Academic literature on the topic 'Power systems resilience'

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Journal articles on the topic "Power systems resilience"

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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.

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AbstractResilient systems have the capability to survive and recover from seriously affecting events. Resilience engineering already is established for socio-economic organisations and extended network-like structures e. g. supply systems like power grids. Transferring the known principles and concepts used in these disciplines enables engineering resilient load-carrying systems and subsystems, too. Unexpected load conditions or component damages are summarised as disruptions caused by nesciense that may cause damages to the system or even system breakdowns. Disruptions caused by nescience can be controlled by analysing the resilience characteristics and synthesising resilient load-carrying systems. This paper contributes to a development methodology for resilient load-carrying systems by presenting a resilience applications model to support engineers analysing system resilience characteristics and behaviour. Further a concept of a systematically structured solution catalogue is provided that can be used for the classification of measures to realise resilience functions depending on system adaptivity and disruption progress. The resilience characteristics are illustrated by 3 examples.
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Sarker, 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.

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The complete failure of the power systems infrastructure in Puerto Rico, following Hurricanes Irma and Maria in 2017, severely hampered the recovery efforts of multiple critical infrastructure systems (CIS). Understanding the relationships of infrastructure recovery efforts between power infrastructure systems and the other CIS has the potential to be a key in developing an effective recovery plan leading to resilient infrastructure systems, and thereby a more resilient community. This paper explores the critical interfaces and interdependencies in CIS recovery by examining the disruptions and recovery progress of the CIS, including the power infrastructure systems, in Puerto immediately following the events of Hurricane Maria. This research uncovers that strong CIS recovery interdependency relationships exist between the power infrastructure systems and other CIS in Puerto Rico, and these relationships contribute to the resilience of these CIS. The resultant CIS recovery associations may potentially predict the recovery progress of post-disaster CIS recovery centered on the power infrastructure systems and lay the groundwork for further interdependency analysis of CIS in post-disaster scenarios. The results may also be helpful while designing CIS for resiliency in natural disaster areas.
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Li, 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.

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Shen, 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.

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Tapia, 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.

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Power systems are undergoing a profound transformation towards cyber- physical systems. Disruptive changes due to energy system transition and the complexity of the interconnected systems expose the power system to new, unknown, and unpredictable risks. To identify the critical points, a vulnerability assessment was conducted, involving experts from the power as well as the information and communication technologies (ICT) sectors. Weaknesses were identified, e. g., the lack of policy enforcement, which are worsened by the unreadiness of the actors involved. Due to the complex dynamics of ICT, it is infeasible to keep a complete inventory of potential stressors to define appropriate preparation and prevention mechanisms. Therefore, we suggest applying a resilience management approach to increase the resilience of the system. It aims at better riding through failures rather than building higher walls. We conclude that building resilience in cyber-physical power systems is feasible and helps in preparing for the unexpected.
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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.

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Extreme weather events lead to electrical network failures, damages, and long-lasting blackouts. Therefore, enhancement of the resiliency of electrical systems during emergency situations is essential. By using the concept of standby redundancy, this paper proposes two different energy systems for increasing load resiliency during a random blackout. The main contribution of this paper is the techno-economic and environmental comparison of two different resilient energy systems. The first energy system utilizes a typical traditional generator (TG) as a standby component for providing electricity during the blackouts and the second energy system is a grid-connected microgrid consisting of photovoltaic (PV) and battery energy storage (BES) as a standby component. Sensitivity analyses are conducted to investigate the survivability of both energy systems during the blackouts. The objective function minimizes total net present cost (NPC) and cost of energy (COE) by considering the defined constraints of the system for increasing the resiliency. Simulations are performed by HOMER, and results show that for having almost the same resilience enhancement in both systems, the second system, which is a grid-connected microgrid, indicates lower NPC and COE compared to the first system. More comparison details are shown in this paper to highlight the effectiveness and weakness of each resilient energy system.
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Shen, 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.

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Jamaluddin, 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.

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Jordaan, 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.

