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Journal articles on the topic 'Battery storage'

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Published: 4 June 2021
Last updated: 23 August 2023

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1

Ueda, T. "Alkaline storage battery." Journal of Power Sources 70, no. 1 (January 30, 1998): 169. http://dx.doi.org/10.1016/s0378-7753(97)84138-9.

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2

Zainurin, N. A., S. A. B. Anas, and R. S. S. Singh. "A Review of Battery Charging - Discharging Management Controller: A Proposed Conceptual Battery Storage Charging – Discharging Centralized Controller." Engineering, Technology & Applied Science Research 11, no. 4 (August 21, 2021): 7515–21. http://dx.doi.org/10.48084/etasr.4217.

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This paper describes the development of a centralized controller to charge or discharge the battery storages that are connected to renewable energy sources. The centralized controller is able to assist, control, and manage the battery storage charging when excessive power is available from renewable energy sources. At the same time, the centralized controller also performs battery storage discharging when the connected load requires a power source, especially when the renewable energy sources are unavailable. Background studies regarding battery storage charging-discharging are presented in the introduction section. Also, generally developed charging-discharging methods or techniques were applied at the system level and not specifically to the battery storage system level. Due to the limited study on battery storage system charging-discharging, this paper reviews some of the similar studies in order to understand the battery storage charging–discharging characteristics as well as to propose a new conceptual methodology for the proposed centralized controller. The battery storage State-of-Charge (SoC) is used as the criterion to develop the conceptual centralized controller, which is also used as a switching characteristic between charging or discharging when only the battery energy storages are supplying the output power to the connected load. Therefore, this paper mainly focuses on the conceptual methodology as well as explaining the functionality and operationality of the proposed centralized controller. A summarized comparison based on the studied charging–discharging systems with the proposed centralized controller is presented to indicate the validity of the proposed centralized controller.
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3

Praphun Pikultong, Sahataya Thongsan, and Somchai Jiajitsawat. "The Study of Usable Capacity Efficiency and Lifespan of Hybrid Energy Storage (Lead-Acid with Lithium-ion Battery) Under Office Building Load Pattern." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 98, no. 2 (September 29, 2022): 67–79. http://dx.doi.org/10.37934/arfmts.98.2.6779.

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One of the greatest practices in energy management is the Energy Storage System (ESS). ESS can be used for renewable energy control as well as peak shaving in the build-up of a Smart Grid. The cost of a lithium ion battery is more than 200 percent greater than that of a lead-acid battery, which is a significant barrier to project start-up. This paper focuses on the use of a hybrid energy storage system that includes a lithium-ion battery and a lead-acid battery. This work presents the hybrid energy storage using lithium-ion battery and lead-acid battery to reduce costs of the project. However, usability that requires high current power supply considerably affects the usable capacity of a lead-acid battery. Results showed that the ratio 68.63: 31.37 was the most suitable among 7 ratios, compared to the model building installed a 50kW solar power generator on the rooftop, in the worst case scenario when the batter have 85% DoD per cycle. The EOL for hybrid energy storage is about 4 years lifespan with the 0.5C and 0.2C for LFP and AGM respectively. In terms of economic evaluation, hybrid energy storage could initially reduce the project cost by 47.5%.
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4

Kennelly, A. E. "THE EDISON STORAGE BATTERY." Journal of the American Society for Naval Engineers 13, no. 3 (March 18, 2009): 669–77. http://dx.doi.org/10.1111/j.1559-3584.1901.tb04148.x.

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5

Wedlake, R. "High temperature storage battery." Journal of Power Sources 70, no. 1 (January 30, 1998): 168. http://dx.doi.org/10.1016/s0378-7753(97)84133-x.

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6

Green, Sidney, John McLennan, Palash Panja, Kevin Kitz, Richard Allis, and Joseph Moore. "Geothermal battery energy storage." Renewable Energy 164 (February 2021): 777–90. http://dx.doi.org/10.1016/j.renene.2020.09.083.

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7

Anderson, M. D., and D. S. Carr. "Battery energy storage technologies." Proceedings of the IEEE 81, no. 3 (March 1993): 475–79. http://dx.doi.org/10.1109/5.241482.

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8

Kumar, K. Pandu. "Battery Storage Management System." International Journal of Electrical Engineering 16, no. 1 (July 6, 2023): 17–25. http://dx.doi.org/10.37624/ijee/16.1.2023.17-25.

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9

Leung, K. K., and D. Sutanto. "Storage power flow controller using battery storage." IEE Proceedings - Generation, Transmission and Distribution 150, no. 6 (2003): 727. http://dx.doi.org/10.1049/ip-gtd:20030754.

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10

Jiang, Minglei. "Selection of Electrochemical Energy Storage Types Based on Renewable Energy Storage Technology." Journal of Physics: Conference Series 2186, no. 1 (February 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2186/1/012010.

