Journal articles: '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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Cheng, Jiaxu, Wenqing Li, and Haolan Li. "Research on the Function and Orientation of State-owned Power Grid Enterprises Serving the Modernization of National Governance." SHS Web of Conferences 154 (2023): 01022. http://dx.doi.org/10.1051/shsconf/202315401022.

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The modernization of national governance system requires State-owned power grid enterprises to fully fulfil the three major responsibilities of politics, economy and society. This paper discusses the specific roles that the power grid enterprises should play in the modernization of national governance. It is to help build a modern economic system, promote the construction of a clean, low-carbon, safe and efficient energy system, ensure and improve people's livelihood, and support government governance.

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Zhurakhivskyi, A. V., Z. M. Bakhor, A. Ya Yatseiko, and V. H. Hapanovych. "Formation of a Strategy for Increasing the Efficiency of Operation of Distribution Electrical Grids at the Stage of Pre-Design Works." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 62, no. 2 (April 4, 2019): 155–67. http://dx.doi.org/10.21122/1029-7448-2019-62-2-155-167.

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The main criterions to assess the quality of operation of distribution electrical grids are considered. It is shown that in power supply companies as early as at the pre-design formation of the strategy of modernization and reconstruction of electrical grids, it is necessary to choose the optimal measures for each mainline with a clear sequence of implementation of the selected measures in the electrical grid taking into account prospects of its development. A mathematical model of the classification of mainlines of distribution electrical grids has been developed according to the state of their operation, viz. successful operation, strenuous operation and unacceptable operation. On the basis of this model an algorithm for a choice of the optimal technical measures for the reconstruction of mainlines has been formed depending on their state: for mainlines in the strenuous state it is possible to replace the wire of the section or an installation of a battery of statistical capacitors at the remote transformer substations; for mainlines in the unacceptable state, in accordance with the results of an expert assessment of possible measures taking into account the electrical grid development, the prospects of increase of the load, the construction of unloading points, the connection to the distributed generation electrical grid, a decision is being made to replace the wire section, to transform a part or the whole electrical grid to higher voltage level. This allows formalizing the procedure for the choice and implementation the outlined measures as early as at the stage of pre-design formation of the modernization and reconstruction strategy so to provide an efficient use of funds for the reconstruction and technical retooling of distribution electrical grids in order to improve the quality of their operation. The mathematical model and the algorithm for the choice of the optimal technical measure for the reconstruction of the mainline taking into account the prospects for development that had been developed was tested during the development of the optimal strategy for the development of 6–10 kV distribution electrical grids in the Western region of Ukraine.

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Miller, Theresa, Andrew Sams, and Will Ludlow. "Lessons Learned in Applying Benefit–Cost Analysis to Grid Modernization." Climate and Energy 37, no. 11 (May 17, 2021): 1–13. http://dx.doi.org/10.1002/gas.22231.

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Khalid, Saba, Jeanne Tong, and Kojo Sefah. "The Case for Rural Grid Modernization and the Path Forward." Climate and Energy 37, no. 5 (November 16, 2020): 1–11. http://dx.doi.org/10.1002/gas.22201.

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Benysek, G., M. Kazmierkowski, J. Popczyk, and R. Strzelecki. "Power electronic systems as a crucial part of Smart Grid infrastructure - a survey." Bulletin of the Polish Academy of Sciences: Technical Sciences 59, no. 4 (December 1, 2011): 455–73. http://dx.doi.org/10.2478/v10175-011-0058-2.

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Power electronic systems as a crucial part of Smart Grid infrastructure - a surveyThis article gives a tutorial overview of the most important issues related to the use of power electronic systems in power engineering, with respect to the urgent need for modernization of existing grids in the direction of intelligent networks. The main problems and conditions bound up with the construction of Smart Grids and the location, as well as functioning in them of the most important power electronic systems are presented here. Special attention is directed therein to the potential possibilities of so-called ‘smart’ transformers and V2G and V2H technologies.

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Ponnusamy, Vinoth Kumar, Padmanathan Kasinathan, Rajvikram Madurai Elavarasan, Vinoth Ramanathan, Ranjith Kumar Anandan, Umashankar Subramaniam, Aritra Ghosh, and Eklas Hossain. "A Comprehensive Review on Sustainable Aspects of Big Data Analytics for the Smart Grid." Sustainability 13, no. 23 (December 1, 2021): 13322. http://dx.doi.org/10.3390/su132313322.

