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1

陶, 占良. « Energy Storage Technologies in Smart Grid ». Smart Grid 05, no 04 (2015) : 155–63. http://dx.doi.org/10.12677/sg.2015.54019.

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Komarnicki, Przemysław. « Energy storage systems : power grid and energy market use cases ». Archives of Electrical Engineering 65, no 3 (1 septembre 2016) : 495–511. http://dx.doi.org/10.1515/aee-2016-0036.

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Abstract Current power grid and market development, characterized by large growth of distributed energy sources in recent years, especially in Europa, are according energy storage systems an increasingly larger field of implementation. Existing storage technologies, e.g. pumped-storage power plants, have to be upgraded and extended by new but not yet commercially viable technologies (e.g. batteries or adiabatic compressed air energy storage) that meet expected demands. Optimal sizing of storage systems and technically and economically optimal operating strategies are the major challenges to the integration of such systems in the future smart grid. This paper surveys firstly the literature on the latest niche applications. Then, potential new use case and operating scenarios for energy storage systems in smart grids, which have been field tested, are presented and discussed and subsequently assessed technically and economically.
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Fu, Qiang, Chengxi Fu, Peng Fu et Yuke Deng. « Energy Storage Technology Used in Smart Grid ». Journal of Physics : Conference Series 2083, no 3 (1 novembre 2021) : 032067. http://dx.doi.org/10.1088/1742-6596/2083/3/032067.

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Abstract Energy storage is one of the main problems bothering the power system. The present research situation of energy storage is outlined. The working principles, development process and technical features of pumped storage, compressed air energy storage, flywheel energy storage, electromagnetic energy storage and chemical energy storage are described in detail. The application prospect of energy storage is proposed.
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Zame, Kenneth K., Christopher A. Brehm, Alex T. Nitica, Christopher L. Richard et Gordon D. Schweitzer III. « Smart grid and energy storage : Policy recommendations ». Renewable and Sustainable Energy Reviews 82 (février 2018) : 1646–54. http://dx.doi.org/10.1016/j.rser.2017.07.011.

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Bento, Fábio Ricardo de Oliveira, et Wanderley Cardoso Celeste. « A methodology for smart grid reconfiguration ». Latin American Journal of Energy Research 4, no 1 (27 août 2017) : 1–9. http://dx.doi.org/10.21712/lajer.2017.v4.n1.p1-9.

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In this work, it is presented a methodology for the reconfiguration of smart grids that is applied to a smart grid formed by two microgrids that can be electrically interconnected in contingency situations. Each microgrid is also connected to an Electric Power System (EPS) when operating in the normal state. Moreover, the smart grid includes energy storage devices (batteries) located at strategic points. Serious faults that isolated the microgrids of the EPS and, moreover, considerably reduced the generation capacity of such microgrids are simulated. The proposed methodology is applied to reconfiguration in scenarios involving cooperation between microgrids and/or the use of energy storage devices. Performance indices are also proposed to enable a quantitative analysis for each scenario. It is shown that intelligent cooperation between microgrids and the smart-use storage energy is the best option for reducing the impacts in a contingency scenarios.
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Salkuti, Surender Reddy. « Challenges, issues and opportunities for the development of smart grid ». International Journal of Electrical and Computer Engineering (IJECE) 10, no 2 (1 avril 2020) : 1179. http://dx.doi.org/10.11591/ijece.v10i2.pp1179-1186.

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The development smart grids have made the power systems planning and operation more efficient by the application of renewable energy resources, electric vehicles, two-way communication, self-healing, consumer engagement, distribution intelligence, etc. The objective of this paper is to present a detailed comprehensive review of challenges, issues and opportunities for the development of smart grid. Smart grids are transforming the traditional way of meeting the electricity demand and providing the way towards an environmentally friendly, reliable and resilient power grid. This paper presents various challenges of smart grid development including interoperability, network communications, demand response, energy storage and distribution grid management. This paper also reviews various issues associated with the development of smart grid. Local, regional, national and global opportunities for the development of smart grid are also reported in this paper.
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Zingales, Antonio. « Smart Storage the Key factor of Energy Transition ». IOP Conference Series : Earth and Environmental Science 1073, no 1 (1 septembre 2022) : 012014. http://dx.doi.org/10.1088/1755-1315/1073/1/012014.

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Abstract When it comes to evaluate the next-gen Energy Transition, it turns out there are so many new elements in the power grid that it’s hard to pick one as the k-factor. There is, however, one grid element that has been getting a great deal of next-gen interest: energy storage because it is the critical element for making wind and solar more grid friendly. Storage can be managed with smart characteristics (Digitally Smart EMS) able to solve problems of the grid, but to become profitable for investors, the local regulatory frame is to be considered. Today in the path to net zero emission, Storage is applied in the range of 1 to 4 h duration, but for the next step (to 70%, 100% RES) Energy Intensive Storage will become more relevant and LDES (Long Duration Energy Storage) will be necessary for the System. Because of this, we can say that Energy Storage System: digitally smart (for managing grid and revenues requirements), with proactive Regulatory frame (transparent for anticipating investment), with LDES option (Long Duration Energy Storage) technologically available – It can really be the key factor of Energy Transition and to drive the Net Zero agenda, see Fig.1.
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Sun, Qiu-ye, Da-shuang Li, En-hui Chu et Yi-bin Zhang. « Grid tie inverter energy stabilizing in smart distribution grid with energy storage ». Journal of Central South University 21, no 6 (juin 2014) : 2298–305. http://dx.doi.org/10.1007/s11771-014-2181-3.

