Relevant bibliographies by topics / Energy storage system placement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy storage system placement'

Author: Grafiati
Published: 11 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Energy storage system placement"

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Karve, Gauri Mandar, Mangesh S. Thakare, and Geetanjali A. Vaidya. "Optimal Siting and Sizing of Battery Energy Storage System in Distribution System in View of Resource Uncertainty." Energies 18, no. 9 (2025): 2340. https://doi.org/10.3390/en18092340.

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The integration of intermittent Distributed Generations (DGs) like solar photovoltaics into Radial Distribution Systems (RDSs) reduces system losses but causes voltage and power instability issues. It has also been observed that seasonal variations affect the performance of such DGs. These issues can be resolved by placing optimum-sized Battery Energy Storage (BES) Systems into RDSs. This work proposes a new approach to the placement of optimally sized BESSs considering multiple objectives, Active Power Losses, the Power Stability Index, and the Voltage Stability Index, which are prioritized u
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Malogulko, Yu, and V. Lastivka. "THE POWER ENERGY STORAGE SYSTEMS TECHNOLOGY RESEARCH." East European Scientific Journal 1, no. 01(77) (2022): 22–25. http://dx.doi.org/10.31618/essa.2782-1994.2022.1.77.230.

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An analysis of the existing modern technologies of power energy storage systems was carried out for further study of the issues of their placement in distribution systems, as well as their functioning under different operating modes and features of the power system.
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Sorokin, Dmitry. "Battery Energy Storage System Placement And Sizing In Distribution Networks." E3S Web of Conferences 584 (2024): 01010. http://dx.doi.org/10.1051/e3sconf/202458401010.

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The article discusses the methodology for selecting installation locations and parameters of battery energy storage systems (BESS) in electrical distribution networks. The methodology is applicable to BESS which implement the functions of ensuring the reliability of power supply to consumers (use of BESS as a backup or emergency source of power supply), as well as the function of regulating voltage levels in the electrical network (regulating reactive power by the BESS inverter).
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Chowdhury, Nayeem, Fabrizio Pilo, and Giuditta Pisano. "Optimal Energy Storage System Positioning and Sizing with Robust Optimization." Energies 13, no. 3 (2020): 512. http://dx.doi.org/10.3390/en13030512.

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Energy storage systems can improve the uncertainty and variability related to renewable energy sources such as wind and solar create in power systems. Aside from applications such as frequency regulation, time-based arbitrage, or the provision of the reserve, where the placement of storage devices is not particularly significant, distributed storage could also be used to improve congestions in the distribution networks. In such cases, the optimal placement of this distributed storage is vital for making a cost-effective investment. Furthermore, the now reached massive spread of distributed ren
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Tyagi, Animesh. "College Placement Portal System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 3410–13. http://dx.doi.org/10.22214/ijraset.2023.52363.

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Abstract: In this paper College Placement Program. A program that aims to improve an online application for training and the student placement department of our college. The program is an application that can be found throughout the college with correct access provided. This application can be used as an application of Training and Placement (TPO) officers of the college to manage student information about placement. Student sign-in should be able to upload their information to CV form. The application provides storage space for student details. It also provides the requested list of selected
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Mohammed, Salheen Alatshan, Alhamrouni Ibrahim, Sutikno Tole, and Jusoh Awang. "Application of static synchronous compensator and energy storage system for power system stability enhancement." Bulletin of Electrical Engineering and Informatics 9, no. 6 (2020): 2222–34. https://doi.org/10.11591/eei.v9i6.2319.

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The major drivers of the quest for optimal placement of flexible alternating current transmission system (FACTS) devices are the quest for smart grids and economic indicators. The demand for energy and power stability will continue much as the astronomic growth in industries and increase in global population remains. The aim of this paper is to deliver a panoramic view of the use of static synchronous compensator (STATCOM) in combination with energy storage system (ESS) in order to enhance power stability. In this paper, it was observed that application of ESS is an important factor in attaini
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Alatshan, Mohammed Salheen, Ibrahim Alhamrouni, Tole Sutikno, and Awang Jusoh. "Application of static synchronous compensator and energy storage system for power system stability enhancement." Bulletin of Electrical Engineering and Informatics 9, no. 6 (2020): 2222–34. http://dx.doi.org/10.11591/eei.v9i6.2319.

