IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v78y2015icp643-647.html
   My bibliography  Save this article

Economic evaluation of batteries planning in energy storage power stations for load shifting

Author

Listed:
  • Han, Xiaojuan
  • Ji, Tianming
  • Zhao, Zekun
  • Zhang, Hao

Abstract

The rapid charging or discharging characteristics of battery energy storage system is an effective method to realize load shifting in distribution network and control the fluctuations of load power substantially. However, the type selection and capacity configuration of the batteries will be directly related to the economy of energy storage system for load shifting in the distribution network. An optimized model of hybrid battery energy storage system based on cooperative game model is proposed in this paper, in which lead-acid battery, lithium ion battery and vanadium redox flow battery are respectively regarded as the participants of the cooperative game model, the cost and benefit models are established in their corresponding game strategy spaces. The Nash equilibrium solutions of each game model obtained by genetic algorithm are applied to the planning and design of battery energy storage station with the most economical types of the batteries and the optimal capacity configuration of energy storage station. The simulation results verify the effectiveness of the proposed method and provide a theoretical basis for the planning and design of battery energy storage station.

Suggested Citation

  • Han, Xiaojuan & Ji, Tianming & Zhao, Zekun & Zhang, Hao, 2015. "Economic evaluation of batteries planning in energy storage power stations for load shifting," Renewable Energy, Elsevier, vol. 78(C), pages 643-647.
    • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:643-647
    DOI: 10.1016/j.renene.2015.01.056
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115000749
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.01.056?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arifujjaman, Md, 2015. "A comprehensive power loss, efficiency, reliability and cost calculation of a 1 MW/500 kWh battery based energy storage system for frequency regulation application," Renewable Energy, Elsevier, vol. 74(C), pages 158-169.
    2. Sheikhi Fini, A. & Parsa Moghaddam, M. & Sheikh-El-Eslami, M.K., 2013. "An investigation on the impacts of regulatory support schemes on distributed energy resource expansion planning," Renewable Energy, Elsevier, vol. 53(C), pages 339-349.
    3. Prodromidis, George N. & Coutelieris, Frank A., 2012. "Simulations of economical and technical feasibility of battery and flywheel hybrid energy storage systems in autonomous projects," Renewable Energy, Elsevier, vol. 39(1), pages 149-153.
    4. Garvey, Seamus D., 2012. "The dynamics of integrated compressed air renewable energy systems," Renewable Energy, Elsevier, vol. 39(1), pages 271-292.
    5. Rezaie, Behnaz & Reddy, Bale V. & Rosen, Marc A., 2015. "Exergy analysis of thermal energy storage in a district energy application," Renewable Energy, Elsevier, vol. 74(C), pages 848-854.
    6. Jones, Byron W. & Powell, Robert, 2015. "Evaluation of distributed building thermal energy storage in conjunction with wind and solar electric power generation," Renewable Energy, Elsevier, vol. 74(C), pages 699-707.
    7. Huang, Ke-Long & Li, Xiao-gang & Liu, Su-qin & Tan, Ning & Chen, Li-quan, 2008. "Research progress of vanadium redox flow battery for energy storage in China," Renewable Energy, Elsevier, vol. 33(2), pages 186-192.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    2. Motalleb, Mahdi & Siano, Pierluigi & Ghorbani, Reza, 2019. "Networked Stackelberg Competition in a Demand Response Market," Applied Energy, Elsevier, vol. 239(C), pages 680-691.
    3. Wu, Wei & Lin, Boqiang, 2018. "Application value of energy storage in power grid: A special case of China electricity market," Energy, Elsevier, vol. 165(PB), pages 1191-1199.