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Fotopoulou, Maria, Dimitrios Rakopoulos et Orestis Blanas. « Day Ahead Optimal Dispatch Schedule in a Smart Grid Containing Distributed Energy Resources and Electric Vehicles ». Sensors 21, no 21 (2 novembre 2021) : 7295. http://dx.doi.org/10.3390/s21217295.

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This paper presents a day ahead optimal dispatch method for smart grids including two-axis tracking photovoltaic (PV) panels, wind turbines (WT), a battery energy storage system (BESS) and electric vehicles (EV), which serve as additional storage systems in vehicle to grid (V2G) mode. The aim of the day ahead schedule is the minimization of fuel-based energy, imported from the main grid. The feasibility of the proposed method lies on the extensive communication network of the smart grids, including sensors and metering devices, that provide valuable information regarding the production of the distributed energy resources (DER), the energy consumption and the behavior of EV users. The day ahead optimal dispatch method is applied on a smart grid in order to showcase its effectiveness in terms of sustainability, full exploitation of DER production and ability of EVs to act as prosumers.
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Barbour, Edward, David Parra, Zeyad Awwad et Marta C. González. « Community energy storage : A smart choice for the smart grid ? » Applied Energy 212 (février 2018) : 489–97. http://dx.doi.org/10.1016/j.apenergy.2017.12.056.

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Zhang, Ru Tong, et Teng Fei Yao. « Energy Model of Electric Vehicle Filling Station ». Advanced Materials Research 608-609 (décembre 2012) : 1618–22. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1618.

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With the increasingly grim world environmental degradation and energy crisis, the industrial development of electric vehicles and charging for electric facilities has risen to national strategy. Based on the introduction of electric vehicle energy supply mode, proposed for power mode is the main push of the State Grid Corporation of business model. The Large-scale construction of electric vehicle filling station presents a challenge to Power grid, but through the application of V2G technology, electric vehicle power battery become smart grid energy storage structure, strengthen the new energy, electric vehicle charging the relationship between the three power stations and smart grid, and accelerate the integration process among the three.
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García, Moisés Antón, Ana Isabel Martínez García, Stylianos Karatzas, Athanasios Chassiakos et Olympia Ageli. « SGAM-Based Analysis for the Capacity Optimization of Smart Grids Utilizing e-Mobility : The Use Case of Booking a Charge Session ». Energies 16, no 5 (6 mars 2023) : 2489. http://dx.doi.org/10.3390/en16052489.

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The description of the functionality of a smart grid’s architectural concept, analyzing different Smart Grid (SG) scenarios without disrupting the smooth operation of the individual processes, is a major challenge. The field of smart energy grids has been increasing in complexity since there are many stakeholder entities with diverse roles. Electric Vehicles (EVs) can transform the stress on the energy grid into an opportunity to act as a flexible asset. Smart charging through an external control system can have benefits for the energy sector, both in grid management and environmental terms. A suitable model for analyzing and visualizing smart grid use cases in a technology-neutral manner is required. This paper presents a flexible architecture for the potential implementation of electromobility as a distributed storage asset for the grid’s capacity optimization by applying the Use Case and Smart Grid Architecture Model (SGAM) methodologies. The use case scenario of booking a charge session through a mobile application, as part of the TwinERGY Horizon 2020 project, is deployed to structure the SGAM framework layers and investigate the applicability of the SGAM framework in the integration of electromobility as a distributed storage asset into electricity grids with the objective of enhanced flexibility and decarbonization.
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Chen, Xiao Hui, San Gao Hu, He Wang et Chang Hai Miao. « Overview of Energy Storage Technology in Smart Grid ». Advanced Materials Research 805-806 (septembre 2013) : 543–46. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.543.

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Energy storage technology is a vital part of smart grid, and it can be utilized for grid-connection of renewable energy generation. In this paper, several kinds of energy storage technologies are introduced. Comparison of advantages and disadvantages of each technology is made, and the trend and development potentiality in China have been elaborated.
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Saponara, Sergio, et Lucian Mihet-Popa. « Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid ». Energies 12, no 4 (19 février 2019) : 663. http://dx.doi.org/10.3390/en12040663.

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The special issue “Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid” on MDPI Energies presents 20 accepted papers, with authors from North and South America, Asia, Europe and Africa, related to the emerging trends in energy storage and power conversion electronic circuits and systems, with a specific focus on transportation electrification and on the evolution of the electric grid to a smart grid. An extensive exploitation of renewable energy sources is foreseen for smart grid as well as a close integration with the energy storage and recharging systems of the electrified transportation era. Innovations at both algorithmic and hardware (i.e., power converters, electric drives, electronic control units (ECU), energy storage modules and charging stations) levels are proposed.
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Hasan, Mohammad Kamrul, Ali Alkhalifah, Shayla Islam, Nissrein B. M. Babiker, A. K. M. Ahasan Habib, Azana Hafizah Mohd Aman et Md Arif Hossain. « Blockchain Technology on Smart Grid, Energy Trading, and Big Data : Security Issues, Challenges, and Recommendations ». Wireless Communications and Mobile Computing 2022 (18 janvier 2022) : 1–26. http://dx.doi.org/10.1155/2022/9065768.