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Abstract With the strong support of the national new energy policy, higher requirements are put forward for the flexible regulation ability base on the power system. It is the key factor of the flexible regulation ability of the system. How to achieve better new energy consumption through reasonable selection of energy storage types has become an urgent problem to be solved. In view of this, this paper establishes an energy storage type selection model and analyzes a numerical example. The conclusion is that lead-carbon battery and lithium-ion battery have different advantages: lead battery is more suitable for small-scale new energy consumption. Although lithium-ion battery is superior to lead-carbon battery in construction, operation and maintenance, it has more cycles, avoids frequent replacement, and has high battery conversion efficiency. With the further decline of battery manufacturing cost, the benefit of investing in energy storage system will be further improved. The conclusion can provide a basis for formulating relevant policies
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11

Silva, José, Guilherme Távora, and Sandro Mendonça. "Reconfiguring the Energy Storage Landscape." Foresight and STI Governance 17, no. 1 (March 20, 2023): 34–50. http://dx.doi.org/10.17323/2500-2597.2023.1.34.50.

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The development of battery technologies is critical for energy transition strategies. This paper offers a comprehensive assessment of the trends and developments of battery innovation. Over 700,000 patents from the period of 2005-2019 are compiled and analyzed. Leading patent applicants and countries of origin are identified. Major patent applicants are mostly large East Asian companies, while Japan and South Korea are the leading countries followed by the US, Germany, and China. Different battery designs, the main battery components, and interactions with other clean technologies are examined. Based on the operative definitions for incremental/radical and product/process innovations, a battery innovation typology is set forth. The main findings are that patenting in batteries rises robustly and the lithium-ion battery is the most vibrant technology; lithium-sulfur and flow batteries are the most notable emerging technologies, while electrodes are the most salient battery component. The most significant interactions of batteries with clean energy technologies are between battery charging and photovoltaic energy as well as between battery charging and electric vehicles. Incremental innovation represents more than half of the patents, while product innovation represents approximately 70% of the total patents. This study presents findings that could be useful when making investment decisions on the development of battery and auxiliary low-carbon energy technologies.
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12

Zhang, Ye-Qi, Guang-Xu Wang, Ru-Yi Liu, and Tian-Hu Wang. "Operational Parameter Analysis and Performance Optimization of Zinc–Bromine Redox Flow Battery." Energies 16, no. 7 (March 27, 2023): 3043. http://dx.doi.org/10.3390/en16073043.

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Zinc–bromine redox flow battery (ZBFB) is one of the most promising candidates for large-scale energy storage due to its high energy density, low cost, and long cycle life. However, numerical simulation studies on ZBFB are limited. The effects of operational parameters on battery performance and battery design strategy remain unclear. Herein, a 2D transient model of ZBFB is developed to reveal the effects of electrolyte flow rate, electrode thickness, and electrode porosity on battery performance. The results show that higher positive electrolyte flow rates can improve battery performance; however, increasing electrode thickness or porosity causes a larger overpotential, thus deteriorating battery performance. On the basis of these findings, a genetic algorithm was performed to optimize the batter performance considering all the operational parameters. It is found that the battery energy efficiency can reach 79.42% at a current density of 20 mA cm−2. This work is helpful to understand the energy storage characteristics and high-performance design of ZBFB operating at various conditions.
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13

Vangala, Shreyas, and Blake Casagranda. "Bolstering the Battery Storage Supply Chain for Battery Electric Vehicles and Grid Storage." Climate and Energy 39, no. 9 (March 10, 2023): 19–27. http://dx.doi.org/10.1002/gas.22340.

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14

Niu, Jianna, George You Zhou, and Tong Wu. "Embedded Battery Energy Storage System for Diesel Engine Test Applications." International Journal of Materials, Mechanics and Manufacturing 3, no. 4 (2015): 294–98. http://dx.doi.org/10.7763/ijmmm.2015.v3.213.

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15

Caires Silva Amorim, William, João Victor Guimarães França, Allan Fagner Cupertino, Victor Flores Mendes, and Heverton Augusto Pereira. "Mission Profile Emulator for MMC-based Battery Energy Storage Systems." Eletrônica de Potência 27, no. 02 (June 30, 2022): 1–9. http://dx.doi.org/10.18618/rep.2022.2.0035.

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16

KOŠICKÝ, Tomáš, Ľubomír BEŇA, and Michal KOLCUN. "ANALYSIS OF UTILIZATION BATTERY ENERGY STORAGE SYSTEMS FOR FREQUENCY REGULATION." Acta Electrotechnica et Informatica 14, no. 3 (September 1, 2014): 36–42. http://dx.doi.org/10.15546/aeei-2014-0027.

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17

Šimić, Zvonimir, Danijel Topić, Goran Knežević, and Denis Pelin. "Battery energy storage technologies overview." International journal of electrical and computer engineering systems 12, no. 1 (April 21, 2021): 53–65. http://dx.doi.org/10.32985/ijeces.12.1.6.

