Relevant bibliographies by topics / Grid modernization

Academic literature on the topic 'Grid modernization'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Grid modernization"

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Taft, Jeffrey D. "Grid Architecture: A Core Discipline for Grid Modernization." IEEE Power and Energy Magazine 17, no. 5 (September 2019): 18–28. http://dx.doi.org/10.1109/mpe.2019.2921739.

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Romero Agüero, Julio, Erik Takayesu, Damir Novosel, and Ralph Masiello. "Grid modernization: challenges and opportunities." Electricity Journal 30, no. 4 (May 2017): 1–6. http://dx.doi.org/10.1016/j.tej.2017.03.008.

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Adib, Soroush, and Alice Stage. "TurnKey Solutions for Grid Modernization." IEEE Power and Energy Magazine 16, no. 2 (March 2018): 32–35. http://dx.doi.org/10.1109/mpe.2018.2811559.

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Nekuda Malik, Jennifer A. "US government works toward grid modernization." MRS Bulletin 42, no. 12 (December 2017): 874–75. http://dx.doi.org/10.1557/mrs.2017.287.

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DeCotis, Paul A. "Grid Modernization Nearing the Tipping Point." Natural Gas & Electricity 34, no. 12 (June 14, 2018): 15–17. http://dx.doi.org/10.1002/gas.22064.

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Zichella, Carl. "DOE Advisory Committee's Grid Modernization Recommendations: Evolving to an Integrated Grid." Electricity Journal 27, no. 10 (December 2014): 64–71. http://dx.doi.org/10.1016/j.tej.2014.11.012.

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Ghofrani, Mahmoud, Andrew Steeble, Christopher Barrett, and Iman Daneshnia. "Survey of Big Data Role in Smart Grids: Definitions, Applications, Challenges, and Solutions." Open Electrical & Electronic Engineering Journal 12, no. 1 (October 24, 2018): 86–97. http://dx.doi.org/10.2174/1874129001812010086.

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Objective:This paper provides a literature review on smart grids and big data. Smart grid refers to technologies used to modernize the energy delivery of traditional power grids, using intelligent devices and big data technologies.Methods:The modernization is performed by deploying equipment such as sensors, smart meters, and communication devices, and by invoking procedures such as real-time data processing and big data analysis. A large volume of data with high velocity and diverse variety are generated in a smart grid environment.Conclusion:This paper presents definitions and background of smart grid and big data. Current studies and research developments of big data application in smart grids are also introduced. Additionally, big data challenges in smart grid systems such as security and data quality are discussed.
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Hong, Tao, Chen Chen, Jianwei Huang, Ning Lu, Le Xie, and Hamidreza Zareipour. "Guest Editorial Big Data Analytics for Grid Modernization." IEEE Transactions on Smart Grid 7, no. 5 (September 2016): 2395–96. http://dx.doi.org/10.1109/tsg.2016.2593358.

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Makholm, Jeff D. "Pursuing Grid Modernization: With a ‘New Regulatory Paradigm’?" Natural Gas & Electricity 36, no. 7 (January 14, 2020): 26–32. http://dx.doi.org/10.1002/gas.22159.

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Matvieieva, Yu. "ROAD MAP ON MODERNIZATION AND DEVELOPMENT OF ENERGY SMART GRID: EUROPEAN EXPERIENCE." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2021, no. 2 (2021): 42–46. http://dx.doi.org/10.21272/1817-9215.2021.2-5.