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The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs) through the enhancement and modernization of energy generation and management practices. The smart grid enables efficient communication between utilities and the end- users, and enhances the user experience by monitoring and controlling the energy transmission. The smart grid deals with an enormous amount of energy data, and the absence of proper techniques for data collection, processing, monitoring and decision-making ultimately makes the system ineffective. Big data analytics, in association with the smart grid, enable better grid visualization and contribute toward the attainment of sustainability. The current research work deals with the achievement of sustainability in the smart grid and efficient data management using big data analytics, that has social, economic, technical and political impacts. This study provides clear insights into energy data generated in the grid and the possibilities of energy theft affecting the sustainable future. The paper provides insights about the importance of big data analytics, with their effects on the smart grids’ performance towards the achievement of SDGs. The work highlights efficient real-time energy data management involving artificial intelligence and machine learning for a better future, to short out the effects of the conventional smart grid without big data analytics. Finally, the work discusses the challenges and future directions to improve smart grid technologies with big data analytics in action.

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Tan, Don. "Energy Challenge, Power Electronics & Systems (PEAS) Technology and Grid Modernization." CPSS Transactions on Power Electronics and Applications 2, no. 1 (March 2017): 3–11. http://dx.doi.org/10.24295/cpsstpea.2017.00002.

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Lee, Wei-Jen. "Workforce Development to Meet the Need for Grid Modernization [President’s Message]." IEEE Industry Applications Magazine 28, no. 5 (September 2022): 5–6. http://dx.doi.org/10.1109/mias.2022.3182523.

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Romero Aguero, Julio, and Amin Khodaei. "Grid Modernization, DER Integration & Utility Business Models - Trends & Challenges." IEEE Power and Energy Magazine 16, no. 2 (March 2018): 112–21. http://dx.doi.org/10.1109/mpe.2018.2811817.

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Asano, Marc. "Hawai'i's Grid Architecture for High Renewables: Developing the State's Modernization Strategy." IEEE Power and Energy Magazine 17, no. 5 (September 2019): 40–46. http://dx.doi.org/10.1109/mpe.2019.2921741.

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Saher, L., I. Vakulenko, and S. Kolosok. "OPTIMIZATION OF THE ENERGY SYSTEM AS AN INTEGRAL COMPONENT OF THE DEVELOPMENT OF THE UKRAINE’S INCLUSIVE ECONOMY." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2021, no. 4 (2021): 9–14. http://dx.doi.org/10.21272/1817-9215.2021.4-1.

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Ukraine's modern energy is facing global challenges, the future of the country's economy and, consequently, its social sector depends on its ability to respond. High energy intensity of GDP and still high share of production using outdated energy technologies and production processes hinders the economic development of the country and has an extremely negative impact on the competitiveness of the economy. The use of modern energy-efficient technologies increases the productivity of the energy network, and organizational and economic forms of attracting energy consumers to the energy system contributes to their rapid spread. Smart grids combine both components: energy efficient technologies and various forms of consumer involvement in power grid management. That is why the development of smart grids is a priority in Ukraine's energy sector, which requires modernization not only of the energy infrastructure of companies in the energy sector of Ukraine, but also modernization of equipment and processes in enterprises of all sectors. Power grid optimization in the scientific and scientific-practical literature is used to denote activities with the use of technical and technological measures and tools to regulate the load on the network and bring it to optimal technical parameters. However, this article focuses on organizational and economic approaches to power grid optimization. In particular, mechanisms and measures to support renewable energy as part of a smart energy network, which contributes to the optimization of processes in the energy system, forms and maintains market mechanisms through which users are involved in more active participation in the energy system. The article considers the indicators that characterize the current progress in the development of renewable energy in Ukraine, as well as the existing measures implemented for this purpose in the context of technically achievable potential for energy production from renewable energy sources and alternative fuels.

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Shahidehpour, M., and M. Fotuhi-Friuzabad. "Grid modernization for enhancing the resilience, reliability, economics, sustainability, and security of electricity grid in an uncertain environment." Scientia Iranica 23, no. 6 (October 1, 2016): 2862–73. http://dx.doi.org/10.24200/sci.2016.3995.

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Sidwall, Kati, and Paul Forsyth. "Advancements in Real-Time Simulation for the Validation of Grid Modernization Technologies." Energies 13, no. 16 (August 7, 2020): 4036. http://dx.doi.org/10.3390/en13164036.

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Real-time simulation and hardware-in-the-loop testing have increased in popularity as grid modernization has become more widespread. As the power system has undergone an evolution in the types of generator and load deployed on the system, the penetration and capabilities of automation and monitoring systems, and the structure of the energy market, a corresponding evolution has taken place in the way we model and test power system behavior and equipment. Consequently, emerging requirements for real-time simulators are very high when it comes to simulation fidelity, interfacing options, and ease of use. Ongoing advancements from a processing hardware, graphical user interface, and power system modelling perspective have enabled utilities, manufacturers, educational and research institutions, and consultants to apply real-time simulation to grid modernization projects. This paper summarizes various recent advancements from a particular simulator manufacturer, RTDS Technologies Inc. Many of these advancements have been enabled by growth in the high-performance processing space and the emerging availability of high-end processors for embedded designs. Others have been initiated or supported by developer participation in power industry working groups and study committees.