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Battery technologies overview for energy storage applications in power systems is given. Lead-acid, lithium-ion, nickel-cadmium, nickel-metal hydride, sodium-sulfur and vanadium-redox flow batteries are overviewed. Description, graphical representation, advantages and disadvantages as well as technical characteristics are given for all technologies. Differences and similarities between different battery technologies are perceived. Battery technologies are considered with respect to peak shaving, load leveling, power reserve, integration of renewable energy, voltage and frequency regulation and uninterruptible power supply applications. According to technical characteristics for overviewed technologies, comparison between battery storage technologies is given through diagrams which are uniformed. Comparison is done according to specific power, specific energy, power density, energy density, power cost, energy cost, lifetime, lifetime cycles, cell voltage and battery technology efficiency.
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18

Vasilevich, V. P., and М. Y. Zbysinskaya. "Charging and Discharging Characteristics of a Battery-Capacitive Energy Storage Device for Stand-Alone Photovoltaic System." Doklady BGUIR 20, no. 2 (April 5, 2022): 78–85. http://dx.doi.org/10.35596/1729-7648-2022-20-2-78-85.

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The purpose of the research is to study the charging-discharging characteristics of a hybrid energy storage device which consists of two parallel connected battery and capacitive parts to assess the work efficiency of its circuit design as a part of standalone photovoltaic system. The charge current kinetics of a hybrid storage device from a solar panel was carried out under natural conditions at a specific power of incident solar radiation of 800–850 W/m2. The discharge current kinetics of battery and capacitive storages were obtained with a resistive load and disconnected solar battery. The dynamics of charging and discharging processes of the battery and capacitive parts of the energy storage device were monitored by the voltage rise/fall rate. The battery part of the drive is charging and starting the device based on a lead-acid gel battery with a charging capacity of 11 A·h, 12.8 V maximum voltage, and 15 A maximum discharge current. The capacitive part consisted of a new generation INSPECTOR Booster supercapacitor starting the device with an electrostatic capacity of 80 F, 15.5 V voltage, and 800 A starting current. As the energy source a solar battery was used, with a 12 V nominal voltage and 100 W peak power. A 6 Om rheostat with 15 A consumption current was used as a load during the storage device discharge. A Morningstar ProStar-15 charging/discharging controller with a pulse-width modulation function was used to monitor and control the photovoltaic system. Quantitative charging and discharging characteristics of a battery-capacity energy storage device were obtained for the use in the development of standalone photovoltaic system.
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19

Chatterji, Emon, and Morgan D. Bazilian. "Battery Storage for Resilient Homes." IEEE Access 8 (2020): 184497–511. http://dx.doi.org/10.1109/access.2020.3029989.

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20

Kafafi, Zakya H. "Carbon nanotubes boost battery storage." Science 353, no. 6296 (July 14, 2016): 258.8–259. http://dx.doi.org/10.1126/science.353.6296.258-h.

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21

Liaw, C. M., T. H. Chen, S. J. Chiang, C. M. Lee, and C. T. Wang. "Small battery energy storage system." IEE Proceedings B Electric Power Applications 140, no. 1 (1993): 7. http://dx.doi.org/10.1049/ip-b.1993.0002.

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22

Henson, William. "Optimal battery/ultracapacitor storage combination." Journal of Power Sources 179, no. 1 (April 2008): 417–23. http://dx.doi.org/10.1016/j.jpowsour.2007.12.083.

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23

Masaaki, Sasaki, Arakawa Masahiro, Horii Tohru, and Murata Kazuo. "5521024 Lead acid storage battery." Journal of Power Sources 67, no. 1-2 (July 1997): 340. http://dx.doi.org/10.1016/s0378-7753(97)82132-5.

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24

He, Bin, YongFeng Ren, Yu Xue, ChenZhi Fang, ZhiShuai Hu, and XiaoLing Dong. "Research on the Frequency Regulation Strategy of Large-Scale Battery Energy Storage in the Power Grid System." International Transactions on Electrical Energy Systems 2022 (December 7, 2022): 1–13. http://dx.doi.org/10.1155/2022/4611426.

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Driven by the carbon peaking and carbon neutrality target, the large-scale grid-connected of renewable energy such as wind and solar has increased, and the volatility and randomness have posed new challenges to the stability of the power grid frequency. In this case, battery energy storage is a grid auxiliary resource with fast response and adjustable parameters, which can provide frequency support for the grid system in a short period. This paper studies the frequency regulation strategy of large-scale battery energy storage in the power grid system from the perspectives of battery energy storage, battery energy storage station, and battery energy storage system, respectively. First of all, the droop control based on logistic function and the virtual inertia control based on piecewise function are proposed for battery energy storage frequency regulation, which improves the performance of battery energy storage power output effectively. Second, the weighting factor is set according to the current battery charge to achieve the most optimal distribution of frequency regulation power for each battery pack in the battery energy storage station. In the end, a control framework for large-scale battery energy storage systems jointly with thermal power units to participate in system frequency regulation is constructed, and the proposed frequency regulation strategy is studied and analyzed in the EPRI-36 node model. The results of the study show that the proposed battery frequency regulation control strategies can quickly respond to system frequency changes at the beginning of grid system frequency fluctuations, which improves the stability of the new power system frequency including battery energy storage. In addition, this paper also provides a certain reference for the construction of the new power system dispatching that integrates “Generation-Grid-Load-Storage” in the future.
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25

Hattori, Y. "Rectangular sealed alkaline storage battery and module battery thereof." Journal of Power Sources 70, no. 1 (January 30, 1998): 166. http://dx.doi.org/10.1016/s0378-7753(97)84123-7.