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The smart grid idea was implemented as a modern interpretation of the traditional power grid to find out the most efficient way to combine renewable energy and storage technologies. Throughout this way, big data and the Internet always provide a revolutionary solution for ensuring that electrical energy linked intelligent grid, also known as the energy Internet. The blockchain has some significant features, making it an applicable technology for smart grid standards to solve the security issues and trust challenges. This study will present a rigorous review of blockchain implementations with the cyber security perception and energy data protections in smart grids. As a result, we describe the major security issues of smart grid scenarios that big data and blockchain can solve. Then, we identify a variety of recent blockchain-based research works published in various literature and discuss security concerns on smart grid systems. We also discuss numerous similar practical designs, experiments, and items that have recently been developed. Finally, we go through some of the most important research problems and possible directions for using blockchain to address smart grid security concerns.
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Waschull, Jörg, Roland Müller, Wolfgang Hernschier et Ronny Künanz. « Cold Storage Devices for Smart Grid Integration ». Energy Procedia 46 (2014) : 48–57. http://dx.doi.org/10.1016/j.egypro.2014.01.157.

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Rahmani-Andebili, Mehdi. « Vehicle-for-grid (VfG) : a mobile energy storage in smart grid ». IET Generation, Transmission & ; Distribution 13, no 8 (23 avril 2019) : 1358–68. http://dx.doi.org/10.1049/iet-gtd.2018.5175.

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Merkert, Lennart, Ashvar Haime et Sören Hohmann. « Optimal Scheduling of Combined Heat and Power Generation Units Using the Thermal Inertia of the Connected District Heating Grid as Energy Storage ». Energies 12, no 2 (16 janvier 2019) : 266. http://dx.doi.org/10.3390/en12020266.

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A better integration across sectors is an essential element of 4th generation district heating and smart energy systems allowing to react to volatile renewable energy generation. This sector coupling enables to use more cost-efficient storage as storage prices differ for different forms of energy. Thermal energy for example can be stored in comparably cheap storage tanks. Besides such dedicated storage, the thermal inertia of a heating grid can be used as thermal storage as well. In this paper, a classic unit commitment optimization for scheduling of combined heat and power units not considering grid dynamics is extended to cover thermal dynamics of heating grids. First an outer approximation of the grid storage capabilities is developed. Second, a very efficient formulation for the storage dynamics of a heating grid is introduced and its capabilities are shown in a motivating case study. In this study additional savings of several thousand Euros per day are achieved using the thermal inertia of a heating grid as storage.
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Salkuti, Surender Reddy. « Large scale electricity storage technology options for smart grid ». International Journal of Engineering & ; Technology 7, no 2 (28 avril 2018) : 635. http://dx.doi.org/10.14419/ijet.v7i2.11395.

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This paper aims to establish a comparative analysis between various storage techniques available and to evaluate their current impact as well as potential to be employed more effectively in the future. This paper presents the classification of each storage technique on the basis of features, cost, location, mathematical modelling, advantages and disadvantages. This paper shows the energy storage devices behavior to effectively improve the renewable energy sources connected to the utility grid. The paper also identifies the different storage techniques that can be implemented in to a smart grid and a cost benefit analysis of the different storage techniques. The paper exhaustively reviews the functionality of a major sector of smart grid and energy storage. From this paper, it can be observed that the use of energy storage technologies will increase the supply, and balances the demand for energy.
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Dai, Rui-Cheng, Bi Zhao, Xiao-Di Zhang, Jun-Wei Yu, Bo Fan et Biao Liu. « Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid ». Complexity 2020 (28 octobre 2020) : 1–15. http://dx.doi.org/10.1155/2020/3102729.

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In this research, the joint virtual energy storage modeling with electric vehicle participation in energy local area Smart Grid is considered. This article first constructs a virtual energy storage model and a joint virtual energy storage model for air conditioning and electric vehicles. Therefore, for the optimization problem of virtual energy storage power, a continuous rolling optimization algorithm to determine the feasible solution of the high-dimensional complex constraint optimization problem is proposed to solve the optimization problem. Finally, the analysis, for example, illustrates the economics of joint virtual energy storage in the Smart Grid. The results prove that air conditioning and electric vehicles have the ability to jointly participate in virtual energy storage, and the comparison proves that joint virtual energy storage can effectively improve the economics of electricity consumption.
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Srikanth, T., A. S. Kannan et B. M. Chandra. « Power Quality Enhancement with Involvement of RES and Power Converters in Micro Grids using Metaheuristic Algorithms : A Literature Review ». Asian Journal of Electrical Sciences 9, no 2 (30 mai 2021) : 25–30. http://dx.doi.org/10.51983/ajes-2020.9.2.2553.

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Micro Grids are going to replace the traditional concept of electrical networks in order to satisfy the increasing needs in terms of flexibility, accessibility, reliability, and quality of the power supply. Economy and energy efficiency are the paradigms followed to exploit the available distributed energy resources (DERs), guaranteeing technical and environment-friendly standards. Obviously, the path to Micro Grids is complicated by the increasing heterogeneity of Micro Grid components, such as renewable, storage systems, fossil- fueled generators, and controllable loads [1]. Fortunately, the synergic interaction between DERs and information and communication technologies (ICT) foster the coordination among different infrastructures, promoting the development of Smart Grids at both theoretical and practical levels. The major highlights of utilizing micro grid are the capacity to self-heal from power quality (PQ) issues, efficient energy management, incorporation of automation based on ICT and smart metering, integration of distributed power generation, renewable energy resources, and storage units [2]. The advantages contribute to maintain good PQ and to maintain the reliability. In this regard, the concept of micro grid is brought to the stage as one of the main building blocks of the future smart grids [3].
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El-Azab, Rasha. « Smart homes : potentials and challenges ». Clean Energy 5, no 2 (1 juin 2021) : 302–15. http://dx.doi.org/10.1093/ce/zkab010.