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Al-Rubaye, Saba, and Jocelyn Aulin. "Grid Modernization Enabled by SDN Controllers: Leveraging Interoperability for Accessing Unlicensed Band." IEEE Wireless Communications 24, no. 5 (October 2017): 60–67. http://dx.doi.org/10.1109/mwc.2017.1700089.

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Paaso, Aleksi, Daniel Kushner, Shay Bahramirad, and Amin Khodaei. "Grid Modernization Is Paving the Way for Building Smarter Cities [Technology Leaders]." IEEE Electrification Magazine 6, no. 2 (June 2018): 6–108. http://dx.doi.org/10.1109/mele.2018.2816848.

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Nagasaka, Ken. "Development and Current State of Smart Grids: A Review." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 1 (January 20, 2017): 49–58. http://dx.doi.org/10.20965/jaciii.2017.p0049.

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Smart grids are an important component of the modernization of the power industry worldwide. Many researchers have contributed to their development. At this point, reflection on whether smart grids are being used as was expected and where further investigation is necessary to make them more applicable to the future power industry is warranted. The aim of this paper is to introduce the state of research and path of development of smart grids worldwide. In this investigation, the primary objectives of smart grids, from their inception to the present with changes along the way, are also presented. In addition, difficulties and barriers in their development and implementation and whether these issues are being solved are discussed. Finally, the future and accompanying challenges of smart grids are presented. It should be noted that the current state and development of smart grids is a very deep topic, and it is not possible to mention all the relevant points in a single article. The present review paper attempts to address a limited portion of these to provide an essential understanding of smart grids. Regarding the communication base of a smart grid, only smart meters, some developed communication techniques and smart grid models are presented.

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Cheremisin, Vasily, and Evgeny Tretyakov. "Implementation of the method of adaptive management of electric power transmission in distribution electric networks of railways." MATEC Web of Conferences 239 (2018): 01011. http://dx.doi.org/10.1051/matecconf/201823901011.

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The separation of the electric grid cluster rendering services related to transmission of electric power through electric grids from the railways electric power supply system within the Russian Railways holding will make it possible to proceed with to the modernization of the distribution electric networks of the railways at the expense of the investment component of the tariff. The innovative development of the grid company of the Russian Railways holding company is to be synchronized with its technological indicators with PJSC FGC UES and PJSC Rosseti and is aimed at creating a stable, efficient, flexible and intelligent electric power infrastructure. The aim of the present research is to increase the efficiency of electric power transmission in the distribution electric networks of railways due to the adaptive control of the regulators of the operation mode parameters. The implementation of the method of adaptive control of electric power transmission in distribution electric networks of railways based on the agent approach is presented.

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Pan, Jiuping, Magnus Callavik, Peter Lundberg, and Lidong Zhang. "A Subtransmission Metropolitan Power Grid: Using High-Voltage dc for Enhancement and Modernization." IEEE Power and Energy Magazine 17, no. 3 (May 2019): 94–102. http://dx.doi.org/10.1109/mpe.2019.2896691.

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Ji, Ying, Jianhui Wang, Jiacan Xu, Xiaoke Fang, and Huaguang Zhang. "Real-Time Energy Management of a Microgrid Using Deep Reinforcement Learning." Energies 12, no. 12 (June 15, 2019): 2291. http://dx.doi.org/10.3390/en12122291.

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Driven by the recent advances and applications of smart-grid technologies, our electric power grid is undergoing radical modernization. Microgrid (MG) plays an important role in the course of modernization by providing a flexible way to integrate distributed renewable energy resources (RES) into the power grid. However, distributed RES, such as solar and wind, can be highly intermittent and stochastic. These uncertain resources combined with load demand result in random variations in both the supply and the demand sides, which make it difficult to effectively operate a MG. Focusing on this problem, this paper proposed a novel energy management approach for real-time scheduling of an MG considering the uncertainty of the load demand, renewable energy, and electricity price. Unlike the conventional model-based approaches requiring a predictor to estimate the uncertainty, the proposed solution is learning-based and does not require an explicit model of the uncertainty. Specifically, the MG energy management is modeled as a Markov Decision Process (MDP) with an objective of minimizing the daily operating cost. A deep reinforcement learning (DRL) approach is developed to solve the MDP. In the DRL approach, a deep feedforward neural network is designed to approximate the optimal action-value function, and the deep Q-network (DQN) algorithm is used to train the neural network. The proposed approach takes the state of the MG as inputs, and outputs directly the real-time generation schedules. Finally, using real power-grid data from the California Independent System Operator (CAISO), case studies are carried out to demonstrate the effectiveness of the proposed approach.