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26

Siddartha Ramakanth Keshavadasu. "Unlocking the power of second-life: Li-ion batteries for sustainable energy storage and resource management in the Indian context." World Journal of Advanced Research and Reviews 19, no. 1 (July 30, 2023): 221–34. http://dx.doi.org/10.30574/wjarr.2023.19.1.1310.

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This review paper examines the second life of Li-ion batteries, its market size, use cases, economics, and environmental impact, with a focus on the Indian context. The study highlights the increasing demand for sustainable energy storage solutions and the projected growth of the second-life battery market. It explores the various applications of second-life batteries, including grid-scale energy storage, residential energy storage, EV charging stations, and telecommunications backup power. The paper discusses the economic benefits of repurposing batteries, such as cost savings compared to new battery systems, and the factors influencing the economics of second-life Li-ion batteries. Furthermore, it emphasizes the importance of government policies and regulations that promote the reuse of batteries, with specific reference to initiatives in India. The environmental impact of second-life batteries is examined, including the reduction in raw material extraction, decreased energy consumption and greenhouse gas emissions during battery production, and the alleviation of waste generated from battery disposal. The challenges in recycling and disposal at the end of the battery's second life are also addressed, emphasizing the need for effective recycling technologies and infrastructure. The paper concludes by highlighting the opportunities for innovation, research, and collaboration in the second-life battery ecosystem, with a call for partnerships among stakeholders to drive advancements in battery management systems, repurposing technologies, and battery chemistry. The findings of this paper contribute to the understanding of the second-life battery industry in the Indian context and provide insights into its potential for sustainable energy storage and resource management.
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27

Buscheck, Thomas A. "Earth Battery." Mechanical Engineering 137, no. 12 (December 1, 2015): 36–41. http://dx.doi.org/10.1115/1.2015-dec-2.

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This article elaborates the features of Multi-Fluid/CO2 Plume Geothermal (CPG) energy storage system. This system provides utility-scale diurnal and seasonal energy storage and dispatchable power, while permanently sequestering carbon dioxide (CO2) from industrial-scale fossil-energy power plants. Operationally, a Multi-Fluid/CPG system is radically different from traditional power plants or energy storage systems, such as pumped hydroelectric. Most of the system resides below the ground surface, consisting of horizontal injection and production wells arrayed in concentric rings that could be five miles or more across. This ring configuration is used to pressurize and confine CO2 in the region in the center of the array and to pressurize brine between the outer two rings. Because the Multi-Fluid/CPG system relies on the injection of carbon dioxide, the cost of sequestration is turned into an operational investment. Just as enhanced oil recovery has made geological CO2 sequestration economically viable in the petroleum industry. Multi-Fluid/CPG can make it profitable to lock away CO2 that would otherwise be emitted.
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28

Tamanna, Shaik Abdul Wajahat. "A PV Based Hybrid Energy Storage System for Electric Vehicles." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 672–80. http://dx.doi.org/10.22214/ijraset.2021.39350.

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Abstract: Charging of electric vehicles have been a major problem as the charging stations are not installed every where, either we have to charge the vehicle at home or we should have to go to a charging point and it takes a lot of time. Addition of solar energy generation to electric vehicle will give the advantage of charging the vehicle while it is in parking. The overall performance and endurance of the battery of a electric vehicle can be improved by designing a PV based hybrid energy storage system with the magnetic integration of Bessel low pass filter to the DC-DC converter. The size of battery is reduced, endurance of the battery is also improved and the effectiveness of proposed method is validated by simulation. Keywords: Solar energy generation, hybrid-energy storage system, DC-DC converter, electric vehicle, endurance of the batter.
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29

Rajanna, B. V., and Malligunta Kiran Kumar. "Comparison study of lead-acid and lithium-ıon batteries for solar photovoltaic applications." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (June 1, 2021): 1069. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1069-1082.

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The battery energy storage systems are very essential for maintaining constant power supply when using solar photovoltaic systems for power generation. The viability and ability of battery energy storage systems are assessed based on battery usage in Solar Photovoltaic utility grid-connected systems. The power supply quality and reliability are improved by utilizing battery energy storage technologies in conjunction with solar photovoltaic systems. This paper presents a comparative analysis of Lead-Acid Storage battery and Lithium-ion battery banks connected to a utility grid. The battery mathematical model simulation study gives their performance characteristics of these batteries under grid-connected loads. Cost-benefit analysis of battery usage for determining the best battery suitable for solar photovoltaic system applications is also presented in this paper.
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30

Si, Jiandong, Yiqin Tang, Xinang Li, and Linyu Zhang. "Comprehensive Reliability Assessment Method for Lithium Battery Energy Storage Systems." Journal of Physics: Conference Series 2474, no. 1 (April 1, 2023): 012009. http://dx.doi.org/10.1088/1742-6596/2474/1/012009.