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Fanucchi, 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.

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Dissertations / Theses on the topic "Power systems resilience"

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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.

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Lyon, 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.

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This thesis explores the question of how social power is accounted for in the theory and practice of resilience. Beginning with a critical assessment of the social ecological systems (SES) perspective that underpins much of the theory and study of resilience, this thesis develops a framework, based on Gaventa’s powercube, for understanding power that also incorporates a much less hierarchical understanding of the dimensions of space and time. This revised ‘powerplane’ framework is applied to two empirical case studies of practices of resilience. Applying the powerplane to the case of government-led Scottish community emergency resilience planning finds that while the practices of resilience result in greater levels of engagement and interaction between local and regional levels of government, a gap exists between local government and the public it represents. Applying the powerplane to the grassroots case of Transition Town Peterborough, Canada, shows that intimate knowledge of local social and political institutions can allow a grassroots organisation to introduce resilience ideas into social and political community life. Together the two case studies reveal three key insights from resilience practices aimed at local contexts, rooted in: (1) institutionalising community engagement practices; (2) differences between formal and informal understandings of resilience; and (3) the scope of the risks resilience is aimed at mitigating. Critically exploring these issues in turn helps to illuminate questions about the efficacy, as well as the social and political implications of the resilience practice in question. For theory, the research shows that reconsidering hierarchical notions of scale and time in SES resilience can provoke new thinking about the role of power in resilience practices. In doing so, insights from this research offer novel challenges and complementarities to they way existing critiques of resilience approaches to account for social power issues.
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Biswas, Shuchismita. "Power Grid Partitioning and Monitoring Methods for Improving Resilience." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104684.

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This dissertation aims to develop decision-making tools that aid power grid operators in mitigating extreme events. Two distinct areas are focused on: a) improving grid performance after a severe disturbance, and b) enhancing grid monitoring to facilitate timely preventive actions. The first part of the dissertation presents a proactive islanding strategy to split the bulk power transmission system into smaller self-adequate islands in order to arrest the propagation of cascading failures after an event. Heuristic methods are proposed to determine in what sequence should the island boundary lines be disconnected such that there are no operation constraint violations. The idea of optimal partitioning is further extended to the distribution network. A planning problem for determining which parts of the existing distribution grid can be converted to microgrids is formulated. This partitioning formulation addresses safety limits, uncertainties in load and generation, availability of grid-forming units, and topology constraints such as maintaining network radiality. Microgrids help maintain energy supply to critical loads during grid outages, thereby improving resilience. The second part of the dissertation focuses on wide-area monitoring using Phasor Measurement Unit (PMU) data. Strategies for data imputation and prediction exploiting the spatio-temporal correlation in PMU measurements are outlined. A deep-learning-based methodology for identifying the location of temporary power systems faults is also illustrated. As severe weather events become more frequent, and the threats from coordinated cyber intrusions increase, formulating strategies to reduce the impact of such events on the power grid becomes important; and the approaches outlined in this work can find application in this context.
Doctor 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.
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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.

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Despite interest from policymakers and the telecommunications sector to deliver superfast broadband to the whole of the UK, rural areas remain underserved, decreasing their ability to benefit from broadband-enabled services. Public intervention, primarily structured as national subsidies, is active across the UK to respond to this rural market failure. Complementing such practices are local-level strategies framed as community-led broadband initiatives. Their inclusion within wider superfast broadband installation strategies has not yet been examined. This doctoral research examines two of these initiatives, their structure and impact on the community to develop an understanding of their potential as replicable rural broadband delivery mechanisms. I analyse both the process of installing superfast broadband technology from community-led perspective and the subsequent engagement with superfast broadband through a qualitative longitudinal approach. A conceptual framework of 'social resilience' is developed as a contemporary analytical tool for examining these individual and community processes. The findings reveal an inherent complexity to rural community-led broadband provision. Community-led broadband reflects a 'localism' development approach, and this process has strengthened local rural identity. Following the adoption of superfast broadband, rural users experienced a growth in digital knowledge and individual resilience. However, the initiatives themselves are often discussed as 'separate from', or incompatible with, the telecommunications industry, as well as sitting outside the scope of current government interventions. In doing so, barriers to external networking and extra-local partnerships are built, limiting the opportunities for community-led broadband networks to become a substantive part of rural broadband delivery across the UK. Throughout the thesis, an understanding of these various tensions, impacting the success, use and replicability of rural community-led broadband, is developed and community-led broadband is shown to be another example of uneven rural development. I conclude by making recommendations for future digital policy interventions in the UK.
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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.