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Abstract Decentralized distributed clean-energy sources have become an essential need for smart grids to reduce the harmful effects of conventional power plants. Smart homes with a suitable sizing process and proper energy-management schemes can share in reducing the whole grid demand and even sell clean energy to the utility. Smart homes have been introduced recently as an alternative solution to classical power-system problems, such as the emissions of thermal plants and blackout hazards due to bulk plants/transmission outages. The appliances, sources and energy storage of smart homes should be coordinated with the requirements of homeowners via a suitable energy-management scheme. Energy-management systems are the main key to optimizing both home sources and the operation of loads to maximize home-economic benefits while keeping a comfortable lifestyle. The intermittent uncertain nature of smart homes may badly affect the whole grid performance. The prospective high penetration of smart homes on a smart power grid will introduce new, unusual scenarios in both generation and loading. In this paper, the main features and requirements of smart homes are defined. This review aims also to address recent proposed smart-home energy-management schemes. Moreover, smart-grid challenges with a high penetration of smart-home power are discussed.
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Salkuti, Surender Reddy. « Electrochemical batteries for smart grid applications ». International Journal of Electrical and Computer Engineering (IJECE) 11, no 3 (1 juin 2021) : 1849. http://dx.doi.org/10.11591/ijece.v11i3.pp1849-1856.

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This paper presents a comprehensive review of current trends in battery energy storage systems, focusing on electrochemical storage technologies for Smart Grid applications. Some of the batteries that are in focus for improvement include Lithium-ion, metal-air, Sodium-based batteries and flow batteries. A descriptive review of these batteries and their sub-types are explained along with their suitable applications. An overview of different types and classification of storage systems has been presented in this paper. It also presents an extensive review on different electrochemical batteries, such as lead-acid battery, lithium-based, nickel-based batteries and sodium-based and flow batteries for the purpose of using in electric vehicles in future trends. This paper is going to explore each of the available storage techniques out there based on various characteristics including cost, impact, maintenance, advantages, disadvantages, and protection and potentially make a recommendation regarding an optimal storage technique.
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Kyrylenko, Olexandr. « Measures and ways of transforming Ukraine's energy sector into an intelligent environmentally friendly system ». Visnik Nacional'noi' academii' nauk Ukrai'ni, no 3 (mars 2022) : 18–23. http://dx.doi.org/10.15407/visn2022.03.018.

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The transition from the dominance of hydrocarbon-based energy sources to low-carbon ones necessitates the transformation of all components of the energy system, the creation of a decentralized energy market, development of smart grids and systems according to the Smart Grid concept combined with the development of technologies and energy storage market and with the formation of active energy consumers.
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Rodrigues, Justino, Carlos Moreira et João Peças Lopes. « Fault-Ride-Through Approach for Grid-Tied Smart Transformers without Local Energy Storage ». Energies 14, no 18 (7 septembre 2021) : 5622. http://dx.doi.org/10.3390/en14185622.

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The Smart Transformer (ST) is being envisioned as the possible backbone of future distribution grids given the enhanced controllability it provides. Moreover, the ST offers DC-link connectivity, making it an attractive solution for the deployment of hybrid AC/DC distribution grids which offer important advantages for the deployment of Renewable Energy Sources, Energy Storage Systems (ESSs) and Electric Vehicles. However, compared to traditional low-frequency magnetic transformers, the ST is inherently more vulnerable to fault disturbances which may force the ST to disconnect in order to protect its power electronic converters, posing important challenges to the hybrid AC/DC grid connected to it. This paper proposes a Fault-Ride-Through (FRT) strategy suited for grid-tied ST with no locally available ESS, which exploits a dump-load and the sensitivity of the hybrid AC/DC distribution grid’s power to voltage and frequency to provide enhanced control to the ST in order to handle AC-side voltage sags. The proposed FRT strategy can exploit all the hybrid AC/DC distribution grid (including the MV DC sub-network) and existing controllable DER resources, providing FRT against balanced and unbalanced faults in the upstream AC grid. The proposed strategy is demonstrated in this paper through computational simulation.
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Madsen, Per Printz. « Energy Storage in Ordinary Houses. A Smart Grid Approach ». IFAC Proceedings Volumes 45, no 21 (2012) : 38–42. http://dx.doi.org/10.3182/20120902-4-fr-2032.00009.

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Alaoui, Chakib. « Thermal management for energy storage system for smart grid ». Journal of Energy Storage 13 (octobre 2017) : 313–24. http://dx.doi.org/10.1016/j.est.2017.07.027.

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Kim, Sunyong, et Hyuk Lim. « Reinforcement Learning Based Energy Management Algorithm for Smart Energy Buildings ». Energies 11, no 8 (2 août 2018) : 2010. http://dx.doi.org/10.3390/en11082010.