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The major drivers of the quest for optimal placement of flexible alternating current transmission system (FACTS) devices are the quest for smart grids and economic indicators. The demand for energy and power stability will continue much as the astronomic growth in industries and increase in global population remains. The aim of this paper is to deliver a panoramic view of the use of static synchronous compensator (STATCOM) in combination with energy storage system (ESS) in order to enhance power stability. In this paper, it was observed that application of ESS is an important factor in attaini
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Jing, Zhipeng, Lipo Gao, Yu Mu, and Dong Liang. "Flexibility-Constrained Energy Storage System Placement for Flexible Interconnected Distribution Networks." Sustainability 16, no. 20 (2024): 9129. http://dx.doi.org/10.3390/su16209129.

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Configuring energy storage systems (ESSs) in distribution networks is an effective way to alleviate issues induced by intermittent distributed generation such as transformer overloading and line congestion. However, flexibility has not been fully taken into account when placing ESSs. This paper proposes a novel ESS placement method for flexible interconnected distribution networks considering flexibility constraints. An ESS siting and sizing model is formulated aiming to minimize the life-cycle cost of ESSs along with the annual network loss cost, electricity purchasing cost from the upper-lev
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Thuan, Thanh Nguyen, Trung Nguyen Thang, and Dung Nguyen Trung. "Minimizing electricity cost by optimal location and power of battery energy storage system using wild geese algorithm." Bulletin of Electrical Engineering and Informatics 12, no. 3 (2023): 1276~1284. https://doi.org/10.11591/eei.v12i3.4779.

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The mismatch between load demand and supply power may increase when distributed generation based on renewable energy sources is connected to the distribution system (DS). This paper shows the optimal battery energy storage system (BESS) placement problem on the DS to minimize the electricity cost. Diverse electricity prices are considered for normal, off-peak and peak hours in a day. Wild geese algorithm (WGA) is applied to optimize the location and power of the BESS. The problem and the efficiency of WGA is validated on the 18-bus DS four scenarios consisting of the DS without BESS placement,
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Kim, Dongmin, Kipo Yoon, Soo Hyoung Lee, and Jung-Wook Park. "Optimal Placement and Sizing of an Energy Storage System Using a Power Sensitivity Analysis in a Practical Stand-Alone Microgrid." Electronics 10, no. 13 (2021): 1598. http://dx.doi.org/10.3390/electronics10131598.

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The energy storage system (ESS) is developing into a very important element for the stable operation of power systems. An ESS is characterized by rapid control, free charging, and discharging. Because of these characteristics, it can efficiently respond to sudden events that affect the power system and can help to resolve congested lines caused by the excessive output of distributed generators (DGs) using renewable energy sources (RESs). In order to efficiently and economically install new ESSs in the power system, the following two factors must be considered: the optimal installation placemen
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Dissertations / Theses on the topic "Energy storage system placement"

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Andersson, Sebastian. "Centralised Distribution Grid Energy Storage Systems : Placement and Utilisation for Grid Expansion Deferment." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149074.

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Following an ongoing change towards an increasingly renewable power generation system Swedish grid operators are facing several challenges in coming years. As authorities plan for the decommissioning of nuclear power an increased reliance on de-centralised energy sources such as photo-voltaic distributed generation (PVDG) is expected. A technology observed in some cases to accompany local power quality issues severe enough to impose grid expansion measures from distribution system operators (DSOs). Considering a combination of an indicative utilisation inefficiency of classical grid expansion
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Das, Choton Kanti. "Smart management strategies of utility-scale energy storage systems in power networks." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2019. https://ro.ecu.edu.au/theses/2209.

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Power systems are presently experiencing a period of rapid change driven by various interrelated issues, e.g., integration of renewables, demand management, power congestion, power quality requirements, and frequency regulation. Although the deployment of Energy Storage Systems (ESSs) has been shown to provide effective solutions to many of these issues, misplacement or non-optimal sizing of these systems can adversely affect network performance. This present research has revealed some novel working strategies for optimal allocation and sizing of utility-scale ESSs to address some important is
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Tena, Frezewd Lemma. "Energy-Efficient Key/Value Store." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-228586.