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Countries around the world are developing roadmaps for the modernization and development of energy networks in order to increase energy and economic efficiency, the introduction of tools for rational energy consumption, improving the reliability, sustainability and quality of electricity. At the same time, special interest is paid to the base of using innovative technologies and renewable energy sources. This article provides a bibliographic review of publications in the field of European experience in developing a roadmap for the modernization and development of energy grids. During the analysis, a selection of papers for 2010-2021 was selected from the Scopus® database, which contains bibliographic information about scientific publications in peer-reviewed journals, books and conferences.With the help of VOSviewer software were identified five clusters of research in the context of forming a roadmap for the modernization and development of energy grids. The first cluster is related to energy efficiency issues. This cluster has the most relationships with other clusters. The cluster contains key concepts such as roadmap, international roadmap technology and Smart Grid technology. The second cluster was formed on the basis of research on different types of energy resources. In the third cluster, most connections are found in terms of «sustainable development». The fourth cluster forms the key concepts related to energy policy and standardization. The fifth cluster includes energy development factors studied by developed countries. In turn, the article identifies the countries that are most interested in the deployment of the road map and the implementation of "Smart Grid" projects. Thus, the most actively studied this issue by such countries as Germany, Denmark, Sweden, Great Britain, Italy, Austria, the Netherlands, France. According to the results of the database of the Center for Joint Research "Smart Electricity Systems and Interoperability", the implemented Smart Grid projects by EU countries were analyzed. The main tasks of the modern energy model are outlined.
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Dissertations / Theses on the topic "Grid modernization"

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Onen, Ahmet. "Model-Based Grid Modernization Economic Evaluation Framework." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/46981.

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A smart grid cost/benefit analysis answers a series of economic questions that address the incremental benefits of each stage or decision point. Each stage of the economic analysis provides information about the incremental benefits of that stage with respect to the previous stage. With this approach stages that provide little or no economic benefits can be identified. In this study there are series of applications,-including quasi-steady state power flows over time-varying loads and costs of service, Monte Carlo simulations, reconfiguration for restoration, and coordinated control - that are used to evaluate the cost-benefits of a series of smart grid investments. In the electric power system planning process, engineers seek to identify the most cost-effective means of serving the load within reliability and power quality criteria. In order to accurately assess the cost of a given project, the feeder losses must be calculated. In the past, the feeder losses were estimated based upon the peak load and a calculated load factor for the year. The cost of these losses would then be calculated based upon an expected, fixed per-kWh generation cost. This dissertation presents a more accurate means of calculating the cost of losses, using hourly feeder load information and time-varying electric energy cost data. The work here attempts to quantify the improvement in high accuracy and presents an example where the economic evaluation of a planning project requires the more accurate loss calculation. Smart grid investments can also affect response to equipment failures where there are two types of responses to consider -blue-sky day and storm. Storm response and power restoration can be very expensive for electric utilities. The deployment of automated switches can benefit the utility by decreasing storm restoration hours. The automated switches also improve system reliably by decreasing customer interruption duration. In this dissertation a Monte Carlo simulation is used to mimic storm equipment failure events, followed by reconfiguration for restoration and power flow evaluations. The Monte Carlo simulation is driven by actual storm statistics taken from 89 different storms, where equipment failure rates are time varying. The customer outage status and durations are examined. Changes in reliability for the system with and without automated switching devices are investigated. Time varying coordinated control of Conservation Voltage Reduction (CVR) is implemented. The coordinated control runs in the control center and makes use of measurements from throughout the system to determine control settings that move the system toward optimum performance as the load varies. The coordinated control provides set points to local controllers. A major difference between the coordinated control and local control is the set points provided by the coordinated control are time varying. Reduction of energy and losses of coordinated control are compared with local control. Also eliminating low voltage problems with coordinated control are addressed. An overall economic study is implemented in the final stage of the work. A series of five evaluations of the economic benefits of smart grid automation investments are investigated. Here benefits that can be quantified in terms of dollar savings are considered here referred to as "hard dollar" benefits. Smart Grid investment evaluations to be considered include investments in improved efficiency, more cost effective use of existing system capacity with automated switches, and coordinated control of capacitor banks and voltage regulators. These Smart Grid evaluations are sequentially ordered, resulting in a series of incremental hard dollar benefits. Hard dollar benefits come from improved efficiency, delaying large capital equipment investments, shortened storm restoration times, and reduced customer energy use. The evaluation shows that when time varying loads are considered in the design, investments in automation can improve performance and significantly lower costs resulting in "hard dollar" savings.
Ph. D.
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Беспала, Наталія Григорівна. "Прогнозування розвитку локальної енергетичної системи енергоспоживання на основі техноценологічного підходу." Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/32152.