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Ren, Huan, Lu Li, Liu Sheng Huang, and Wei Yang. "Privacy-Preserving Mining of Association Rules for Smart Grid." Advanced Materials Research 971-973 (June 2014): 1692–95. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1692.

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The widespread deployment of smart meters for the modernization of the electricity distribution network has been associated with privacy concerns due to the potentially large number of measurements that reflect the consumers’ behavior. At the same time, how to extract important knowledge from the potentially large of measurements — these measurements are spilt among various parties, has already became a hot topic in the field of data mining. In this paper, we present protocols that can be used to compute meter measurements over defined sets of meters without revealing any additional about the individual meter readings, and address secure mining of association rules. Thus, most of the benefits of the smart grid can be achieved without revealing individual data.

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Tauqeer, Haider Ali, Faisal Saeed, Muhammad Hassan Yousuf, Haroon Ahmed, Asad Idrees, Muhammad Haseeb Khan, and Hasan Ertaza Gelani. "Proposed Model of Sustainable Resource Management for Smart Grid Utilization." World Electric Vehicle Journal 12, no. 2 (April 28, 2021): 70. http://dx.doi.org/10.3390/wevj12020070.

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Automation and modernization of the grid with the availability of micro-grids including non-conventional sources of energy are the main constituent of smart grid technology. Most energy demand is fulfilled by fossil fuel-based power plants. Inadequacy of fuel resources, higher operating costs, and ever-increasing carbon emissions are the primary constraints of fossil fuels-operated power plants. Sustainable energy resource utilization in meeting energy demand is thought to be a preferred solution for reducing carbon emissions and is also a sustainable economic solution. This research effort discusses an accurate mathematical modeling and simulation implementation of a sustainable energy resource model powered by solar, grid, and proton exchange membrane fuel cell (PEMFC) stack and focuses on the energy management of the model. In the proposed model, despite energy resources being sustainable, consumer side sustainability is achieved by using electrical charging vehicles (ECVs) to be integrated with sustainable resources. The proposed energy resource management (ERM) strategy is evaluated by simulating different operating conditions with and without distributed energy resources exhibiting the effectiveness of the proposed model. PEMFC is incorporated in the model to control fluctuations that have been synchronized with other energy resources for the distribution feeder line. In this proposed model, PEMFC is synchronized with grid and solar energy sources for both DC and AC load with ERM of all sources, making the system effective and reliable for consumer-based load and ECVs utilization.

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GORBUNOVA, MARINA I. "FUNCTIONING OF THE SMART GRID SYSTEM AT MODERNIZATION OF ELECTRIC NETWORKS WITH THE INTRODUCTION OF INTELLIGENT ACCOUNTING DEVICES." INTERNATIONAL TECHNICAL-ECONOMIC JOURNAL 5 (2019): 23–29. http://dx.doi.org/10.34286/1995-4646-2019-68-5-23-29.

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Sharma, Navonita, and Ajoy Kumar Chakraborty. "Implementation of Dynamic Controls for Grid-Tied-Inverters through Next-Generation Smart Meters and Its Application in Modernized Grid." Energies 15, no. 3 (January 28, 2022): 988. http://dx.doi.org/10.3390/en15030988.

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In this paper, an introduction and comprehensive analysis have been presented for the implementation and application of modern smart meters which include Unbundled Smart Meters (USM) and Next-Generation Open Real-Time Smart Meters (NORM). This article also contributes to methods through which USM and NORM could provide a better perspective to the already available technologies for grid-tied-inverter controlled feeding renewables to the grid. The research proposes a next-generation smart meter model with the feature of a phasor measurement unit. The meter is further integrated with a controller board that controls the power injection from the inverter to the grid based on the real-time data obtained from the smart meter. The inverter is simulated with an open-circuit fault and is controlled to provide non-oscillatory power to the grid based on an instantaneous grid power factor or phase requirement. The proposed meter has the flexibility to add additional features to control the inverter based on other grid requirements such as active and reactive power control, tariff implementation, etc. This manuscript provides the analytical aspects of the use of smart meters in efficient energy management and also addresses the need for smart technologies for grid modernization.

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Rahim, Sahar, and Pierluigi Siano. "A survey and comparison of leading-edge uncertainty handling methods for power grid modernization." Expert Systems with Applications 204 (October 2022): 117590. http://dx.doi.org/10.1016/j.eswa.2022.117590.