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Abstract Electrochemical energy storage systems have the advantages of fast power response, intensive energy storage, flexible and convenient deployment, but the output characteristics of the battery system directly affect the service effect of the energy storage power plant. Therefore, it is quite necessary to analyze the reliability of battery energy storage and scientifically assess the system’s performance. This paper considers the aging state of the battery storage system as well as sudden failures and establishes a comprehensive reliability assessment method for battery energy storage systems that take into account the battery health index and the impact of thermal runaway failures, which makes up for the shortcomings of existing reliability assessment methods.
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31

Diop, ouhamadou Moustapha, Adam w. Skorek, and Yannick mayola. "Optimizing Storage with Artificial Intelligence." International Journal of Engineering and Advanced Technology Studies 10, no. 3 (March 15, 2022): 48–57. http://dx.doi.org/10.37745/ijeats.13/vol10n34857.

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This paper presents the battery energy control system by using Fuzzy Logic Controller (FLC) for a renewable energy sources (Solar Panel, Wind Turbine). A fuzzy control strategy is used in this article for battery control. To improve battery life, fuzzy control manages the desired state of charge (SOC).By using MATLAB/ Simulink, the modelling, analysis and control of the energy generator devices and energy storage devices (ESD) are proposed.
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32

Lee, Noah, Chen Hon Nee, Seong Shan Yap, Kwong Keong Tham, Ah Heng You, Seong Ling Yap, and Abdul Kariem Bin Mohd Arof. "Capacity Sizing of Embedded Control Battery–Supercapacitor Hybrid Energy Storage System." Energies 15, no. 10 (May 20, 2022): 3783. http://dx.doi.org/10.3390/en15103783.

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A battery–supercapacitor hybrid energy storage system is investigated as a solution to reduce the high-power delivery stress on the battery. An optimally-sized system can further enhance the storage and cost efficiency. This paper discusses several possible problems in the sizing of a battery–supercapacitor hybrid energy storage system for practical applications. A sizing method that utilises data collected from a fully active embedded control hybrid energy system is proposed. The feasibility of the method is then tested on three load profiles that represent the load demand of inter- and intra-applications with a battery–supercapacitor hybrid energy storage system. The result is compared to a battery-only single energy storage system. The results verified that the number of batteries required in the hybrid energy storage system is reduced by at least 50% compared to the battery-only single energy storage system.
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33

Rason, Chris. "Storage Solutions." Manufacturing Management 2021, no. 8-9 (September 2021): 20–21. http://dx.doi.org/10.12968/s2514-9768(22)90261-3.

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34

Dhakad, Deepika, Abhishek Maurya, and Raksha Goyal. "Integrated Renewable Energy System with the use of Battery Energy Storage." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1261–65. http://dx.doi.org/10.31142/ijtsrd11289.

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35

Zhang, Shujun, Xiao Qian, Yibin Tao, and Chen Zhou. "Research on grid-connected interoperability technology of battery storage power station." Journal of Physics: Conference Series 2351, no. 1 (October 1, 2022): 012013. http://dx.doi.org/10.1088/1742-6596/2351/1/012013.

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In the context of the large-scale application of energy storage, the PCS and BMS systems of the battery energy storage system need to be connected to the communication network, the communication interaction efficiency is low, and the process is complicated. In order to solve this problem, this paper researches the information exchange mechanism of grid connection to the common problems existing in the information flow level of battery storage power stations connected to the regional power grid. Through the analysis of the function of the battery storage power station, the self-discovery technology and the interoperability technology of the information interface device are mainly studied to solve the technical problem of the plug-and-play information level of the battery storage power station. As a result, the battery storage power station can directly jump from restricted access to orderly access, and the adaptability of battery storage power stations in different application scenarios can be improved.
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36

Sun, Jin, Jing Liu, Yangguang Wang, Huihong Yuan, and Ze Yan. "Development status, policy, and market mechanisms for battery energy storage in the US, China, Australia, and the UK." Journal of Renewable and Sustainable Energy 15, no. 2 (March 2023): 024101. http://dx.doi.org/10.1063/5.0146184.

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Energy storage plays a crucial role in the safe and stable operation of power systems under high renewable energy penetration. Unlike conventional energy sources, the special physical characteristics of battery energy storage make it challenging to apply in practice. Some countries have been developing battery energy storage for a long time, and it is worthwhile to learn from the policies and market mechanisms for the development of battery energy storage to clear the obstacles for large-scale development and participation in the power market. This study focuses on the current status of battery energy storage, development policies, and key mechanisms for participating in the market and summarizes the practical experiences of the US, China, Australia, and the UK in terms of policies and market mechanisms. Then, the challenges of the current development of battery energy storage are analyzed, and suggestions are made in terms of policies and market mechanisms, so as to provide a reference for the development of battery energy storage in other countries or regions.
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37

Xiu, Xiao Qing, Jian Lin Li, and Dong Hui. "Sizing and Economic Analysis of Lithium-Ion Battery Energy Storage System." Applied Mechanics and Materials 291-294 (February 2013): 627–31. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.627.