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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.

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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.

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This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main parts as follows. The first part investigates improvements in power system monitoring and event detection methods with focus on dimensionality reduction techniques in wide-area monitoring systems. The second part focuses on contributions to fault location tasks in power distribution networks, relying on information about the network topology and its electrical parameters for short-circuit simulations over a range of scenarios. The third part assesses enhancements in power system resilience to high-impact, lowprobability events associated with extreme weather conditions and human-made attacks, relying on information about the system topology combined with simulations of representative scenarios for impact assessment and mitigation. Overall, the proposed data-driven algorithms contribute to event detection, fault location, and resilience assessment, relying on electrical measurements recorded by intelligent electronic devices, historical data of past events, and representative scenarios, together with information about the network topology, electrical parameters, and operating status. The validation of the algorithms, implemented in MATLAB, is based on computer simulations using network models implemented in OpenDSS and Simulink
Esta 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
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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/.

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Our society is heavily dependent on commodities, as water and electricity, supplied to final users by engineered systems, which are known as critical infrastructures. In such context, the understanding of how such systems handle damaging events is an important aspect and is a current concern of researchers, public agents, and society. How much of performance a system loses due to damages is related to its vulnerability, and the ability to absorb and recover successfully from damages is its resilience. In this study, approaches to assess the vulnerability and resilience of power distribution systems by evaluating dynamic features, as the processes of failure and repair, and system reconfiguration for vulnerability, and the effects of extreme weather scenarios for resilience together with the processes of failure of repair are presented. Such approaches were applied on systems previously presented in the literature, and also on a Brazilian power distribution system. A Monte Carlo simulation was applied to evaluate this systems, models for time-to-failure and time-to-repair under different circumstances were obtained from historical data, and a method to use the models of time-to-failure during the vulnerability analysis was introduced. In addition, an assessment of the impact of reconfiguration capability on vulnerability is also carried out, and a resilience assessment under different climate scenarios has been developed. The time-to-failure and repair models highlighted how external factors modifies the Brazilian system failure and repair dynamics, the use of time-to-failure models during vulnerability analysis showed that the consideration of the failure dynamic of the types of elements give different results, and the time domain allows new analysis\' perspectives. The investigation indicated that the vulnerability reduction due to reconfiguration is affected by the number of switches and also the maximum load capacity of the distribution system feeders. The resilience assessment showed that for structural connectivity, larger distribution networks are less resilient, while for electricity delivery, a set of features, related with the topological and electrical organization of such networks, seems to be associated with the network service resilience, such information is useful for system planning and management. The dynamics evaluated in this study are relevant to vulnerability and resilience of such systems, and also to other critical infrastructures. Moreover, the developed approaches can be applied to other systems, as transportation and water distribution. In future studies, other power distribution systems features, as distributed generation and energy storage, will be considered in both, vulnerability and resilience analysis.
Nossa 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.
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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.

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Electrical Engineering
Ph.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
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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.