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Yuan, Guohui. "Rural Electrification Goes Local: Recent innovations in renewable generation, energy efficiency, and grid modernization." IEEE Electrification Magazine 3, no. 1 (March 2015): 16–24. http://dx.doi.org/10.1109/mele.2014.2380193.

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Nassif, Alexandre B., and Ming Dong. "Characterizing the Effect of Conservation Voltage Reduction on the Hosting Capacity of Inverter-Based Distributed Energy Resources." Electronics 9, no. 9 (September 16, 2020): 1517. http://dx.doi.org/10.3390/electronics9091517.

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The increased adoption of inverter-based distributed energy resources in the form of the mass deployment of renewable generation systems has been a focal goal of many jurisdictions worldwide. Actions taken by local governments have included adapted regulations, financial subsidies, and a variety of grants. This has spurred the proliferation of solar generation among residential customers in virtually all provinces of the United States and Canada. Needless to say, these small generators are interfaced with DC–AC inverters, which have evolved tremendously since the formation of working groups targeting the impact of inverter-based generation on the grid. Among the first rules and standards are California’s ISO Rule 21 and the UL1741 SA, which were published in September 2017. IEEE followed suit in 2018 with the revision of IEEE 1547, inspiring virtually all jurisdictions to either adopt these standards or adapt them as their own variants. Among many features, these standards mandate inverters to be fitted with autonomous performance functions, including the constant power factor, voltage-reactive power (Volt-VAR), voltage-active power (Volt-Watt), and grid support functions, as well as provisions for compatibility with control centers. These functions have been demonstrated to increase the nameplate hosting capacity. At the same time, grid modernization strategies have become more prevalent, one of which is the use of conservation voltage reduction. This grid modernization initiative has a great impact on the hosting capacity. Conversely, the increased penetration of distributed energy resources has a negative effect on the conservation voltage reduction, but surprisingly to only a limited extent. The characterization of these impacts is addressed in this paper, with a focus on a case with very high DER penetration and with very long daily sunlight hours.

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Mera Paz, Julián Andrés, Ramón Fernando Colmenares Quintero, and Gina Paola Maestre Gongora. "A systematic mapping study of micro-grid architectures." Scientia et Technica 24, no. 3 (September 30, 2019): 366–76. http://dx.doi.org/10.22517/23447214.21421.

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Introduction: Generation and energy consumption are a major issue in different countries around the world. Nowadays, projects under development seek the modernization of electric power generation and distribution systems. One of the main strategies is the design of context-adaptable micro-grid architectures. The micro-grid concept focuses on a controlled, monitored and highly autonomous use of electric power supported on information technologies, for the optimization of energy transfer, minimize risks and increase the system’s quality, efficiency and reliability. Goal: This article, therefore, aims to identify, classify and compare different micro-grid architectures, based on their applicability and research trends. Method: A systematic mapping study of micro-grid architectures is conducted to examine the experimental and theoretical contributions made by the scientific community. Results: This article categorizes and quantifies the different studies related to the subject, identifying and analyzing the strengths and opportunities for improvement in the applicability of micro-grid architectures. The trends observed highlight five strategies as the most relevant, whose different characteristics contribute to an automated and intelligent organization of the distribution, control and supervision of electricity according to supply versus demand.

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Zhang, Yan, Chen Zhang, Zhenwei Li, Xubin Wang, Xin Tian, and Xinyang Han. "Research on the development strategy of emergency management system of power grid companies." E3S Web of Conferences 218 (2020): 02039. http://dx.doi.org/10.1051/e3sconf/202021802039.

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In recent years, major emergencies show new trends and characteristics. The reform of the national emergency management system has continued to deepen, and the demand for emergency power supply has continued to increase. Thus it is urgent for the power system company to improve the company’s emergency management system, the ability to deal with urgent, difficult, and difficult tasks. This article analyzes the situation facing the modernization of the company’s emergency system, and puts forward the overall ideas and key measures to support emergency management reform and capacity improvement with the principle of “integration, normalization, socialization”.1

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Lukovenkova, Ol’ga, Yuriy Marapulets, Aleksandr Tristanov, and Alina Kim. "Modernization of adaptive matching pursuit method to analyze geophysical signals of pulse nature." E3S Web of Conferences 62 (2018): 02012. http://dx.doi.org/10.1051/e3sconf/20186202012.

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The paper is devoted to the development and comparison of different numerical methods which increase the adaptive property and improve the accuracy of matching pursuit algorithm in connection to geoacoustic and electromagnetic signals. At each step of adaptive matching pursuit, a function is chosen which has the highest correlation with an initial signal. Then parameters of a chosen function are refined. The refinement is performed by the help of different grid methods and methods based on gradient direction search. The paper considers the peculiarities of application of sparse approximation methods to geophysical signals of pulse nature and compares different variants of modification of adaptive matching pursuit algorithm.