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A smart grid facilitates more effective energy management of an electrical grid system. Because both energy consumption and associated building operation costs are increasing rapidly around the world, the need for flexible and cost-effective management of the energy used by buildings in a smart grid environment is increasing. In this paper, we consider an energy management system for a smart energy building connected to an external grid (utility) as well as distributed energy resources including a renewable energy source, energy storage system, and vehicle-to-grid station. First, the energy management system is modeled using a Markov decision process that completely describes the state, action, transition probability, and rewards of the system. Subsequently, a reinforcement-learning-based energy management algorithm is proposed to reduce the operation energy costs of the target smart energy building under unknown future information. The results of numerical simulation based on the data measured in real environments show that the proposed energy management algorithm gradually reduces energy costs via learning processes compared to other random and non-learning-based algorithms.
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Georgakarakos, Andreas D., Martin Mayfield et Elizabeth Abigail Hathway. « Battery Storage Systems in Smart Grid Optimised Buildings ». Energy Procedia 151 (octobre 2018) : 23–30. http://dx.doi.org/10.1016/j.egypro.2018.09.022.

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Salkuti, Surender Reddy. « Performance Analysis Methods in Smart Grids : An Overview ». ECTI Transactions on Electrical Engineering, Electronics, and Communications 16, no 2 (8 février 2018) : 21–29. http://dx.doi.org/10.37936/ecti-eec.2018162.171335.

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This paper presents an overview of the performance analysis methods available for the Smart Grid (SG). Increased energy demand, volatile energy costs, uncertain power generation from the renewable energy resources (RERs), electric vehicles, and environmental concerns are coming together to change the nature of the traditional power grid. Many utility companies are now moving towards the smart metering and the Smart Grid solutions to address these challenges. Smart Grid is inclusive of advance tools, latest communication technologies and storage devices, which makes the Smart Grid vulnerable and complex. This paper aims to review the performance analysis of Smart Grid. It also presents various models of the Smart Grid performance indices. It presents the methods available for stability, reliability and resilience assessment in Smart Grid. It also describes the implementation approach using the real time tools and techniques.
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Silva, Fabio, et Brian O’Regan. « An Innovative Smart Grid Framework for Integration and Trading ». E3S Web of Conferences 294 (2021) : 02007. http://dx.doi.org/10.1051/e3sconf/202129402007.

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Smart Grids (SGs) are at the forefront of the renewable resources transformative change for power generation. Due to its decentralised energy generation approach and potential reduction of the cost of power, its relevance for the energy sector is insurmountable. However, new business models and processes are necessary, and they come with integration, implementation, and operation-specific challenges. This work offers a broad analysis of SG’ main architectural aspects concerning security issues, integration bottlenecks and standardisation shortcomings in the development of an efficient platform for local energy (generation and storage) surplus trading. Through a multi-layered smart grid architecture description, this work develops an in-depth depiction of the interoperability between these layers (from top business layer passing through information and communications layers, and down to generation and storage layers). Therefore, this paper encompasses a comprehensive framework to address central smart grids design aspects and suggests a path to integrate the smart grid components into a cohesive and manageable trading platform. Finally, this work demonstrates how the proposed framework can be applied to real market study cases to highlight its solutions, provide a critical evaluation of potential implementation pitfalls, and identify opportunities for further stateof-the-art research.
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Kong, Chun Yan, Shen Hang Yu et Ying Sun. « Application of Chemical Storage in Smart Grid and Analysis on Loss Reduction ». Advanced Materials Research 236-238 (mai 2011) : 872–75. http://dx.doi.org/10.4028/www.scientific.net/amr.236-238.872.

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Because of the characteristic of highly controllability and modularization, battery energy storage could be widely applied in the distributed renewable energy generation for improving the reliability of power supply and smoothing the load. The paper introduces the chemical energy storage technology especially the flow battery and designs the model of smart grid with the chemical energy storage devices. Then the paper gives the interface circuit between smart grid and energy storage, and simulates an actual distribution network with chemical energy storage device, the result shows that if the energy storage battery with proper capacity was connected to the distribution network at a proper position, it was effective in reducing the line loss.
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Zhu, Jingwei, Michael Z. Q. Chen et Baozhu Du. « A New Pricing Scheme for Controlling Energy Storage Devices in Future Smart Grid ». Journal of Applied Mathematics 2014 (2014) : 1–11. http://dx.doi.org/10.1155/2014/340842.

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Improvement of the overall efficiency of energy infrastructure is one of the main anticipated benefits of the deployment of smart grid technology. Advancement in energy storage technology and two-way communication in the electric network are indispensable components to achieve such a vision, while efficient pricing schemes and appropriate storage management are also essential. In this paper, we propose a universal pricing scheme which permits one to indirectly control the energy storage devices in the grid to achieve a more desirable aggregate demand profile that meets a particular target of the grid operator such as energy generation cost minimization and carbon emission reduction. Such a pricing scheme can potentially be applied to control the behavior of energy storage devices installed for integration of intermittent renewable energy sources that have permission to grid connection and will have broader applications as an increasing number of novel and low-cost energy storage technologies emerge.
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Speckmann, Friedrich-Wilhelm, Max Weeber et Kai Peter Birke. « Techno-Economic Assessment of Hydrogen Usage in a Smart Grid, Employing a Staggered Optimization Algorithm ». E3S Web of Conferences 231 (2021) : 01005. http://dx.doi.org/10.1051/e3sconf/202123101005.