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Cette thèse présente un modèle résilient pour piloter un avion basé sur une logique non monotone. Ce modèle est capable de gérer des solutions à partir d’informations incomplètes, contradictoires et des exceptions. C’est un problème très connu en Intelligence Artificial, qui est étudié depuis plus de 40 ans. Pour ce faire, nous utilisons la logique des défauts pour formaliser la situation et trouver des conclusions possibles. Grâce à cette logique, nous pouvons transformer les règles de pilotage en défauts. Ensuite, lorsque nous calculons les solutions, plusieurs options peuvent en résulter. À ce stade, il existe un critère de décision opportuniste pour choisir la meilleure solution. Le contrôle du système se fait via la propriété de résilience. Nous redéfinissons cette propriété comme l’intégration de la logique non monotone dans le modèle de Minsky. En conséquence, il est démontré que le modèle de résilience proposé pourrait être généralisé aux systèmes intégrant une connaissance du monde contenant des situations, des objectifs et des actions. Enfin, nous présentons les résultats expérimentaux et la conclusion de la thèse en discutant des perspectives et des défis pour les orientations futures. Différentes applications dans d’autres domaines sont prises en compte pour l’intérêt du comportement du modèle
This 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
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Zounon, Mawussi. "On numerical resilience in linear algebra." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0038/document.

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Comme la puissance de calcul des systèmes de calcul haute performance continue de croître, en utilisant un grand nombre de cœurs CPU ou d’unités de calcul spécialisées, les applications hautes performances destinées à la résolution des problèmes de très grande échelle sont de plus en plus sujettes à des pannes. En conséquence, la communauté de calcul haute performance a proposé de nombreuses contributions pour concevoir des applications tolérantes aux pannes. Cette étude porte sur une nouvelle classe d’algorithmes numériques de tolérance aux pannes au niveau de l’application qui ne nécessite pas de ressources supplémentaires, à savoir, des unités de calcul ou du temps de calcul additionnel, en l’absence de pannes. En supposant qu’un mécanisme distinct assure la détection des pannes, nous proposons des algorithmes numériques pour extraire des informations pertinentes à partir des données disponibles après une pannes. Après l’extraction de données, les données critiques manquantes sont régénérées grâce à des stratégies d’interpolation pour constituer des informations pertinentes pour redémarrer numériquement l’algorithme. Nous avons conçu ces méthodes appelées techniques d’Interpolation-restart pour des problèmes d’algèbre linéaire numérique tels que la résolution de systèmes linéaires ou des problèmes aux valeurs propres qui sont indispensables dans de nombreux noyaux scientifiques et applications d’ingénierie. La résolution de ces problèmes est souvent la partie dominante; en termes de temps de calcul, des applications scientifiques. Dans le cadre solveurs linéaires du sous-espace de Krylov, les entrées perdues de l’itération sont interpolées en utilisant les entrées disponibles sur les nœuds encore disponibles pour définir une nouvelle estimation de la solution initiale avant de redémarrer la méthode de Krylov. En particulier, nous considérons deux politiques d’interpolation qui préservent les propriétés numériques clés de solveurs linéaires bien connus, à savoir la décroissance monotone de la norme-A de l’erreur du gradient conjugué ou la décroissance monotone de la norme résiduelle de GMRES. Nous avons évalué l’impact du taux de pannes et l’impact de la quantité de données perdues sur la robustesse des stratégies de résilience conçues. Les expériences ont montré que nos stratégies numériques sont robustes même en présence de grandes fréquences de pannes, et de perte de grand volume de données. Dans le but de concevoir des solveurs résilients de résolution de problèmes aux valeurs propres, nous avons modifié les stratégies d’interpolation conçues pour les systèmes linéaires. Nous avons revisité les méthodes itératives de l’état de l’art pour la résolution des problèmes de valeurs propres creux à la lumière des stratégies d’Interpolation-restart. Pour chaque méthode considérée, nous avons adapté les stratégies d’Interpolation-restart pour régénérer autant d’informations spectrale que possible. Afin d’évaluer la performance de nos stratégies numériques, nous avons considéré un solveur parallèle hybride (direct/itérative) pleinement fonctionnel nommé MaPHyS pour la résolution des systèmes linéaires creux, et nous proposons des solutions numériques pour concevoir une version tolérante aux pannes du solveur. Le solveur étant hybride, nous nous concentrons dans cette étude sur l’étape de résolution itérative, qui est souvent l’étape dominante dans la pratique. Les solutions numériques proposées comportent deux volets. A chaque fois que cela est possible, nous exploitons la redondance de données entre les processus du solveur pour effectuer une régénération exacte des données en faisant des copies astucieuses dans les processus. D’autre part, les données perdues qui ne sont plus disponibles sur aucun processus sont régénérées grâce à un mécanisme d’interpolation
As 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
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Books on the topic "Power systems resilience"

1

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.

