiceanu, Marilena Stanculescu, Iulian Nicusor Arama, and Ioan Marinescu. "Power Systems Recovery and Restoration Encounter with Natural Disaster and Deliberate Attacks." In Power Systems Resilience, 247–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_10.
Full textMihalache, Sanda Florentina, Emil Pricop, and Jaouhar Fattahi. "Resilience Enhancement of Cyber-Physical Systems: A Review." In Power Systems Resilience, 269–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_11.
Full textEnescu, Florentina Magda, Nicu Bizon, and Carmen Maria Moraru. "Issues in Securing Critical Infrastructure Networks for Smart Grid Based on SCADA, Other Industrial Control and Communication Systems." In Power Systems Resilience, 289–324. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_12.
Full textUrsu, Doru, and Mariana Iorgulescu. "Continuity of Electricity Supply and Specific Indicators." In Power Systems Resilience, 325–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_13.
Full textKabalci, Ersan. "Power System Flexibility and Resiliency." In Power Systems Resilience, 81–100. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_3.
Full textShayeghi, Hossein, and Abdollah Younesi. "Resilience Metrics Development for Power Systems." In Power Systems Resilience, 101–16. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_4.
Full textConference papers on the topic "Power systems resilience"
Campidelli, Manuel, Wael W. El-Dakhakhni, Michael J. Tait, and Waleed Mekky. "Resilience of Masonry Systems in Nuclear Power Plants Under Blast Risk." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65301.
Full textLakins, Tiffany L., and Chika O. Nwankpa. "Measurement sensitivity analysis of information embedded power systems using ABCD matrices." In 2016 Resilience Week (RWS). IEEE, 2016. http://dx.doi.org/10.1109/rweek.2016.7573314.
Full textHasan, Saqib, Amin Ghafouri, Abhishek Dubey, Gabor Karsai, and Xenofon Koutsoukos. "Heuristics-based approach for identifying critical N — k contingencies in power systems." In 2017 Resilience Week (RWS). IEEE, 2017. http://dx.doi.org/10.1109/rweek.2017.8088671.
Full textJayasuriya, Sachi, and Chika O. Nwankpa. "A network delay-based sensitivity analysis of information-embedded power electronic converter systems." In 2015 Resilience Week (RWS). IEEE, 2015. http://dx.doi.org/10.1109/rweek.2015.7287410.
Full textGaliardi, Meghan, Amanda Gonzales, Jamie Thorpe, Eric Vugrin, Raymond Fasano, and Christopher Lamb. "Cyber Resilience Analysis of SCADA Systems in Nuclear Power Plants." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16071.
Full textVillamarin-Jacome, Alex, Andres Chavez, and Rodrigo Moreno. "Seismic Resilience Assessment in Electric Power Systems." In 2019 FISE-IEEE/CIGRE Conference - Living the energy Transition (FISE/CIGRE). IEEE, 2019. http://dx.doi.org/10.1109/fisecigre48012.2019.8984989.
Full textWu, N. Eva, Morteza Sarailoo, and Mustafa Salman. "An ellipsoidal expansion algorithm for estimating and representing regions of attraction for large power systems." In 2017 Resilience Week (RWS). IEEE, 2017. http://dx.doi.org/10.1109/rweek.2017.8088653.
Full textVaagensmith, Bjorn, Jacob Ulrich, Justin Welch, Timothy McJunkin, and Craig Rieger. "IEEE 13 Bus Benchmark Model for Real-Time Cyber-Physical Control and Power Systems Studies." In 2019 Resilience Week (RWS). IEEE, 2019. http://dx.doi.org/10.1109/rws47064.2019.8971978.
Full textTamimi, Ali, Md Touhiduzzaman, and Adam Hahn. "Modeling and Analysis Cyber Threats in Power Systems Using Architecture Analysis & Design Language (AADL)." In 2019 Resilience Week (RWS). IEEE, 2019. http://dx.doi.org/10.1109/rws47064.2019.8972005.
Full textSnyder, Aaron F., and Sean Morash. "Toward Developing Metrics for Power System Resilience." In 2020 Clemson University Power Systems Conference (PSC). IEEE, 2020. http://dx.doi.org/10.1109/psc50246.2020.9131134.
Full textReports on the topic "Power systems resilience"
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.
Full textBent, Russell Whitford. Resilient Power Systems. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1172828.
Full textChalishazar, Vishvas, Shiva Poudel, Sarmad Hanif, and Priya Thekkumparambath Mana. Power System Resilience Metrics Augmentation for Critical Load Prioritization. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1764623.
Full textVugrin, Eric D., Andrea R. Castillo, and Cesar Augusto Silva-Monroy. Resilience Metrics for the Electric Power System: A Performance-Based Approach. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1367499.
Full textBaik, Sunhee, Nichole Hanus, Alan Sanstad, Joseph Eto, and Peter Larsen. A Hybrid Approach to Estimating the Economic Value of Enhanced Power System Resilience. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1767986.
Full textCampos do Prado, Josue, Jeffrey S. Logan, and Francisco Flores-Espino. Options for Resilient and Flexible Power Systems in Select South American Economies. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1577969.
Full textLaCommare, Kristina, Peter Larsen, and Joseph Eto. Evaluating Proposed Investments in Power System Reliability and Resilience: Preliminary Results from Interviews with Public Utility Commission Staff. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1342947.
Full textMaiangwa, Benjamin. Peace (Re)building Initiatives: Insights from Southern Kaduna, Nigeria. RESOLVE Network, September 2021. http://dx.doi.org/10.37805/pn2021.22.lpbi.
Full textBedford, Philip, Alexis Long, Thomas Long, Erin Milliken, Lauren Thomas, and Alexis Yelvington. Legal Mechanisms for Mitigating Flood Impacts in Texas Coastal Communities. Edited by Gabriel Eckstein. Texas A&M University School of Law Program in Natural Resources Systems, May 2019. http://dx.doi.org/10.37419/eenrs.mitigatingfloodimpactstx.
Full text