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Gomathinayagam, Muthuselvi, and Saravanan Balasubramanian. "Various demand side management techniques and its role in smart grid–the state of art." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (February 1, 2022): 150. http://dx.doi.org/10.11591/ijece.v12i1.pp150-156.

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The current lifestyle of humanity relies heavily on energy consumption, thus rendering it an inevitable need. An ever-increasing demand for energy has resulted from the increasing population. Most of this demand is met by the traditional sources that continuously deplete and raise significant environmental issues. The existing power structure of developing nations is aging, unstable, and unfeasible, further prolonging the problem. The existing electricity grid is unstable, vulnerable to blackouts and disruption, has high transmission losses, low quality of power, insufficient electricity supply, and discourages distributed energy sources from being incorporated. Mitigating these problems requires a complete redesign of the system of power distribution. The modernization of the electric grid, i.e., the smart grid, is an emerging combination of different technologies designed to bring about the electrical power grid that is changing dramatically. Demand side management (DSM) allow customers to be more involved in contributors to the power systems to achieve system goals by scheduling their shiftable load. Effective DSM systems require the participation of customers in the system that can be done in a fair system. This paper focuses primarily on techniques of DSM and demand responses (DR), including scheduling approaches and strategies for optimal savings.

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J, Archenaa, and E. A. Mary Anitha. "Protection Of Sequence and Communication Technology Equipment Using Smart Grid Application." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (March 1, 2018): 616. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp616-618.

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<p>This paper investigates the merger of energy utility circuits with that of the data and correspondence innovation (ICT) gear under the keen matrix and the security suggestions that this postures, and figures out what is the most extreme voltage that ICT hardware, composed as per IEC 62368-1 can specifically get to control framework circuits. The coming of the keen lattice, the modernization of the power framework utilizing current data and correspondence innovation methods, alongside the expansion of electric vehicle frameworks to the matrix, guarantees to change the business in uncommon manners. In this paper will be utilized as a part of this paper for deciding the level of security of ICT gear must be built to keeping in mind the end goal to be conveyed in higher-voltage application.</p>

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Nechyporenko, Alina, Yevhen Hubarenko, and Maryna Hubarenko. "Topological structure reengineering regional electric power systems." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 2 (May 18, 2022): 49–62. http://dx.doi.org/10.32620/reks.2022.2.04.

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This paper analyses the topology of a regional power system distribution grid. This research improves the efficiency of the electric power system's operation by using upgrading the redesign (reengineering) methods of topological structures within distribution grids. The research object is an electric power system that consists of generation, transmission and distribution parts and requires reengineering. The subject of research is the re-engineering of the topology of the power system distribution grid. To achieve the research purpose, modifications of k-means algorithm as well as the small step algorithm based on the statistical analysis, clustering and minimum spanning tree development methods of Prim and Kraskal are used. The modifications described in this paper allow for optimization of the network based on user needs, properties of the operating grid elements, and other additional constraints for flexibility and generality. Given the varying parameters, this method provides the means to redesign parts of the distribution grid, keeping its certain elements safe from displacement, but also the means to redesign the whole distribution grid, including changes to the number and location of transformer substations and transmission lines. Conclusions. To solve the problem of determining the territorially close groups of consumers in the paper, it was proposed to use the k-means clustering algorithm. This algorithm allows us to divide consumer sets into clusters, so that coordinates of their centres will be recommended as locations of transformer substations. The modernization of the k-means algorithm was proposed by developing procedures for adding and combining clusters using different strategies for determining starting centroids. Based on this, a method for reengineering the topological structures of regional electric power systems in terms of the possibility of their fundamental restructuring was developed. The results of this research may be useful to various enterprises, organizations or institutes dealing with the elaboration or design of electric power system development on the corporate, regional or local level.

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Gao, Yue, Chao Fang, and Jing Zhang. "A Spatial Analysis of Smart Meter Adoptions: Empirical Evidence from the U.S. Data." Sustainability 14, no. 3 (January 19, 2022): 1126. http://dx.doi.org/10.3390/su14031126.

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With the increasing demand on grid modernization for improving environmental sustainability and grid security, the topic of smart meter adoption has attracted much attention, especially with regard to the roles of public policies. However, there is a lack of research investigating the association between the multi-layered government policies and smart meter adoption from a spatial perspective to explain the variant adoption rates across the United States. This study constructs a panel of 48 contiguous U.S. states and the District of Columbia over the period 2007–2019. Using this unique dataset and spatial econometric models, we investigate the impacts of federal and state policies as well as spatial spillover effects of smart meter adoption in the residential sector. Results indicate the following: (1) Smart meter adoption has spatial spillover effects between the adjacent states in a sense that the rate of adoption in one state is positively associated with adoption rates in the neighboring states; (2) federal funding and state-level legislative actions on advanced metering and smart grid have positive impacts on smart meter adoption. These findings provide important implications for the formulation and implementation of public policies for the adoption of a modern electric grid in the U.S.