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Energy conservation is a major concern in todays data centers, which are the 21st century data processing factories, and where large and complex software systems such as distributed data management stores run and serve billions of users. The two main drivers of this major concern are the pollution impact data centers have on the environment due to their waste heat, and the expensive cost data centers incur due to their enormous energy demand. Among the many subsystems of data centers, the storage system is one of the main sources of energy consumption. Among the many types of storage systems,
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Tahat, M. A. "Thermo-chemical energy storage system." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260146.

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Chang, Xiao. "Supercapacitor based energy storage system." Thesis, University of Strathclyde, 2013. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25509.

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The supercapacitor, as a recently developed electrochemical energy storage device, offers extremely high capacitance per unit volume. Due to its unique double-layer structure and electrostatic charge mechanism, the supercapacitor has a much higher power density than the battery, and a much higher energy density than the conventional capacitor. It also benefits from a long cycle life, and wide temperature range. However, limited by a low cell voltage of 2.7V and high equivalent series resistance, the supercapacitor may be inefficient for high power grid level applications. Characteristic analys
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Ranjith, Adam. "Thermal Energy Storage System Construction." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264530.

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In the framework of 2020 PUPM HEAT project three different types of thermal energy storage (TES) systems are being constructed and analyzed at a demonstration site set up at the power plant IREN in Moncalieri, Italy. KTH will assist this project by setting up a validation rig where three TES systems in smaller dimensions will be constructed and analyzed for its performance, to use as guideline for the demonstration site rig. The first TES system that is being constructed is the submerged parallel spiral heat exchanger which is a completely new version of latent heat storage to be tested. For t
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Thaicham, Pruitipong. "Fluidised-MCPCM glazed energy storage system." Thesis, University of Nottingham, 2004. http://eprints.nottingham.ac.uk/11057/.

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The thesis presents an experimental investigation into the feasibility of using a slurry containing a micro encapsulated phase change material (MCPCM), n-eicosane, as a heat transfer fluid for enhanced latent heat transport. Increasing the convective heat transfer coefficient would permit the use of a smaller volumetric flow rate and reduce pumping power. The primary parameters investigated are the volumetric concentrations and flow rates. Measurements of thermal capacity of the novel slurries were performed using two techniques, standard differential scanning calorimeter (DSC) and thermal ana
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Abbey, Chad Michel. "Energy storage system optimization and control with wind energy." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66694.

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This thesis proposes a methodology for planning, scheduling and on-line control of an energy storage system for the integration of wind energy. Using the case study of a remote wind-diesel system, the different time frames of the design and implementation process are detailed. First, a long-term planning approach for rating of the power and energy capacities of the ESS is presented, based on stochastic optimization. The formulation is then adapted into a hourly scheduling approach and results are compared with the expected cost of energy and energy requirements resulting from
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Rosen, Josefin, and Frida Nilsson. "Decentralized Polygeneration Energy System : Energy Storage Requirements & Challenges." Thesis, KTH, Energiteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190834.

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Due to the recent development of small-scale energy technologies, the energy industry is changing from a centralized to a more decentralized energy system. And because of the current problems with limited energy sources it is now important to focus on renewable energy sources and how to store the energy for later use. One solution is polygeneration system. A Polygeneration energy system is a system that combines heat, cold and power generation. Therefor it is a flexible system that can easily be modified depending on the size of the system, its application, the demands and other requirements.
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Rydberg, Lova. "RTDS modelling of battery energy storage system." Thesis, Uppsala universitet, Elektricitetslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155960.

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This thesis describes the development of a simplified model of a battery energy storage. The battery energy storage is part of the ABB energy storage system DynaPeaQ®. The model has been built to be run in RTDS, a real time digital simulator. Batteries can be represented by equivalent electric circuits, built up of e.g voltage sources and resistances. The magnitude of the components in an equivalent circuit varies with a number of parameters, e.g. state of charge of the battery and current flow through the battery. In order to get a model of how the resistive behaviour of the batteries is infl
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Books on the topic "Energy storage system placement"

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Raza, Stephen Tsvangirayi. Compressed-air energy storage system analysis. Laurentian University, School of Engineering, 1993.

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C, Willhoite Bryon, Ommering Gert van, and Lewis Research Center, eds. Energy storage and thermal control system design status. National Aeronautics and Space Administration, Lewis Research Center, 1989.

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Sohn, C. W. Chilled water storage cooling system at Fort Jackson, SC. US Army Corps of Engineers, Construction Engineering Research Laboratories, 1998.