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A sustainable energy economy implies high shares of volatile renewable energy sources and requires the use of energy storage technologies. Hydrogen is a very flexible energy carrier and can be employed as a large-scale energy storage in electric grids. This paper focuses on the integration of hydrogen production, conversion and storage options in a smart grid environment. A process current source (PCS) that functions as a rectifier for an alkaline electrolysis system and is compared to a conventional rectifier structure that is not specifically designed for dynamic operation. All components of the smart grid are scaled using a staggered algorithm that combines a pattern search algorithm and a genetic algorithm. This smart optimization tool shows high flexibility, accuracy and low computing times. The required computing time has been reduced by 56% in contrast to genetic algorithms without the pattern search method. Furthermore, the energy system optimization reduced the alkaline electrolysis below 30% of the initial scale in order to yield lower costs. Therefore, the difference in rectifier performance was reduced to a minor contribution.
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Vasile, Nicolae, Bogdan Tene, Andrei Nedelschi, Nicolae Fidel et Ionuţ Craiu. « AUTONOMY OF ELECTRICAL SYSTEMS. TECHNICAL SOLUTIONS BASED ON STORAGE OF ELECTRIC ENERGY ». Scientific Bulletin of Electrical Engineering Faculty 18, no 1 (1 avril 2018) : 55–58. http://dx.doi.org/10.1515/sbeef-2017-0023.

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Abstract The paper deals with the concept of autonomy of electrical systems, which is becoming more and more present, in the context in which the electric-non-electric relation existing on the market is constantly changing in favor of electricity. The factors influencing this trend come from imposing the principles of Sustainable Development, the exhaustiveness of fossil forms of energy, technological advances in the electrical and electronic components industry and their connection with computers. Evolution of Smart Grid, Smart Grid, Smart City, Smart Building, Smart Transport, etc. provides a global electronic system that will power and control most of the economic activity.
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Zhang, Jun, Wei Chen et Gui Ju Li. « Worldwide Smart Grid Progress and Trends of China ». Advanced Materials Research 805-806 (septembre 2013) : 1093–96. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1093.

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The development of smart grid is essential to achieve goals for energy security, economic development and climate change mitigation, and is treated as emphasis of national strategy in major countries. In this paper, we described the concept of smart grid first, then analyzed the worldwide progress in strategic planning, R&D and deployment of smart grid. Combining with Chinese situation, the future smart grid R&D will focus on: intelligent power electronics equipments, intelligent sensing technologies, renewable integration technologies, energy storage technologies and distributed energy technologies.
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Gajbhiye, Pallavi, Taruna Jain et A. K. Kurchania. « Upgradation of Smart Grid Power Utility with Vehicle-to-Grid Technology By Using Smart Energy Management System ». ECS Transactions 107, no 1 (24 avril 2022) : 1663–72. http://dx.doi.org/10.1149/10701.1663ecst.

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The Smart Grid is a unique manner, needs close collaboration between production, transmission and distribution systems. Earlier greenhouse gases result more sustainable energy systems, which involves solar and wind energy integration into distributed power systems. These renewables make this system further effective, where the new "Smart Grid" idea appears, which offers a two-way communication between the source and load with good power quality throughout the generation. Being reliability a challenge, storage options available but consumes electricity and create significant costs, so electric vehicles with a two-way power transferability (G2V and V2G), as temporary power storage device an alternative. This paper focuses on problems: unloading of grid, vehicles short average life, less vehicles participation rate and to make more durable the entire system. Previously different techniques are implemented but this proposal includes Energy Management System to integrate EV’s with grid to increase power utility according to load demand at different conditions.
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Rajasekharan, Jayaprakash, et Visa Koivunen. « Optimal Energy Consumption Model for Smart Grid Households With Energy Storage ». IEEE Journal of Selected Topics in Signal Processing 8, no 6 (décembre 2014) : 1154–66. http://dx.doi.org/10.1109/jstsp.2014.2361315.

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G. Rajakumar. « Smart Home Energy Monitoring and Energy Reduction Technique ». Journal of Electrical Engineering and Automation 4, no 3 (15 octobre 2022) : 209–19. http://dx.doi.org/10.36548/jeea.2022.3.008.

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The concept of Home Energy Management System (HEMS) is emerged from the development of smart homes, which connect humans and things to automate the manual operations. The smart homes users enjoy secured, pleasant, and autonomously managed lifestyle. Additionally, smart homes have the potential to generate revenue by vending clean and sustainable energy to the grid, thereby saving both energy and money. The proposed method efficiently reschedules and arranges the power flow among grid electricity, storage devices, and photovoltaic models to manage the energy requirements of smart home. Energy-management systems is highly preferred to economic benefits of smart homes while maintaining a comfortable living, maximizing connectivity and developing optimized operation of loads. The proposed system is finally implemented in a simulation environment, and further the obtained outcomes demonstrate the efficiency of the proposed method in terms of energy management from various sources.
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Alotaibi, Ibrahim, Mohammed A. Abido, Muhammad Khalid et Andrey V. Savkin. « A Comprehensive Review of Recent Advances in Smart Grids : A Sustainable Future with Renewable Energy Resources ». Energies 13, no 23 (27 novembre 2020) : 6269. http://dx.doi.org/10.3390/en13236269.