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Актуальність теми: напрямки розвитку ЛЕС повинні базуватися на розвитку мережевої інфраструктури і генеруючих потужностей, забезпеченні задоволення довгострокового і середньострокового попиту на електричну енергію і потужність, формуванні стабільних і сприятливих умов для залучення інвестицій в модернізацію мереж. Прогнозування майбутніх показників електроспоживання дозволяє досягти найважливішого принципу формування надійної та ефективної роботи ЛЕС - забезпечення чіткого системного балансу виробництва та споживання енергії. Тому дослідження прогнозування розвитку ЛЕС є досить актуальним під час змін, що відбуваються у країні. Мета дослідження: застосування і адаптація техноценологічного методу для прогнозування обсягів енергоспоживання локальної енергетичної системи. Формування програми модернізації локальної енергетичної системи енергоспоживання. Задачі дослідження: Для досягнення мети було сформульовано такі задачі: - Аналіз напрямків розвитку сучасних локальних та регіональних енергетичних систем; - Визначення технічної політики модернізації ЛЕС; - Прогнозування енергоспоживання ЛЕС за допомогою техноценологіч-ного підходу; - Використання техноценологічного аналізу як розвиток ЛЕС за рахунок використання нового обладнання; - Аналіз заміщення традиційної генерації на гнучку в ЛЕС; - Формування програми модернізації системи енергоспоживання на основі техноценологічного підходу; - Складення програми модернізації системи прогнозування щодо розвитку ЛЕС, як пропозицію для обленерго. Об’єкт дослідження: режими функціонування локальної енергетичної системи, методи керування системою для підвищення її енергетичної ефективності. Предмет дослідження: процеси енергоспоживання локальної енергетичної системи. Наукова новизна одержаних результатів: на основі проведеного аналізу прогнозування розвитку ЛЕС було розроблено програму модернізації системи енергоспоживання на основі техноценологічного підходу, що дало змогу, використати програму модернізації системи як пропозицію для обленерго. На основі проведеного техноценологічного аналізу було побудовано ранговий аналіз енергоспоживання ЛЕС, проведено інтервальне оцінювання результатів аналізу та виявлено елементи ЛЕС з аномальним енергоспоживанням, що дало змогу оцінити потенціал впровадження гнучкої генерації з точки розвитку ЛЕС. Практичне значення роботи: робота має практичне значення при проведенні реконструкції та модернізації ЛЕС використовуючи програму модернізації системи енергоспоживання на основі техноценологічного підходу.
Actuality of theme. The directions of the development of forestry should be based on the development of network infrastructure and generating capacity, ensuring the satisfaction of long-term and medium-term demand for electricity and power, the formation of stable and favorable conditions for attracting investments in modernization of networks. Forecasting of future indicators of electric consumption allows achieving the most important principle of forming a reliable and effective forestry work - providing a clear system balance of production and energy consumption. Therefore, research on forestry development forecasting is very relevant during the changes taking place in the country. The purpose of the study is the application and adaptation of the technocenological method for forecasting the volumes of energy consumption of the local power system. Formation of the program of modernization of the local power system of energy consumption. Tasks of research To achieve the goal, the following tasks were formulated: - Analysis of directions of development of modern local and regional power systems; - Definition of the technical policy of forestry modernization; - Forecasting of forest energy consumption using technocenological approach; - Use of technocenological analysis as forest development through the use of new equipment; - Analysis of replacement of traditional generation to flexible in forest; - Formation of the program of modernization of the system of energy consumption on the basis of technocenological approach; - Completion of the program of modernization of the forecast system for the development of forest, as a proposal for oblenergo. Object of research: operating modes of the local power system, methods of management of the system to increase its energy efficiency. Subject of research: processes of energy consumption of the local power system. Scientific novelty of the obtained results - On the basis of the analysis of forecasting the development of forestry, a program for modernizing the energy consumption system was developed on the basis of the technocenological approach, which made it possible to use the program of modernization of the system as a proposal for the oblenergo. - On the basis of the technocenological analysis, a rank analysis of forest energy consumption was constructed, an interval estimation of the results of the analysis was carried out, and elements of forest with abnormal energy consumption were identified, which made it possible to estimate the potential of introducing a flexible generation from the point of development of forest. The practical significance of the results The work is of practical importance during the reconstruction and modernization of the forest using the program of modernization of the system of energy consumption on the basis of the technocenological approach.
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Books on the topic "Grid modernization"