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Institution of Engineering and Technology and Knovel (Firm), eds. Energy storage for power systems. 2nd ed. Institution of Engineering and Technology, 2011.

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E, Kascak Peter, and NASA Glenn Research Center, eds. DC bus regulation with a flywheel energy storage system. National Aeronautics and Space Administration, Glenn Research Center, 2003.

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E, Kascak Peter, and NASA Glenn Research Center, eds. DC bus regulation with a flywheel energy storage system. National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Simpson, Andrew. Energy storage system considerations for grid-charged hybrid electric vehicles. U.S. Dept. of Energy, National Renewable Energy Laboratory, Office of Energy Efficiency & Renewable Energy, 2005.

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E, Coles-Hamilton Carolyn, Lacy Dovie E, and United States. National Aeronautics and Space Administration., eds. Impact of thermal energy storage properties on solar dynamic space power conversion system mass. National Aeronautics and Space Administration, 1987.

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Gevorgian, V. Ramping performance analysis of the Kahuku wind-energy battery storage system. National Renewable Energy Laboratory, 2013.

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Bose, Bimal K. Advanced propulsion power distribution system for next generation electric/hybrid vehicle: Phase I, preliminary system studies : final report. National Aeronautics and Space Administration, Lewis Research Center, 1995.

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Book chapters on the topic "Energy storage system placement"

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Bilal, Mohd, and M. Rizwan. "A meta-heuristic-based optimal placement of distributed generation sources integrated with electric vehicle parking lot in distribution network." In Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003311195-10.

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Goli, Preetham, Srikanth Yelem, Kiran Jasthi, Srinivasa Rao Gampa, and D. Das. "Optimum Placement of Battery Energy Storage Systems and Solar PV Units in Distribution Networks Using Gravitational Search Algorithm." In Atlantis Highlights in Intelligent Systems. Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6239-266-3_11.

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Goli, Preetham, Srikanth Yelem, Kiran Jasthi, Srinivasa Rao Gampa, and D. Das. "Optimum Placement of Battery Energy Storage Systems and Solar PV Units in Distribution Networks Using Gravitational Search Algorithm." In Atlantis Highlights in Intelligent Systems. Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-074-9_11.

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Hissel, Daniel, Denis Candusso, and Marie-Cécile Pera. "Fuel Cells: System Operation." In Energy Storage. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557808.ch7.

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Price, A. C. R. "The RegenesysTMEnergy Storage System." In Renewable Energy Storage. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118903070.ch2.

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Ali, Hafiz Muhammad, Furqan Jamil, and Hamza Babar. "Thermal Energy Storage System." In Thermal Energy Storage. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1131-5_2.

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Pottier, J. D., and E. Blondin. "Mass Storage of Hydrogen." In Hydrogen Energy System. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0111-0_11.

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Soroudi, Alireza. "Energy Storage Systems." In Power System Optimization Modeling in GAMS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62350-4_7.

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Komarnicki, Przemyslaw, Pio Lombardi, and Zbigniew Styczynski. "Electric Energy Storage System." In Electric Energy Storage Systems. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53275-1_2.

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Atcitty, Stan, Jason Neely, David Ingersoll, Abbas Akhil, and Karen Waldrip. "Battery Energy Storage System." In Power Electronics for Renewable and Distributed Energy Systems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5104-3_9.

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Conference papers on the topic "Energy storage system placement"

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Arthur, Fredrica, Farshad Amani, Amin Kargarian, and Frederick Weil. "Community-Aware Reliability Metrics for Strategic Battery Storage Placement in Distribution Systems." In 2025 IEEE Texas Power and Energy Conference (TPEC). IEEE, 2025. https://doi.org/10.1109/tpec63981.2025.10906931.

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Charoenpanon, Pongpisit, Somporn Sirisumrannukul, Ongorn Rattananatthawon, and Noppatee Sabpayakom. "Optimal Placement and Sizing of Energy Storage Systems in Low Voltage Distribution Network." In 2024 IEEE International Smart Cities Conference (ISC2). IEEE, 2024. https://doi.org/10.1109/isc260477.2024.11004270.

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Skunana, Nkululeko, and Komla A. Folly. "Optimal Placement of Battery Energy Storage System for Voltage Profile Improvement and Reduction of Power Losses." In 2025 33rd Southern African Universities Power Engineering Conference (SAUPEC). IEEE, 2025. https://doi.org/10.1109/saupec65723.2025.10944322.