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The smart grid is an unprecedented opportunity to shift the current energy industry into a new era of a modernized network where the power generation, transmission, and distribution are intelligently, responsively, and cooperatively managed through a bi-directional automation system. Although the domains of smart grid applications and technologies vary in functions and forms, they generally share common potentials such as intelligent energy curtailment, efficient integration of Demand Response, Distributed Renewable Generation, and Energy Storage. This paper presents a comprehensive review categorically on the recent advances and previous research developments of the smart grid paradigm over the last two decades. The main intent of the study is to provide an application-focused survey where every category and sub-category herein are thoroughly and independently investigated. The preamble of the paper highlights the concept and the structure of the smart grids. The work presented intensively and extensively reviews the recent advances on the energy data management in smart grids, pricing modalities in a modernized power grid, and the predominant components of the smart grid. The paper thoroughly enumerates the recent advances in the area of network reliability. On the other hand, the reliance on smart cities on advanced communication infrastructure promotes more concerns regarding data integrity. Therefore, the paper dedicates a sub-section to highlight the challenges and the state-of-the-art of cybersecurity. Furthermore, highlighting the emerging developments in the pricing mechanisms concludes the review.
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Shakeri, Mohammad, Jagadeesh Pasupuleti, Nowshad Amin, Md Rokonuzzaman, Foo Wah Low, Chong Tak Yaw, Nilofar Asim et al. « An Overview of the Building Energy Management System Considering the Demand Response Programs, Smart Strategies and Smart Grid ». Energies 13, no 13 (28 juin 2020) : 3299. http://dx.doi.org/10.3390/en13133299.

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Electricity demand is increasing, as a result of increasing consumers in the electricity market. By growing smart technologies such as smart grid and smart energy management systems, customers were given a chance to actively participate in demand response programs (DRPs), and reduce their electricity bills as a result. This study overviews the DRPs and their practices, along with home energy management systems (HEMS) and load management techniques. The paper provides brief literature on HEMS technologies and challenges. The paper is organized in a way to provide some technical information about DRPs and HEMS to help the reader understand different concepts about the smart grid, and be able to compare the essential concerns about the smart grid. The article includes a brief discussion about DRPs and their importance for the future of energy management systems. It is followed by brief literature about smart grids and HEMS, and a home energy management system strategy is also discussed in detail. The literature shows that storage devices have a huge impact on the efficiency and performance of energy management system strategies.
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Bhadane, Kishor V., Mohan Thakre, Rakesh Shriwastava, Deepak P. Kadam, Dnyaneshwar V. Bhadane et Mahesh Harne. « Power quality improvement of wind energy system using energy storage model and DSTATCOM ». International Journal of Applied Power Engineering (IJAPE) 11, no 3 (1 septembre 2022) : 209. http://dx.doi.org/10.11591/ijape.v11.i3.pp209-217.

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Nowadays power crises in different countries are observed and the main cause of the power crisis is the huge gap between the supply and demand of electricity, renewable energy sources are identified as an alternative to overcome the power crisis gap. Renewable wind energy is the most promising energy source. Increasing the integration of wind energy into the grid causes the exploitation of power quality. Hence there is a need to deal with this issue. In this case, supercapacitors and custom power devices are introduced as smart energy storage devices in grid-connected wind energy systems for power quality enhancement features. The indirect current control scheme has interfered with custom power devices based on DSTATCOM. The optimal MATLAB-based smart energy storage model and hardware results are compared and validated. power quality improvement feature of grid-connected wind energy system using DSTATCOM is highlighted. The main aim of this study is to determine and interface the optimistic energy storage device into grid connected wind energy system. So that the stability of the wind energy system is to be maintained and also able to enhance the overall efficiency of the wind energy system.
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Farmanbar, Mina, Kiyan Parham, Øystein Arild et Chunming Rong. « A Widespread Review of Smart Grids Towards Smart Cities ». Energies 12, no 23 (25 novembre 2019) : 4484. http://dx.doi.org/10.3390/en12234484.

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Nowadays, the importance of energy management and optimization by means of smart devices has arisen as an important issue. On the other hand, the intelligent application of smart devices stands as a key element in establishing smart cities, which have been suggested as the solution to complicated future urbanization difficulties in coming years. Considering the scarcity of traditional fossil fuels in the near future, besides their ecological problems the new smart grids have demonstrated the potential to merge the non-renewable and renewable energy resources into each other leading to the reduction of environmental problems and optimizing operating costs. The current paper clarifies the importance of smart grids in launching smart cities by reviewing the advancement of micro/nano grids, applications of renewable energies, energy-storage technologies, smart water grids in smart cities. Additionally a review of the major European smart city projects has been carried out. These will offer a wider vision for researchers in the operation, monitoring, control and audit of smart-grid systems.
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Sguarezi Filho, A. J., Ivan R. S. Casella, C. E. Capovilla et E. Ruppert. « Wireless coding deadbeat power control for doubly-fed induction aerogenerators in smart grid applications ». Sba : Controle & ; Automação Sociedade Brasileira de Automatica 23, no 5 (octobre 2012) : 541–52. http://dx.doi.org/10.1590/s0103-17592012000500003.

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Smart grids comprise advanced communication infrastructure to provide balance supply, demand, and storage of energy over a region in a much more efficient manner than it is done today. However, in a smart grid, the utilization of wireless technologies for transmitting control information requires a powerful error protection to avoid any serious problems to the energétic plant. With this focus, the work is concerned with a wireless coding deadbeat power control system for a variable speed wind doubly-fed induction generator for smart grid applications.
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Xu, Yong, Lingqiao Zhang, Huiwen Yang, Zhi Lin et Qian Yu. « Energy saving optimization scheduling of intelligent energy station based on beetle antennae searching-particle swarm optimization algorithm ». Journal of Physics : Conference Series 2205, no 1 (1 février 2022) : 012004. http://dx.doi.org/10.1088/1742-6596/2205/1/012004.