    4. Olaszi, Balint D. & Ladanyi, Jozsef, 2017. "Comparison of different discharge strategies of grid-connected residential PV systems with energy storage in perspective of optimal battery energy storage system sizing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 710-718.
    5. Yang, Jie & Yu, Fan & Ma, Kai & Yang, Bo & Yue, Zhiyuan, 2024. "Optimal scheduling of electric-hydrogen integrated charging station for new energy vehicles," Renewable Energy, Elsevier, vol. 224(C).
    6. Liao, Weineng & Jiang, Fengjing & Zhang, Yue & Zhou, Xinjie & He, Zongqi, 2020. "Highly-conductive composite bipolar plate based on ternary carbon materials and its performance in redox flow batteries," Renewable Energy, Elsevier, vol. 152(C), pages 1310-1316.
    7. Nan Li & Haining Zhang & Xiangcheng Zhang & Xue Ma & Sen Guo, 2020. "How to Select the Optimal Electrochemical Energy Storage Planning Program? A Hybrid MCDM Method," Energies, MDPI, vol. 13(4), pages 1-20, February.
    8. Wang, Guotao & Liao, Qi & Wang, Chang & Liang, Yongtu & Zhang, Haoran, 2022. "Multiperiod optimal planning of biofuel refueling stations: A bi-level game-theoretic approach," Renewable Energy, Elsevier, vol. 200(C), pages 1152-1165.
    9. Tang, Hong & Wang, Shengwei & Li, Hangxin, 2021. "Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective," Energy, Elsevier, vol. 219(C).
    10. An, Qing & Peng, Jian, 2023. "Parameter identification of lithium battery pack based on novel cooperatively coevolving differential evolution algorithm," Renewable Energy, Elsevier, vol. 216(C).
    11. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
    12. Aviad Navon & Gefen Ben Yosef & Ram Machlev & Shmuel Shapira & Nilanjan Roy Chowdhury & Juri Belikov & Ariel Orda & Yoash Levron, 2020. "Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review," Energies, MDPI, vol. 13(15), pages 1-35, August.
    13. Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    14. Xiaojuan Han & Feng Wang & Chunguang Tian & Kai Xue & Junfeng Zhang, 2018. "Economic Evaluation of Actively Consuming Wind Power for an Integrated Energy System Based on Game Theory," Energies, MDPI, vol. 11(6), pages 1-25, June.
    15. Bonhyun Gu & Heeyun Lee & Changbeom Kang & Donghwan Sung & Sanghoon Lee & Sunghyun Yun & Sung Kwan Park & Gu-Young Cho & Namwook Kim & Suk Won Cha, 2020. "Receding Horizon Control of Cooling Systems for Large-Size Uninterruptible Power Supply Based on a Metal-Air Battery System," Energies, MDPI, vol. 13(7), pages 1-15, April.
    16. Wiesheu, Michael & Rutešić, Luka & Shukhobodskiy, Alexander Alexandrovich & Pogarskaia, Tatiana & Zaitcev, Aleksandr & Colantuono, Giuseppe, 2021. "RED WoLF hybrid storage system: Adaptation of algorithm and analysis of performance in residential dwellings," Renewable Energy, Elsevier, vol. 179(C), pages 1036-1048.
    17. Xu, Wenqiang & Wu, Xiaogang & Li, Yalun & Wang, Hewu & Lu, Languang & Ouyang, Minggao, 2023. "A comprehensive review of DC arc faults and their mechanisms, detection, early warning strategies, and protection in battery systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    18. Hau, Lee Cheun & Lim, Yun Seng & Liew, Serena Miao San, 2020. "A novel spontaneous self-adjusting controller of energy storage system for maximum demand reductions under penetration of photovoltaic system," Applied Energy, Elsevier, vol. 260(C).
    19. Hina Fathima A & Kaliannan Palanisamy & Sanjeevikumar Padmanaban & Umashankar Subramaniam, 2018. "Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System," Energies, MDPI, vol. 11(10), pages 1-18, October.
    20. Sheng-Qiang Gu & Yong Liu & Hao Yu, 2023. "Power battery recycling strategy with government rewards and punishments," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 501-526, March.
    21. Abu Eldahab, Yasser E. & Saad, Naggar H. & Zekry, Abdalhalim, 2016. "Enhancing the design of battery charging controllers for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 646-655.
    22. Guo, Zhen & Pu, Ziqiang & Du, Wenliao & Wang, Hongcao & Li, Chuan, 2022. "Improved adversarial learning for fault feature generation of wind turbine gearbox," Renewable Energy, Elsevier, vol. 185(C), pages 255-266.