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Daneshvar, Mohammadreza, Somayeh Asadi, and Behnam Mohammadi-Ivatloo. Grid Modernization ─ Future Energy Network Infrastructure. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64099-6.

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Ghofrani, Mahmoud. Electric Grid Modernization. IntechOpen, 2022.

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Ehlers, Frank, Jos Beurskens, Kay Stefferud, Lothar Dannenberg, and Torsten Faber. Building the Smart Grid: An Implementation Blueprint for Electric Grid Modernization. Wiley & Sons, Incorporated, John, 2023.

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Arora, Krishan, Suman Lata Tripathi, and Sanjeevikumar Padmanaban. Smart Electrical Grid System: Design Principle, Modernization, and Techniques. Taylor & Francis Group, 2022.

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Arora, Krishan, Suman Lata Tripathi, and Sanjeevikumar Padmanaban. Smart Electrical Grid System: Design Principle, Modernization, and Techniques. Taylor & Francis Group, 2022.

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Arora, Krishan, Suman Lata Tripathi, and Sanjeevikumar Padmanaban. Smart Electrical Grid System: Design Principle, Modernization, and Techniques. Taylor & Francis Group, 2022.

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Uluski, Robert, Marcelino Madrigal, and Kwawu Mensan Gaba. Practical Guidance for Defining a Smart Grid Modernization Strategy: The Case of Distribution. World Bank Publications, 2017.

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Daneshvar, Mohammadreza, Behnam Mohammadi-Ivatloo, and Somayeh Asadi. Grid Modernization ─ Future Energy Network Infrastructure: Overview, Uncertainties, Modelling, Optimization, and Analysis. Springer International Publishing AG, 2022.

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Daneshvar, Mohammadreza, Behnam Mohammadi-Ivatloo, and Somayeh Asadi. Grid Modernization ─ Future Energy Network Infrastructure: Overview, Uncertainties, Modelling, Optimization, and Analysis. Springer International Publishing AG, 2021.

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Madrigal, Marcelino, and Robert Uluski, eds. Practical Guidance for Defining a Smart Grid Modernization Strategy: The Case of Distribution. The World Bank, 2015. http://dx.doi.org/10.1596/978-1-4648-0410-6.

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Book chapters on the topic "Grid modernization"

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Reynolds, Matthew, Jackson Cutsor, and Larry E. Erickson. "Electrical Grid Modernization." In Solar Powered Charging Infrastructure for Electric Vehicles, 61–69. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315370002-7.

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Daneshvar, Mohammadreza, Somayeh Asadi, and Behnam Mohammadi-Ivatloo. "Overview of the Grid Modernization and Smart Grids." In Power Systems, 1–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64099-6_1.

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Makarov, A. Y., Y. A. Radygin, G. A. Sharafieva, and O. M. Rostik. "Power Grid Infrastructure Modernization by the Implementation of Smart Grid Technologies." In Innovation and Discovery in Russian Science and Engineering, 81–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75702-5_10.

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Maisto, Salvatore Augusto, Beniamino Di Martino, and Stefania Nacchia. "From Monolith to Cloud Architecture Using Semi-automated Microservices Modernization." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 638–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33509-0_60.

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Jaiswal, Shiva Pujan, Vikas Singh Bhadoria, Ranjeeta Singh, Vivek Shrivastava, and A. Ambikapathy. "Case Study on Modernization of a Micro-Grid and Its Performance Analysis Employing Solar PV Units." In Energy Harvesting, 81–104. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003218760-4.