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Abstract New energy and distributed power generation system of smart energy station need to cooperate with energy storage device to carry out peak cutting and valley filling, so as to meet the requirements of grid connection. Rational distribution of power suppression tasks of batteries and other energy storage components will reduce the generation cost of smart energy stations, protect energy storage devices and prolong their life. In this paper, variational modal decomposition algorithm is used to decompose the difference between the original power and the target power and distribute it to each energy storage unit. In addition to considering the decomposition mode number of VMD algorithm, the size of the secondary penalty factor and the power boundary frequency of the energy storage system, the grid-connected target power is also taken as the quantity to be optimized, which further reduces the requirements on the maximum instantaneous power and capacity of the energy storage system. Simulation results show that the proposed method is effective.
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Gao, Xuefeng, Yueyang Xu, Yuchun Liu, Hao Li, Xinhong Wang, Dong Wang et Yu Shi. « Differentiated Configuration Options for Centralized and Distributed Energy Storage ». Journal of Physics : Conference Series 2427, no 1 (1 février 2023) : 012042. http://dx.doi.org/10.1088/1742-6596/2427/1/012042.

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Abstract With the rapid development of new energy power generation technology and the promotion and application of energy storage in smart grids, energy storage is more and more favored by people. Firstly, the energy storage technology is classified, and its role in the power grid is analyzed. Then, the economy of centralized and distributed energy storage is analyzed. Further, according to the technical and economic characteristics of centralized energy storage and distributed energy storage, the applications of these two types of energy storage are introduced. Finally, based on the characteristics of renewable energy in Jilin Province, recommendations are made for the placement of energy storage in Jilin Province in the context of “carbon neutrality and carbon peaking.”
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Fialko, N. M., et M. P. Timchenko. « ENERGY STORAGE TECHNOLOGIES WITHIN THE INTELLECTUAL ENERGY SUPPLY SYSTEMS ». Industrial Heat Engineering 39, no 4 (20 novembre 2017) : 44–54. http://dx.doi.org/10.31472/ihe.4.2017.07.

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The outcome of the analysis of the main energy storage technologies (EST) for perspective intelligent (based on Smart Grid) energy supply systems are presented. More than 1600 projects of the EST were reviewed. A number of the EST classifications according to technologically commercial "maturity", costs of implementation, risks, capacity of storage devices, time of their response and discharge, etc. are proposed.
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Wu, Xiangqiang, et Tamas Kerekes. « Flexible Active Power Control for PV-ESS Systems : A Review ». Energies 14, no 21 (5 novembre 2021) : 7388. http://dx.doi.org/10.3390/en14217388.

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The penetration of solar energy in the modern power system is still increasing with a fast growth rate after long development due to reduced environmental impact and ever-decreasing photovoltaic panel cost. Meanwhile, distribution networks have to deal with a huge amount and frequent fluctuations of power due to the intermittent nature of solar energy, which influences the grid stability and could cause a voltage rise in the low-voltage grid. In order to reduce these fluctuations and ensure a stable and reliable power supply, energy storage systems are introduced, as they can absorb or release energy on demand, which provides more control flexibility for PV systems. At present, storage technologies are still under development and integrated in renewable applications, especially in smart grids, where lowering the cost and enhancing the reliability are the main tasks. This study reviews and discusses several active power control strategies for hybrid PV and energy storage systems that deliver ancillary services for grid support. The technological advancements and developments of energy storage systems in grid-tied PV applications are also reviewed.
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Baliyan, Arjun, Isaka J. Mwakitalima, Majid Jamil et M. Rizwan. « Intelligent Energy Management System for a Smart Home Integrated with Renewable Energy Resources ». International Journal of Photoenergy 2022 (8 février 2022) : 1–6. http://dx.doi.org/10.1155/2022/9607545.

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In this paper, an intelligent energy management system for the smart home that combines the solar energy as well as the energy from the battery storage devices has been proposed to reduce the dependency on the power grid and make the system to be more economical. The proposed system manages the energy requirement of the smart home by properly rescheduling and arranging the power flow between the energy storage devices, grid power, and the photovoltaics. The power grid can absorb the excess power from the designed system whenever the load requirement is low, and on the other hand, it can supply the power to the load in case of peak demand. Therefore, in the designed system, a user has the flexibility to sell the extra power for the purpose of revenue. A thorough simulation of the system has been carried out, and the results obtained show the effectiveness of the approach in terms of energy management between the different sources.
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Szczepaniuk, Hubert, et Edyta Karolina Szczepaniuk. « Applications of Artificial Intelligence Algorithms in the Energy Sector ». Energies 16, no 1 (28 décembre 2022) : 347. http://dx.doi.org/10.3390/en16010347.

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The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent energy management, and distributed energy integration poses new requirements for computer science. Issues related to the automation of power grid management, multidimensional analysis of data generated in Smart Grids, and optimization of decision-making processes require urgent solutions. The article aims to analyze the use of selected artificial intelligence (AI) algorithms to support the abovementioned issues. In particular, machine learning methods, metaheuristic algorithms, and intelligent fuzzy inference systems were analyzed. Examples of the analyzed algorithms were tested in crucial domains of the energy sector. The study analyzed cybersecurity, Smart Grid management, energy saving, power loss minimization, fault diagnosis, and renewable energy sources. For each domain of the energy sector, specific engineering problems were defined, for which the use of artificial intelligence algorithms was analyzed. Research results indicate that AI algorithms can improve the processes of energy generation, distribution, storage, consumption, and trading. Based on conducted analyses, we defined open research challenges for the practical application of AI algorithms in critical domains of the energy sector.
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