    23. Chowdhury, Jahedul Islam & Balta-Ozkan, Nazmiye & Goglio, Pietro & Hu, Yukun & Varga, Liz & McCabe, Leah, 2020. "Techno-environmental analysis of battery storage for grid level energy services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wiesheu, Michael & Rutešić, Luka & Shukhobodskiy, Alexander Alexandrovich & Pogarskaia, Tatiana & Zaitcev, Aleksandr & Colantuono, Giuseppe, 2021. "RED WoLF hybrid storage system: Adaptation of algorithm and analysis of performance in residential dwellings," Renewable Energy, Elsevier, vol. 179(C), pages 1036-1048.
    2. Efstathios E. Michaelides, 2021. "Thermodynamics, Energy Dissipation, and Figures of Merit of Energy Storage Systems—A Critical Review," Energies, MDPI, vol. 14(19), pages 1-41, September.
    3. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    5. Barelli, L. & Bidini, G. & Bonucci, F. & Castellini, L. & Fratini, A. & Gallorini, F. & Zuccari, A., 2019. "Flywheel hybridization to improve battery life in energy storage systems coupled to RES plants," Energy, Elsevier, vol. 173(C), pages 937-950.
    6. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    7. Alva, Guruprasad & Lin, Yaxue & Fang, Guiyin, 2018. "An overview of thermal energy storage systems," Energy, Elsevier, vol. 144(C), pages 341-378.
    8. Aryani, Morteza & Ahmadian, Mohammad & Sheikh-El-Eslami, Mohammad-Kazem, 2020. "Designing a regulatory tool for coordinated investment in renewable and conventional generation capacities considering market equilibria," Applied Energy, Elsevier, vol. 279(C).
    9. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    10. Zhang, Youjun & Hao, Junhong & Ge, Zhihua & Zhang, Fuxiang & Du, Xiaoze, 2021. "Optimal clean heating mode of the integrated electricity and heat energy system considering the comprehensive energy-carbon price," Energy, Elsevier, vol. 231(C).
    11. Chakrabarti, Mohammed Harun & Mjalli, Farouq Sabri & AlNashef, Inas Muen & Hashim, Mohd. Ali & Hussain, Mohd. Azlan & Bahadori, Laleh & Low, Chee Tong John, 2014. "Prospects of applying ionic liquids and deep eutectic solvents for renewable energy storage by means of redox flow batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 254-270.
    12. Wang, Zhiwen & Xiong, Wei & Ting, David S.-K. & Carriveau, Rupp & Wang, Zuwen, 2016. "Conventional and advanced exergy analyses of an underwater compressed air energy storage system," Applied Energy, Elsevier, vol. 180(C), pages 810-822.
    13. Poudineh, Rahmatallah & Jamasb, Tooraj, 2014. "Distributed generation, storage, demand response and energy efficiency as alternatives to grid capacity enhancement," Energy Policy, Elsevier, vol. 67(C), pages 222-231.
    14. Rusin, Krzysztof & Ochmann, Jakub & Bartela, Łukasz & Rulik, Sebastian & Stanek, Bartosz & Jurczyk, Michał & Waniczek, Sebastian, 2022. "Influence of geometrical dimensions and particle diameter on exergy performance of packed-bed thermal energy storage," Energy, Elsevier, vol. 260(C).
    15. Pimm, Andrew J. & Garvey, Seamus D. & de Jong, Maxim, 2014. "Design and testing of Energy Bags for underwater compressed air energy storage," Energy, Elsevier, vol. 66(C), pages 496-508.
    16. Shkolnikov, E.I. & Zhuk, A.Z. & Vlaskin, M.S., 2011. "Aluminum as energy carrier: Feasibility analysis and current technologies overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4611-4623.
    17. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    18. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    19. Li, Xiwang & Wen, Jin & Malkawi, Ali, 2016. "An operation optimization and decision framework for a building cluster with distributed energy systems," Applied Energy, Elsevier, vol. 178(C), pages 98-109.
    20. Xu, Q. & Zhao, T.S. & Zhang, C., 2014. "Effects of SOC-dependent electrolyte viscosity on performance of vanadium redox flow batteries," Applied Energy, Elsevier, vol. 130(C), pages 139-147.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:78:y:2015:i:c:p:643-647. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.