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Ferney Castillo Garcia, Javier, Ricardo Andres Echeverry Marstinez, Eduardo Francisco Caicedo Bravo, Wilfredo Alfonso Morales, and Juan David Garcia Racines. "Smart Grid Project Planning and Cost/Benefit Evaluation." In Electric Grid Modernization. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.96315.

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The smart grid involves a set of interconnected ecosystems applications (electrical, electronic, computer and communications), so the modernization is needed of information, security and infrastructure systems that monitor, control and manage them are increasingly evident. The upgrading smart grid process is a complex interaction between different alternatives and adequate selection of assessment criteria, where tangible and intangible items must be chosen with little information or with uncertain data. This work presents a framework within the context of the Smart Grid, to provide electric energy companies with a tool for planning the modernization of their generation, transmission, distribution and marketing systems. The planning of the modernization networks under the smart grid concepts is represented based on Smart Grid Architecture Model (SGAM) reference model. Furthermore, it presents how to integrate a pilot project (Smart Grid information source) into the SGAM reference model, through the identification of key performance indicators defining it. Multi-criteria analysis (MCA) combined with cost/benefit analysis (CBA) concept is explored, providing a novel insight into the approaches used in smart grid research applied at a case study: a distribution grid for rural smart grids.
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Kumar, Kamlesh, and Babu Jaipal. "The Role of Energy Storage with Renewable Electricity Generation." In Electric Grid Modernization. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.96114.

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Renewable energy resource like solar and wind have huge potential to reduce the dependence on fossil fuel, but due to their intermittent nature of output according to variation of season, reliability of grid affected therefore energy storage system become an important part of the of renewable electricity generation system. Pumped hydro energy storage, compressed air energy storage, flywheels, capacitors, and super conducting magnetic storage technologies have been developed, but many of these are limited in their capacity, characteristics and site dependence. Currently battery energy storage system is not much adopted within grid, but with development their density, versatility and efficiency it is observed that BESS- (battery Energy Storage system) will be adopted in large quantity.
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Ghofrani, Mahmoud. "Introductory Chapter: Electric Grid Modernization - Challenges, Solutions, and Opportunities." In Electric Grid Modernization. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104992.

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Mekkanen, Mike. "Advanced Communication and Control Methods for Future Smart Grid." In Electric Grid Modernization. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.96596.

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The reliability of intelligent electronic device (IED) function that ensures a particular disturbance will disconnect as fast enough from the healthy network to mitigate the effect of the fault is directly related to the reliability of the electrical system. This work aims to test the performance and comparison between the developed Light weight IED and different commercial IEDs from different vendor. The developed light weight IEDs are implemented on a microcontroller as well as on an FPGA. The test set-up is implemented by the Hardware-In-the-Loop platform. The simulation platform is OPAL-RT’s eMEGASIM. The results shows the performance of the FPGA to be better than microcontroller and other commercial IEDs when comparing results.
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Daneshvar, Mohammadreza, Behnam Mohammadi-Ivatloo, and Kazem Zare. "Overview of the grid modernization." In Emerging Transactive Energy Technology for Future Modern Energy Networks, 1–21. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-91133-7.00003-x.

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Conference papers on the topic "Grid modernization"

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Basso, Thomas, Sudipta Chakraborty, Andy Hoke, and Michael Coddington. "IEEE 1547 Standards advancing grid modernization." In 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC). IEEE, 2015. http://dx.doi.org/10.1109/pvsc.2015.7356267.

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Kroposki, Benjamin, Paul Skare, Rob Pratt, Tom King, and Abraham Ellis. "Grid Modernization Laboratory Consortium - Testing and Verification." In 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech). IEEE, 2017. http://dx.doi.org/10.1109/greentech.2017.41.

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Elhaffar, Abdelsalam, Naser Tarhuni, and Amer Al-Hinai. "Micro-Grid Educational Laboratory Modernization using IEDs." In 2022 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2022. http://dx.doi.org/10.1109/educon52537.2022.9766474.