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Lithium-ion battery energy storage technology has recently made great development, which can play a significant role in power system. Take grid load shifting for example, lithium-ion battery energy storage technology can alleviate the problem of the growing difference between peak and valley, and reduce power system equipment investment, etc. While the high cost of lithium-ion battery energy storage technology limits its large-scale application at present stage. Hence, during early stage of energy storage project investment planning, it is necessary to analyze the economic problems of its investment. Based on the technical level of the lithium-ion battery at present, lithium-ion battery energy storage system capacity configuration strategy is proposed and economic analysis model is established. Finally, economic issues of investment in lithium-ion battery energy storage system for grid load shifting are studied, and the capacity configuration recommendations are given.
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38

Małkowski, Robert, Marcin Jaskólski, and Wojciech Pawlicki. "Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis." Energies 13, no. 6 (March 17, 2020): 1402. http://dx.doi.org/10.3390/en13061402.

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This paper presents research on a hybrid photovoltaic-battery energy storage system, declaring its hourly production levels as a member of a balancing group submitting common scheduling unit to the day-ahead market. It also discusses the variability of photovoltaic system generation and energy storage response. The major research questions were whether the operation of a hybrid photovoltaic-battery energy storage system is viable from the technical and economic viewpoint and how to size battery energy storage for that purpose. The DIgSILENT PowerFactory environment was used to develop the simulation model of postulated hybrid system. Then, tests were conducted on real devices installed in the LINTE^2 laboratory at Gdańsk University of Technology, Poland. Firstly, power generation in the photovoltaic system was modeled using hardware in the loop technique and tested in cooperation with emulated photovoltaic and real battery energy storage system (lithium-ion battery, 25 kWh). Secondly, a real photovoltaic power plant (33 kW) and real battery energy storage were applied. The results obtained from laboratory experiments showed that market operation of hybrid photovoltaic-battery energy storage system is feasible. However, developing a control strategy constitutes a great challenge, as the operator is forced to intervene more frequently than the simulation models indicate in order to keep the parameters of battery storage within accepted ranges, especially in view of a sudden weather breakdown. Levelized cost of electricity from photovoltaic-battery energy storage system varied from 314 to 455 $/MWh, which has proven to be from two to three times higher than the current annual average day-ahead market price in Poland.
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39

Liu, Hong, Long Wang, and Sai Yi Wang. "Impact of PV and Battery Storage on the Power Supply Reliability." Applied Mechanics and Materials 380-384 (August 2013): 2958–61. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2958.

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The impact of PV and Battery storage system on the power supply reliability of distribution network is great. Firstly, the assumptions of the battery storage operating strategy are given, and four typical evaluation indexes are presented. Then, the impacts of different PV peak active power, different battery capacity and PV & Battery Storage on the power supply reliability are discussed. Finally, the impacts of PV, Battery and PV & Battery on the power supply reliability of distribution network are compared and analyzed. These results are provided as references for the optimal capacity configuration of PV & Battery.
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Ovwigho, Ohwofasa, and A. Ianga. "COMPARATIVE ANALYSIS OF BATTERY STORAGE TECHNOLOGIES FOR RESIDENTIAL PHOTOVOLTAIC SOLAR ENERGY INSTALLATIONS." International Journal of Research Findings in Engineering, Science and Technology 4, no. 2 (February 13, 2022): 26–40. http://dx.doi.org/10.48028/iiprds/ijrfest.v4.i2.03.

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The study concerns a comparative analysis of battery storage technologies used for photovoltaic solar energy installations used in residential applications. Battery storage is needed because of the intermittent nature of photovoltaic solar energy generation and also because of the need to store up excess energy generated in periods of high demand or for sales to the National Grid System. The study consists of three parts; namely: (a) to undertake a comprehensive review of current battery storage technologies. (b) To investigate the performance of the main battery storage technologies that is commercially available (efficiency, energy density, power density, self-discharge per day and power rating); (c). Undertake comparison of battery energy storage technologies. From the findings, it shows that the Lithium Ion Battery technology is the most reliable and most widely used technology for residential applications. It has the best performance characteristics (efficiency, energy density, power density, moderate self-discharge and power rating) however, lithium ion batteries are still relatively expensive among others. Due to these features the Lithium Ion Battery technology stands a total chance of dominating the Battery technology market for residential and automotive applications. Also shows from the findings, the performing reliability of the Lithium ion battery by using the battery application requirements and the dangers in operating at a not required specification. More recommendations were made in areas of challenges faced by the battery storage technologies in order to make improvement.
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41

Li, Shaojie, Tao Zhang, Xiaochen Liu, and Xiaohua Liu. "A Battery Capacity Configuration Method of a Photovoltaic and Battery System Applied in a Building Complex for Increased Self-Sufficiency and Self-Consumption." Energies 16, no. 5 (February 24, 2023): 2190. http://dx.doi.org/10.3390/en16052190.

