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Abstract
Interest in the development of grid-level energy storage systems has increased over the years. As one of the most popular energy storage technologies currently available, batteries offer a number of high-value opportunities due to their rapid responses, flexible installation, and excellent performances. However, because of the complexity, multifunctionality, and wide deployment of power grids, trade-offs in battery performance exist, especially when considering economics, environmental effects, and safety. Therefore, establishing a comprehensive assessment of battery technologies is an urgent undertaking. In this work, we present an analysis of rough sets to evaluate the integration of battery systems (e.g., lead–acid batteries, lithium-ion batteries, nickel/metal–hydrogen batteries, zinc–air batteries, and Na–S batteries) into a power grid. Specifically, technological properties, economic significance, environmental effects, and safety of these battery systems are evaluated on the basis of rough set theory. In addition, some perspectives are provided to promote the development of battery technologies for grid-level energy storage.
Keywords
Grid-level energy storage
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Battery
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Assessment
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Rough set theory
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Zhiyuan Xie, Liang Du, Xiaojun Lv, Qing Wang, Jianglei Huang, Tianyi Fu, Shengyue Li.
Evaluation and Analysis of Battery Technologies Applied to Grid-Level Energy Storage Systems Based on Rough Set Theory.
Transactions of Tianjin University, 2020, 26(3): 228-235 DOI:10.1007/s12209-020-00237-9
| [1] |
Zhang C, Wei YL, Cao PF, et al. Energy storage system: current studies on batteries and power condition system. Renew Sustain Energy Rev, 2018, 82: 3091-3106.
|
| [2] |
Wen GH, Hu GQ, Hu JQ, et al. Frequency control of source-grid-load systems: a compound control strategy. IEEE Trans Ind Inf, 2015, 12: 69-78.
|
| [3] |
Lu C, Xu HC, Pan X, et al. Optimal sizing and control of battery energy storage system for peak load shaving. Energies, 2014, 7(12): 8396-8410.
|
| [4] |
Kong CY, Wu SF, Sun Y, et al. Vanadium redox battery system and its energy storage application in wind farm. Adv Mater Res, 2011, 282–283: 112-115.
|
| [5] |
Parker CD. Lead-acid battery energy-storage systems for electricity supply networks. J Power Sources, 2001, 100(1–2): 18-28.
|
| [6] |
Alotto P, Guarnieri M, Moro F. Redox flow batteries for the storage of renewable energy: a review. Renew Sustain Energy Rev, 2014, 29: 325-335.
|
| [7] |
Hameer S, van Niekerk JL. A review of large-scale electrical energy storage. Int J Energy Res, 2015, 39(9): 1179-1195.
|
| [8] |
Guo L, Zhang S, Xie J, et al. Controlled synthesis of nanosized Si by magnesiothermic reduction from diatomite as anode material for Li-ion batteries. Int J Min Met Mater, 2020, 27: 1-11.
|
| [9] |
Fu J, Liang RL, Liu GH, et al. Recent progress in electrically rechargeable zinc–air batteries. Adv Mater, 2019, 31(31): 1805230
|
| [10] |
Ud Din M, Ramakumar S, Indu MS, et al. Advances in electrolytes for high capacity rechargeable lithium–sulphur batteries. Curr Smart Mater, 2019, 4: 1
|
| [11] |
Hueso KB, Armand M, Rojo T. High temperature sodium batteries: status, challenges and future trends. Energy Environ Sci, 2013, 6(3): 734-749.
|
| [12] |
Dunn B, Kamath H, Tarascon JM. Electrical energy storage for the grid: a battery of choices. Science, 2011, 334(6058): 928-935.
|
| [13] |
Xu BL, Oudalov A, Ulbig A, et al. Modeling of lithium-ion battery degradation for cell life assessment. IEEE Trans Smart Grid, 2018, 9(2): 1131-1140.
|
| [14] |
Deng YL, Li JY, Li TH, et al. Life cycle assessment of lithium sulfur battery for electric vehicles. J Power Sour, 2017, 343: 284-295.
|
| [15] |
Assunção A, Moura PS, de Almeida AT. Technical and economic assessment of the secondary use of repurposed electric vehicle batteries in the residential sector to support solar energy. Appl Energy, 2016, 181: 120-131.
|
| [16] |
Fares RL, Webber ME. Combining a dynamic battery model with high-resolution smart grid data to assess microgrid islanding lifetime. Appl Energy, 2015, 137: 482-489.
|
| [17] |
Pawlak Z. Vagueness and uncertainty: a rough set perspective. Comput Intell, 1995, 11(2): 227-232.
|
| [18] |
Rissino S, Lambert-Torres G. Ponce J, Karahoca A. Rough set theory-fundamental concepts, principals, data extraction, and applications. Data mining and knowledge discovery in real life applications: I, 2009, Vienna: Tech Education and Publishing.
|
| [19] |
Pawlak Z. Rough set theory and its applications to data analysis. Cybern Syst, 1998, 29(7): 661-688.
|
| [20] |
Yao YY. A comparative study of fuzzy sets and rough sets. Inf Sci, 1998, 109(1–4): 227-242.