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Afgan, Naim. Sustainable resilience of energy systems. New York: Nova Science Publishers, 2010.

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Afgan, Naim. Sustainable resilience of energy systems. Hauppauge, N.Y: Nova Science Publishers, 2010.

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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.

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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.

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(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.

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Bizon, Nicu, Naser Mahdavi Tabatabaei, and Sajad Najafi Ravadanegh. Power Systems Resilience: Modeling, Analysis and Practice. Springer, 2018.

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Bizon, Nicu, Naser Mahdavi Tabatabaei, and Sajad Najafi Ravadanegh. Power Systems Resilience: Modeling, Analysis and Practice. Springer, 2018.

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National Academies of Sciences, Engineering, and Medicine. Enhancing the Resilience of the Nation's Electricity System. National Academies Press, 2017.

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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.

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Book chapters on the topic "Power systems resilience"

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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.

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Andrei, 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.

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Salyani, 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.

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Najafi 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.

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Andrei, 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.

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Mihalache, 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.

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Enescu, 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.

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Ursu, 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.

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Kabalci, 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.

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Shayeghi, 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.

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Conference papers on the topic "Power systems resilience"

1

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.

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The resilience of the built environment to high explosives poses a significant challenge to the professionals tasked with the design of blast resistant facilities. Current standards — including the ASCE 59-11 and CSA S850-12 — fail to address this challenge in design provisions targeting a single parameter of structural performance, while neglecting other key indicators of performance recovery that define the very concept of resilience. In order to investigate their significance in the design process, two resilience parameters known as robustness and rapidity are evaluated for an archetype blast scenario — a nuclear power plant (NPP) featuring reinforced concrete block masonry walls exposed to a blast hazard, namely, the detonation of an explosive charge within an open (outdoor) area of the industrial complex. The adopted methodology integrates resilience–based analysis and probabilistic risk assessment, in order to account for the uncertainties associated with threat (attack likelihood); hazard (attacker’s success likelihood); load input variables — including location, mass, and type of explosive; resistance variables — including material properties and wall geometry; and loss variables — including the costs of repair and replacement. Based on the current analysis, recommendations are made to incorporate resilience metrics in standards for blast protection, so as to foster more resilient industrial facilities.
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Lakins, 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.

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Hasan, 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.

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Jayasuriya, 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.

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Galiardi, 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.

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Abstract Aging plants, efficiency goals, and safety needs are driving increased digitalization in nuclear power plants (NPP). Security has always been a key design consideration for NPP architectures, but increased digitalization and the emergence of malware such as Stuxnet, CRASHOVERRIDE, and TRITON that specifically target industrial control systems have heightened concerns about the susceptibility of NPPs to cyber attacks. The cyber security community has come to realize the impossibility of guaranteeing the security of these plants with 100% certainty, so demand for including resilience in NPP architectures is increasing. Whereas cyber security design features often focus on preventing access by cyber threats and ensuring confidentiality, integrity, and availability (CIA) of control systems, cyber resilience design features complement security features by limiting damage, enabling continued operations, and facilitating a rapid recovery from the attack in the event control systems are compromised. This paper introduces the REsilience VeRification UNit (RevRun) toolset, a software platform that was prototyped to support cyber resilience analysis of NPP architectures. Researchers at Sandia National Laboratories have recently developed models of NPP control and SCADA systems using the SCEPTRE platform. SCEPTRE integrates simulation, virtual hardware, software, and actual hardware to model the operation of cyber-physical systems. RevRun can be used to extract data from SCEPTRE experiments and to process that data to produce quantitative resilience metrics of the NPP architecture modeled in SCEPTRE. This paper details how RevRun calculates these metrics in a customizable, repeatable, and automated fashion that limits the burden placed upon the analyst. This paper describes RevRun’s application and use in the context of a hypothetical attack on an NPP control system. The use case specifies the control system and a series of attacks and explores the resilience of the system to the attacks. The use case further shows how to configure RevRun to run experiments, how resilience metrics are calculated, and how the resilience metrics and RevRun tool can be used to conduct the related resilience analysis.
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Villamarin-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.