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Photovoltaic (PV) systems have been growing in popularity as an energy conservation and carbon reduction approach. Generally, battery storage is integrated with a PV system to solve the intermittent and fluctuant problems of solar resources, enhancing the relative independence of the PV–battery (PVB) system. In consideration of the economic benefits and system efficiency, it is necessary to investigate battery capacity allocation methods. A battery capacity configuration method was established in this study to increase the self-sufficiency rate (SSR) and self-consumption rate (SCR) of the system for a building complex by exploiting the battery resources. The PVB system designed for the building complex is divided into two categories: distributed and centralized storage. The SSR and SCR significantly increase with the increasing battery capacity for both schemes. The SCR of centralized storage is always higher than that of distributed storage, considering different battery and PV capacities. However, the SSR of distributed storage scheme was found to be slightly higher than that of the centralized storage scheme when the energy generated by PV is half of the energy consumed by the building load. For instance, when the battery capacity is four, SSR values for optimal distributed and centralized storage schemes are 47.62% and 47.19%, respectively. For the distributed storage scheme, there is a slight difference between the optimal allocation ratios achieved by SSR and SCR, considering that they have the same total battery capacity. In addition, the effects of converter loss, complementarity in load curves, and centralized batteries were analyzed to achieve greater SSR and SCR. The comparison results of this study can be used as a guide for battery capacity design in the PVB systems of building complexes.
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42

Li, Zhang, and Liu. "Detection of Voltage Anomalies in Spacecraft Storage Batteries Based on a Deep Belief Network." Sensors 19, no. 21 (October 29, 2019): 4702. http://dx.doi.org/10.3390/s19214702.

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For a spacecraft, its power system is vital to its normal operation and capacity to complete flight missions. The storage battery is an essential component of a power system. As a spacecraft spends more time in orbit and its storage battery undergoes charge/discharge cycles, the performance of its storage battery will gradually decline, resulting in abnormal multivariate correlations between the various parameters of the storage battery system. When these anomalies reach a certain level, battery failure will occur. Therefore, the detection of spacecraft storage battery anomalies in a timely and accurate fashion is of great importance to the in-orbit operation, maintenance and management of a spacecraft. Thus, in this study, based on storage battery-related telemetry parameter data (including charge/discharge currents, voltages, temperatures and times) downloaded from an in-orbit satellite, a voltage anomaly detection algorithm for spacecraft storage batteries based on a deep belief network (DBN) is proposed. By establishing a neural network (NN) model depicting the correlations between each of the variables of temperature, current, pressure and charge/discharge times and voltage, this algorithm supports the detection of anomalies in the state-of-health of a storage battery in a timely fashion. The proposed algorithm is subsequently applied to the storage battery of the aforementioned in-orbit satellite. The results show the following. The anomalies detected using the proposed algorithm are more reliable, effective and visual than those obtained using the conventional multivariate anomaly detection algorithms. Compared to the classic backpropagation NN-based algorithm, the DBN-based algorithm is notably advantageous in terms of the model training time and convergence.
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43

Perinov, Iwa Garniwa, Chairul Hudaya, and Budi Sudiarto. "Comparison of Battery Models for Battery Energy Storage System Development." Journal of Physics: Conference Series 1858, no. 1 (April 1, 2021): 012046. http://dx.doi.org/10.1088/1742-6596/1858/1/012046.

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44

Li, Bin, Min Xin Zheng, Bo Jin Qi, Xiao Wei Du, and Qing Sen Yang. "The Battery Management System Applied in Smart Grid Energy Storage System." Advanced Materials Research 608-609 (December 2012): 1066–73. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1066.

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This paper describes the structure of energy storage system in smart grid, and analyzes the battery management system applied in the energy storage system. Battery temperature’s acquisition mode and the anti interference measures are studied. A battery state-of-charge (SOC) estimation method using the extreme accelerate correction method is proposed and the method is feasible to ensure the accuracy of SOC estimation. A battery voltage failure threshold table is constituted by extracting the important experimental data, and the safe using of the battery can be ensured by querying the threshold table. Now the battery management system could meet the needs of the actual operation of the battery energy storage system.
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45

Chu, Ying-Hao. "The superparaelectric battery." Science 374, no. 6563 (October 2021): 33–34. http://dx.doi.org/10.1126/science.abl9130.

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46

Wang, Peng, Fuhua Zhang, and Qinghui Chen. "Bi- level optimal configuration of hybrid energy storage for wind farms considering battery life." Journal of Physics: Conference Series 2247, no. 1 (April 1, 2022): 012005. http://dx.doi.org/10.1088/1742-6596/2247/1/012005.

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Abstract In the planning of hybrid energy storage in wind farms, considering the service life of the battery in the operation stage, a bi-level optimal configuration method of hybrid energy storage in wind farms considering the service life of the battery is proposed. The upper optimization model takes the optimal energy storage configuration cost as the goal, takes the configuration power and capacity of battery and supercapacitor as variables, and takes the configuration power and capacity of battery and supercapacitor satisfying their respective energy storage power instruction sequence as the constraint condition. The lower optimization model takes the maximum service life of the battery in the running stage as the goal, takes the power instruction sequence of the battery and the super-capacitor as variables, and takes the battery and supercapacitor power instruction sequence not exceeding the limit as the constraint condition. The upper optimization model is solved by the linear programming method, and the lower optimization model is solved by particle swarm optimization algorithm. Finally, the proposed method is compared with the energy storage configuration method based on frequency band demarcation. The results show that the proposed method can reduce the cost of energy storage configuration during planning and prolong the service life of the battery during operation.
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Maleev, R. A., Yu M. Shmatkov, and A. A. Kholodov. "The electric starting systems of automobile internal combustion engines with alternative sources of current." Izvestiya MGTU MAMI 12, no. 1 (March 15, 2018): 33–37. http://dx.doi.org/10.17816/2074-0530-66841.