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Xu, Jie, and Yuan Sheng Huang. "Power Load Forecasting Using Improved Grey-Markov Method." Advanced Materials Research 1006-1007 (August 2014): 976–81. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.976.

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Power load forecasting is an important part of management modernization of power system. Accurate load forecasting can provide reliable guidance for grid operation and power construction planning. For load forecasting "small sample", "poor information", "uncertain", "non-linear" and other features, In this paper, GM (1.1) model was improved in the gray system theory, by constructing the background value sequence to transform the original data, using gray rolling GM (1.1) model and combining Markov prediction model to make power load forecasting. The application results show that this method is accurate and practicable.

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Yan, Yuqiao. "Analysis of the Requirements of Modernization of China's Social Governance System." BCP Social Sciences & Humanities 16 (March 26, 2022): 232–36. http://dx.doi.org/10.54691/bcpssh.v16i.465.

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With the development of the Internet, the social governance model is changing from one-way management to two-way interaction, from offline to online-offline integration, and from simple government supervision to paying more attention to social collaborative governance, which requires the construction of a new pattern of grassroots social governance. Improve the institutionalized channels of mass participation in grass-roots social governance. We will improve the urban and rural grass-roots governance system that combines autonomy, rule of law and rule of virtue under the leadership of party organizations, improve the community management and service mechanism, implement grid management and service, give play to the role of mass organizations and social organizations, give play to the self-discipline function of trade associations and chambers of commerce, realize the benign interaction between government governance and social regulation, and residents' autonomy, and consolidate the foundation of grass-roots social governance. Accelerate the modernization of urban social governance. Promote social governance and service focus to the grassroots level, sink more resources to the grassroots level, and better provide accurate and refined services. Specifically, the requirements for the construction of governance system can be analyzed into four requirements: intelligent governance, participatory governance, municipal governance and media governance.

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Volianyk, Oleksii. "SMART GRID ENERGY CONSERVATION MANAGEMENT BASED ON THE UNIVERSITY'S ENERGY INNOVATION HUB OF KNOWLEDGE." Management 34, no. 2 (January 10, 2022): 90–102. http://dx.doi.org/10.30857/2415-3206.2021.2.8.

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BACKGROUND AND OBJECTIVES. Due to increasing energy costs, as well as strict environmental regulations, there is a growing need for greater resource efficiency, which makes energy-efficient solutions necessary. Thus, the importance of innovations based on technologies designed to save energy, such as the Smart Grid, is increasing. Smart Grid is not just a compilation of smart meters or other electrical devices, it is a series of technologies, a concept of a fully integrated, self-regulating and self-healing power grid, which has a network topology and includes all sources of generation, transmission and distribution, managed by a single network of information and control devices and systems.METHODS. As the main method used was the calculation of the synthetic balance of savings from the use of different types of energy resources by the university after the implementation of the application Smart Grid-energy conservation management on the basis of the university energy-innovation Hub of knowledge.FINDINGS. A mechanism for the implementation of the Smart Grid energy-saving management application on the basis of the university energy-innovation Knowledge Hub is proposed. Smart Grid is designed to provide real-time data on the almost instantaneous balance of energy supply and demand. To ensure grid reliability by reducing peak demands and improving energy efficiency, Smart Grid data management is an affordable and effective tool for data analysis and decision making.CONCLUSION. The results of calculation of the predicted effect of the Smart Grid application implementation for the 4th building of Kyiv National University of Technologies and Design proved that the reduction of installed capacity as a result of the project was 80.5%, i.e. a 1% reduction in capacity creates an economic effect of 0.58% of the costs associated with modernization. Given the current level of electricity consumption, we can predict a potential reduction of 951 thousand UAH per year or almost 50% of the cost of electricity consumed in 2020.

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Shvydka, T., and A. Lozova. "Government regulation of the electricity market: foreign experience and prospects for the modernization of domestic legislation." Uzhhorod National University Herald. Series: Law 1, no. 72 (November 16, 2022): 197–202. http://dx.doi.org/10.24144/2307-3322.2022.72.33.