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Rose, Allen H., and Jim Blake. "Optical Current Sensors for Electric Power Grid Modernization." In Optics and Photonics for Advanced Energy Technology. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/energy.2009.thb1.

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Meliopoulos, A. P. Sakis, George J. Cokkinides, Renke Huang, Evangelos Polymeneas, and Paul Myrda. "Grid Modernization: Seamless Integration of Protection, Optimization and Control." In 2014 47th Hawaii International Conference on System Sciences (HICSS). IEEE, 2014. http://dx.doi.org/10.1109/hicss.2014.309.

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Mylrea, Michael, and Sri Nikhil Gupta Gourisetti. "Blockchain: A path to grid modernization and cyber resiliency." In 2017 North American Power Symposium (NAPS). IEEE, 2017. http://dx.doi.org/10.1109/naps.2017.8107313.

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Pan, Jiuping, Reynaldo Nuqui, Lisa Qi, Anil Kondabathini, Regina-GuoFang Gao, Hongbo Jiang, and Magnus Callavik. "Urban Power Grid Enhancement and Modernization with VSC-HVDC Interties." In 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). IEEE, 2020. http://dx.doi.org/10.1109/td39804.2020.9299990.

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Dazahra, Mohamed Nouh, Faissal Elmariami, Abdelaziz Belfqih, Jamal Boukherouaa, Nazha Cherkaoui, and Anass Lekbich. "Modernization and Optimization of Traditional Substations for Integration in Smart Grid." In 2017 International Renewable and Sustainable Energy Conference (IRSEC). IEEE, 2017. http://dx.doi.org/10.1109/irsec.2017.8477385.

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Lave, Matthew, and Rob Hovsapian. "gridPULSE: Public User Library for Systems Evaluation to Accelerate Grid Modernization." In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). IEEE, 2018. http://dx.doi.org/10.1109/pvsc.2018.8547427.

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Kaainoa, Carina E., and Sandra E. Jenkins. "Foundational Challenges and Opportunities with Turning Data into Information for Grid Modernization." In 2019 International Energy and Sustainability Conference (IESC). IEEE, 2019. http://dx.doi.org/10.1109/iesc47067.2019.8976771.

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Reports on the topic "Grid modernization"

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Markiewicz, Daniel R. FINAL REPORT - CENTER FOR GRID MODERNIZATION. Office of Scientific and Technical Information (OSTI), June 2008. http://dx.doi.org/10.2172/991233.

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Anderson, David, Sumitrra Ganguli, Alan Cooke, and Madison Moore. Grid Modernization: Metrics Analysis (GMLC1.1) - Affordability. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1804671.

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Wang, Jianhui. Foundational Report Series. Advanced Distribution management Systems for Grid Modernization (Importance of DMS for Distribution Grid Modernization). Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1224218.

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Taft, Jeffrey D., and Paul De Martini. Sensing and Measurement Architecture for Grid Modernization. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1245899.

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Bent, Russell Whitford. Grid Modernization Initiative Peer Review Extreme Event Modeling 1.4.17. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1471305.

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Graham, Robert L., Julieta Francis, and Richard J. Bogacz. Challenges and Opportunities of Grid Modernization and Electric Transportation. Office of Scientific and Technical Information (OSTI), March 2017. http://dx.doi.org/10.2172/1414811.

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Markel, Larry, Stanton Hadley, Patrick O'Connor, and Amy Wolfe. A Valuation Framework for Informing Grid Modernization Decisions: Summary. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1760154.

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Markel, Larry, Stanton Hadley, Patrick O'Connor, and Amy Wolfe. A Valuation Framework for Informing Grid Modernization Decisions: Guidelines. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1760155.

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Wang, Jianhui. Foundational Report Series: Advanced Distribution Management Systems for Grid Modernization. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1227398.

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Orrell, Alice C., Juliet S. Homer, Sadie R. Bender, and Mark R. Weimar. Energy Policy Case Study - Texas: Wind, Markets, and Grid Modernization. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1367391.

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