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The application of capacitive energy storage devices in the electric starting systems for automobile internal combustion engines is considered, when instead of a standard battery, a battery of a smaller capacity is used, and in the remainder of the standard battery volume, the energy storage device is mounted. In this case, at the high specific indicators of the energy storage device, the reliability of the engine start can be increased with the same total volume and mass of the electric starting systems at low temperatures. The paper presents a methodology for a determination the parameters of the battery and the energy storage device which are connected in parallel for the electric starting systems, in the case when the type of internal combustion engine and its main parameters are specified, as well as the type of the starter motor and its characteristics. The conducted theoretical investigations made it possible to obtain the dependence of the required mechanical energy for starting the internal combustion engine from the value of the capacity of the energy storage device, as a result of which the required capacity of the energy storage device and its internal resistance, its initial energy, as well as its necessary volume and mass are determined. The volume and mass of battery can be determined from the reference literature or under certain methods for the specific energy of battery by volume and mass. If the ratio of the total volume of the battery and the energy storage device to the volume of the battery is less than unity, then at the given starting frequency of rotation, the usage of the energy storage device is reasonable, due to the reduction of the total volume of the electric starting systems. Similar calculations are conducted for other values of the average starting frequency of rotation. The optimal parameters of the battery and the energy storage device are in which the total volume will be minimal. The parameters of the electric starting systems with the energy storage device and the battery for the VAZ automobile engine with M6z/10G1 engine oil were calculated at a temperature of -20°C with a starter 35.3708 and the gear ratio of the drive gear 11,62. The results of the calculations are shown that for a specific energy of the energy storage device 1 Jcm3 at all starting rotational speeds, the usage of the energy storage device does not allow to reduce the total volume of the energy storage device and the battery in comparison with the volume of the battery required for scrolling the internal combustion engine shaft with this starting frequency.
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Haizhou, Zhai. "Design of an Online Monitoring System of Lithium Ion Energy Storage Batteries for a Distributed Power Station." International Journal of Online and Biomedical Engineering (iJOE) 14, no. 12 (December 23, 2018): 191. http://dx.doi.org/10.3991/ijoe.v14i12.9402.

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Aiming at the online monitoring of real-time operating of lithium-ion energy storage batteries for distributed power station, this paper studies the online monitoring system of lithium-ion energy storage batteries based on B/S network structure. The system consists of a battery status information collection unit, a centralized control unit, and a remote monitoring center. The battery status information collection unit detects the current, voltage, temperature and other parameters of the lithium ion energy storage battery in real time, transmits the data to the centralized control unit for data processing and real-time estimation of the SOC of the battery, and then the centralized control unit transmits the measurement parameters through the Internet network. The remote monitoring center monitors and analyzes the battery real-time status data, accurately calculates the battery SOC, realizes the online real-time monitoring of the lithium ion battery, prevents the lithium ion battery from overcharging, over-discharging, overheating, and promotes the safe and stable operation of the lithium-ion energy storage battery.
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Stevanovic, Milos, Aleksandar Janjic, Sreten Stojanovic, and Dragan Tasic. "Optimal battery storage location and control in distribution network." Facta universitatis - series: Electronics and Energetics 35, no. 1 (2022): 121–36. http://dx.doi.org/10.2298/fuee2201121s.

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The paper discusses the problem of the energy losses reduction in electrical networks using a battery energy storage system. One of the main research interests is to define the optimal battery location and control, for the given battery characteristics (battery size, maximum charge / discharge power, discharge depth, etc.), network configuration, network load, and daily load diagram. Battery management involves determining the state of the battery over one period (whether charging or discharging) and with what power it operates. Optimization techniques were used, which were applied to the model described in the paper. The model consists of a fitness function and a constraint. The fitness function is the dependence of the power losses in the network on the current battery power, and it is suggested that the function be fit by a n - order power function. The constraints apply to the very characteristics of the battery for storing electricity. At any time interval, the maximum power that the battery can receive or inject must be met. At any time, the stored energy in the battery must not exceed certain limits. The power of losses in the network is represented as the power of injection into the nodes of the network. The optimization problem was successfully solved by applying a genetic algorithm (GA), when determining optimal battery management. Finally, the optimal battery management algorithm is implemented on the test network. The results of the simulations are presented and discussed.
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Jones, Andrew. "Battery storage to stop power blackouts." Energy-Safety and Energy-Economy 2 (April 2017): 30–32. http://dx.doi.org/10.18635/2071-2219-2017-2-30-32.

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