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The article is devoted to the study of strategic objectives of reforming the electricity market. Electricity is the basic sector of a national economy, the effective functioning of which is a necessary condition for stabilization and structural transformation of the economy and meeting the needs of the population. The efficient functioning of the electricity market is also a component of the state's energy security. The energy industry of Ukraine is an economic guarantee of state sovereignty, an element of good governance, a reliable basis for the sustainable development of a competitive economy and an integral part of the European energy space. non-discriminatory access to the power grid; timely development of the power grid economy in accordance with the needs of the economy; absence of restrictions on electricity transmission.The article analyzes the possibility of applying the experience of foreign countries in regulating the electricity market in order to increase the efficiency of the electricity industry and the competitiveness of Ukraine in the European market. Comparative characterization of foreign and Ukrainian experience of state regulation of the electricity market is a necessary step towards improving the electricity market. Exchange of experience, conclusion of bilateral and multilateral agreements and other major reforms will help bring the national model of regulation in this area to the next level in order to meet the international and European standards. A detailed analysis of the electricity market and the experience of foreign countries was made, some gaps in regulation and legislation were identified, and therefore the need to improve the legislative regulation of the electricity market was revealed. building market relations and establishing healthy competition.

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Kosman, Wojciech, and Andrzej Rusin. "The Application of Molten Salt Energy Storage to Advance the Transition from Coal to Green Energy Power Systems." Energies 13, no. 9 (May 2, 2020): 2222. http://dx.doi.org/10.3390/en13092222.

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The paper presents technical solutions for a power grid that undergoes the elimination of a significant number of coal-based power generating units. The purpose of the solutions is to adapt the existing machines with sufficient lifespans to the new operating conditions. In particular these include steam turbines. The steam turbines’ cycles may be extended with energy storage systems based on a molten salt. This allows to increase the flexibility of the power generating units while maintaining the largest possible efficiency of the power generation. The solutions presented here allow to connect the steam turbines cycles to renewable energy sources and reduce the overall number of the units that create the fundamental layer of the power grid. The analysis of the solutions involves numerical modeling. The paper describes the assumptions and the results of the modeling for chosen cases of the modernization. The researched considered a number of options that differed in the investment costs and the resulting performance.

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Dobreva, P. "Optimization of the Code of the Numerical Magnetosheath-Magnetosphere Model." Journal of Theoretical and Applied Mechanics 43, no. 2 (June 1, 2013): 77–82. http://dx.doi.org/10.2478/jtam-2013-0016.

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Abstract The proposed three dimensional model contains two earlier developed 3D regional numerical models: a grid-characteristic model of the magnetosheath and a finite element model of the magnetosphere. The model output is the distribution of gas-dynamic parameters in the magnetosheath and of magnetic field inside the magnetosphere. The efforts are focused on the modernization of the existing software, written in Fortran, using several techniques for parallel programming such as OpenMP extensions. After analyzing the numerical performance of the model a possible scenario for the code optimization is shown. First results with the improved variant of the model are presented.

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Vinogradov, Aleksandr V., Aleksey V. Bukreyev, Alina V. Vinogradova, and Vadim E. Bol’shev. "Identification of Power Grid Lines with Increased Power Losses Using Mobile Electric Meters and Timers." Elektrotekhnologii i elektrooborudovanie v APK, no. 3 (September 20, 2020): 31–36. http://dx.doi.org/10.22314/2658-4859-2020-67-3-31-36.

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Identifying sections of 0.4 kilovolt power grid lines with increased power losses is an urgent task, the solution of which will free up some of the funds spent by power grid companies to compensate for power losses and direct them to the reconstruction and modernization of electric networks. It is necessary to monitor electricity consumption on sections of power grid lines and on the connections of consumers, and compare data on consumption. Existing devices that analyze the quality of electrical energy and can control current and power in the network, such as power quality analyzers, do not have the full necessary qualities, since they are intended for other purposes, and they are also very expensive. (Research purpose) The research purpose is in developing technical means for identifying sections of 0.4 kilovolt power grid lines with increased power losses, which also allow performing a survey of operating modes of power grid lines. (Materials and methods) The article presents a review of literary sources and an analysis of statistical data. (Results and discussion) The article presents developed technical tools for inspection of power grid lines of 0.4 kilovolts and identification of areas with increased losses of electrical energy, portable single-phase and three-phase electric meter and timer. The single-phase mobile electric meter and timer can be used for the survey of single-phase connections of consumers, three-phase one can be used for the survey of any sections of power lines. Authors also developed a version of the portable electric meter and timer with up to six independent sensors. (Conclusions) It is most rational to use a version of the mobile meter and timer equipped with Wi-Fi data transmission technology to detect power losses on sections of 0.4 kilovolts power grid lines, since in this case simultaneous monitoring of several sections is provided with the possibility of obtaining information from sensors in real time. The data allow to calculate technological and commercial losses on power line sections and draw conclusions about whether they are overstated.

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Journal articles on the topic 'Grid modernization'

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