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Wu, 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.

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Vaagensmith, 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.

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Tamimi, 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.

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Snyder, 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.

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Reports on the topic "Power systems resilience"

1

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.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
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Bent, Russell Whitford. Resilient Power Systems. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1172828.

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Chalishazar, 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.

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Vugrin, 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.

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Baik, 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.

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Campos 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.

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LaCommare, 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.

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Maiangwa, Benjamin. Peace (Re)building Initiatives: Insights from Southern Kaduna, Nigeria. RESOLVE Network, September 2021. http://dx.doi.org/10.37805/pn2021.22.lpbi.

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Violent conflicts and crime have reached new heights in Nigeria, as cases of kidnapping, armed banditry, and communal unrests continue to tear at the core of the ethnoreligious divides in the country. Southern Kaduna has witnessed a virulent spree of communal unrest in northern Nigeria over the last decade due to its polarized politics and power differentials between the various groups in the area, particularly the Christians and Muslims, who are almost evenly split. In response to their experiences of violence, the people of that region have also shown incredible resilience and grit in transforming their stress and suffering. This policy note focuses on the transformative practices of the Fulani and other ethnic communities in southern Kaduna in terms of how they problem-solve deep-seated socio-political rivalries and violent relations by working through their shared identity, history, and cultures of peace. The note explores how peace practitioners and donor agencies could consolidate local practices of sustaining peace as complementary or alternative resources to the state’s liberal system.
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Bedford, 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.

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Flooding is a major source of concern for Texas’ coastal communities. It affects the quality of infrastructure, the lives of citizens, and the ecological systems upon which coastal communities in Texas rely. To plan for and mitigate the impacts of flooding, Texas coastal communities may implement land use tools such as zoning, drainage utility systems, eminent domain, exactions, and easements. Additionally, these communities can benefit from understanding how flooding affects water quality and the tools available to restore water bodies to healthy water quality levels. Finally, implementing additional programs for education and ecotourism will help citizens develop knowledge of the impacts of flooding and ways to plan and mitigate for coastal flooding. Land use tools can help communities plan for and mitigate flooding. Section III addresses zoning, a land use tool that most municipalities already utilize to organize development. Zoning can help mitigate flooding, drainage, and water quality issues, which, Texas coastal communities continually battle. Section IV discusses municipal drainage utility systems, which are a mechanism available to municipalities to generate dedicated funds that can help offset costs associated with providing stormwater management. Section V addresses land use and revenue-building tools such as easements, eminent domain, and exactions, which are vital for maintaining existing and new developments in Texas coastal communities. Additionally, Section VI addresses conservation easements, which are a flexible tool that can enhance community resilience through increasing purchase power, establishing protected legal rights, and minimizing hazardous flood impacts. Maintaining good water quality is important for sustaining the diverse ecosystems located within and around Texas coastal communities. Water quality is regulated at the federal level through the Clean Water Act. As discussed in Section VII, the state of Texas is authorized to implement and enforce these regulations by implementing point source and nonpoint source pollutants programs, issuing permits, implementing stormwater discharge programs, collecting water quality data, and setting water quality standards. The state of Texas also assists local communities with implementing restorative programs, such as Watershed Protection Programs, to help local stakeholders restore impaired water bodies. Section VIII addresses ecotourism and how these distinct economic initiatives can help highlight the importance of ecosystem services to local communities. Section VIX discusses the role of education in improving awareness within the community and among visitors, and how making conscious decisions can allow coastal communities to protect their ecosystem and protect against flooding.
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