|
| [21] |
Shidpour H, da Cunha C, Bernard A. Group multi-criteria design concept evaluation using combined rough set theory and fuzzy set theory. Expert Syst Appl, 2016, 64: 633-644.
|
| [22] |
Agreira Cif, Ferreira Cmm, Pinto JD et al (2004) Electric power systems steady-state security assessment using the rough set theory. In: 2004 international conference on probabilistic methods applied to power systems. Ames, USA, pp 873–877
|
| [23] |
Li H, Li DY, Zhai YH. A novel attribute reduction approach for multi-label data based on rough set theory. Inform Sci, 2016, 367: 827-847.
|
| [24] |
Jelonek J, Krawiec K, Slowiński R. Rough set reduction of attributes and their domains for neural networks. Comput Intell, 1995, 11(2): 339-347.
|
| [25] |
Hor CL, Crossley PA. Substation event analysis using information from intelligent electronic devices. Int J Electr Power Energy Syst, 2006, 28(6): 374-386.
|
| [26] |
Sharma S, Dua A, Singh M, et al. Fuzzy rough set based energy management system for self-sustainable smart City. Renew Sustain Energy Rev, 2018, 82: 3633-3644.
|
| [27] |
Bai CG, Sarkis J. Green supplier development: analytical evaluation using rough set theory. J Clean Prod, 2010, 18(12): 1200-1210.
|
| [28] |
Ji ZG, Zhang PJ, Zhao ZW (2009) Application of wavelet neutral network and rough set theory to forecast mid-long-term electric power load. In: 2009 first international workshop on education technology and computer science, March 7–8, 2009. Wuhan, Hubei, China
|
| [29] |
Barelli L, Bidini G, Bonucci F. A micro-grid operation analysis for cost-effective battery energy storage and RES plants integration. Energy, 2016, 113: 831-844.
|
| [30] |
Chen HS, Cong TN, Yang W, et al. Progress in electrical energy storage system: a critical review. Prog Nat Sci, 2009, 19(3): 291-312.
|
| [31] |
Chacra FA, Bastard P, Fleury G, et al. Impact of energy storage costs on economical performance in a distribution substation. IEEE Trans Power Syst, 2005, 20(2): 684-691.
|
| [32] |
Fan XY, Liu XR, Hu WB, et al. Advances in the development of power supplies for the Internet of Everything. InfoMat, 2019, 1(2): 130-139.
|
| [33] |
Alhamali A, Farrag ME, Bevan G et al (2016) Review of energy storage systems in electric grid and their potential in distribution networks. In: 2016 Eighteenth international middle east power systems conference (MEPCON) Cairo, Egypt
|
| [34] |
Mousazadeh H, Keyhani A, Javadi A, et al. Evaluation of alternative battery technologies for a solar assist plug-in hybrid electric tractor. Transp Res Part D Transp Environ, 2010, 15(8): 507-512.
|
| [35] |
Li YB, Fu J, Zhong C, et al. Batteries: Recent advances in flexible zinc-based rechargeable batteries (adv Energy mater 1/2019). Adv Energy Mater, 2019, 9(1): 1970001
|
| [36] |
Luo X, Wang JH, Dooner M, et al. Overview of current development in electrical energy storage technologies and the application potential in power system operation. Appl Energy, 2015, 137: 511-536.
|
| [37] |
Sun YT, Liu XR, Jiang YM, et al. Recent advances and challenges in divalent and multivalent metal electrodes for metal–air batteries. J Mater Chem A, 2019, 7(31): 18183-18208.
|
| [38] |
Wang YJ, Fang BZ, Zhang D, et al. A review of carbon-composited materials as air-electrode bifunctional electrocatalysts for metal–air batteries. Electrochem Energ Rev, 2018, 1(1): 1-34.
|
| [39] |
Liu XR, Yuan YF, Liu J, et al. Utilizing solar energy to improve the oxygen evolution reaction kinetics in zinc–air battery. Nat Commun, 2019, 10: 4767
|
| [40] |
Zhao ZQ, Fan XY, Ding J, et al. Challenges in zinc electrodes for alkaline zinc–air batteries: obstacles to commercialization. ACS Energy Lett, 2019, 4(9): 2259-2270.
|
| [41] |
Fan XY, Liu J, Song ZS, et al. Porous nanocomposite gel polymer electrolyte with high ionic conductivity and superior electrolyte retention capability for long-cycle-life flexible zinc–air batteries. Nano Energy, 2019, 56: 454-462.
|
| [42] |
Li M, Liu B, Fan XY, et al. Long-shelf-life polymer electrolyte based on tetraethylammonium hydroxide for flexible zinc–air batteries. ACS Appl Mater Interfaces, 2019, 11(32): 28909-28917.
|
| [43] |
Li L, Zhang XX, Li M, et al. The recycling of spent lithium-ion batteries: a review of current processes and technologies. Electrochem Energ Rev, 2018, 1(4): 461-482.
|
| [44] |
Ding J, Zhang HL, Zhou H, et al. Potassium-ion batteries: sulfur-grafted hollow carbon spheres for potassium-ion battery anodes (adv Mater 30/2019). Adv Mater, 2019, 31(30): 1970217
|