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Wei, Shibo, Liping Jiang, Xiaojun Zhang, and Jingwen Zhang. "Optimal Sensor Placement and Battery Pack Configuration in Electrochemical Energy Storage Systems: A Mixed-Integer Non-Linear Programming Approach." In 2024 3rd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT). IEEE, 2024. https://doi.org/10.1109/ccpqt64497.2024.00056.

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Kazi, Monzure-Khoda, Akhilesh Gandhi, and M. M. Faruque Hasan. "Process and Network Design for Sustainable Hydrogen Economy." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.125411.

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This study presents a comprehensive approach to optimizing hydrogen supply chain network (HSCN), focusing initially on Texas, with potential scalability to national and global regions. Utilizing mixed-integer nonlinear programming (MINLP), the research decomposes into two distinct modeling stages: broad supply chain modeling and detailed hub-specific analysis. The first stage identifies optimal hydrogen hub locations, considering county-level hydrogen demand, renewable energy availability, and grid capacity. It determines the number and placement of hubs, county participation within these hubs
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Damian, Sophea Elmmydya, and Ling Ai Wong. "Optimal Energy Storage Placement and Sizing in Distribution System." In 2022 IEEE International Conference in Power Engineering Application (ICPEA). IEEE, 2022. http://dx.doi.org/10.1109/icpea53519.2022.9744639.

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Badar, Altaf Q. H., and Debasmita Panda. "Battery Energy Storage Systems: Optimal Sizing and Placement for Distribution System." In 2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC). IEEE, 2023. http://dx.doi.org/10.1109/stpec59253.2023.10431204.

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Hill, Jesse, and Chika Nwankpa. "Battery energy storage dispatch analysis within the storage placement problem." In 2017 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2017. http://dx.doi.org/10.1109/iscas.2017.8050927.

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Narimani, A., G. Nourbakhsh, G. F. Ledwich, and G. R. Walker. "Storage optimum placement in distribution system including renewable energy resources." In 2016 Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2016. http://dx.doi.org/10.1109/aupec.2016.7749325.

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Ye, Xiaming, Hongliang Chen, Lijun Ma, Ruyi Qin, Fan Bai, and Jiajie Liu. "Optimal Placement of Hybrid Energy Storage for Mitigating Renewable Energy Generation Fluctuations." In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2023. http://dx.doi.org/10.1109/ei259745.2023.10513290.

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Reports on the topic "Energy storage system placement"

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Gonder, J., J. Cosgrove, Y. Shi, A. Saxon, and A. Pesaran. Lower-Energy Energy Storage System (LEESS) Component Evaluation. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1159783.

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Thomas, Janice, and Frank Ervin. Modular Energy Storage System for Alternative Energy Vehicles. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1064406.

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Balducci, Patrick J., Md Jan E. Alam, Thomas E. McDermott, et al. Nantucket Island Energy Storage System Assessment. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1564262.

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Walker, Andy, and Jal Desai. Battery Energy Storage System Evaluation Method. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2279165.

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Hoffman, Michael G., Michael CW Kintner-Meyer, Artyom Sadovsky, and John G. DeSteese. Analysis Tools for Sizing and Placement of Energy Storage for Grid Applications - A Literature Review. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/990130.

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Meth, M. SYSTEM ANALYSIS OF ELECTRICAL ENERGY STORAGE SYSTEMS. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/1150507.

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Lu, Ning, Mark R. Weimar, Yuri V. Makarov, Jian Ma, and Vilayanur V. Viswanathan. The Wide-Area Energy Storage and Management System ? Battery Storage Evaluation. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/969906.

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Saeed, Rami, and Terry Morton. Advanced Reactors Integrated Energy System - Thermal Energy Storage Island Design. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2293481.

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Wu, Di, Chunlian Jin, Patrick J. Balducci, and Michael CW Kintner-Meyer. Assessment of Energy Storage Alternatives in the Puget Sound Energy System Volume 2: Energy Storage Evaluation Tool. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1114904.

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Rose, David Martin, Benjamin L. Schenkman, and Daniel R. Borneo. Test report : Raytheon / KTech RK30 Energy Storage System. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1115335.

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