Optimal Planning of Battery Energy Storage Systems by Considering Battery Degradation due to Ambient Temperature: A Review, Challenges, and New Perspective
Source abstract
Abstract
In recent years, the goal of lowering emissions to minimize the harmful impacts of climate change has emerged as a consensus objective among members of the international community through the increase in renewable energy sources (RES), as a step toward net-zero emissions. The drawbacks of these energy sources are unpredictability and dependence on nature, leading to unstable load power supply risk. One way to overcome instability in the power supply is by using a battery energy storage system (BESS). Therefore, this study provides a detailed and critical review of sizing and siting optimization of BESS, their application challenges, and a new perspective on the consequence of degradation from the ambient temperature. It also reviews advanced battery optimization planning that considers battery degradation, technologies, degradation, objective function, and design constraints. Furthermore, it examines the challenges encountered in developing the BESS optimization model and evaluates the scope of the proposed future direction to improve the optimized BESS, especially its battery.
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Research context
OpenAlex topics: Advanced Battery Technologies Research · Advanced battery technologies research · Electric Vehicles and Infrastructure
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Information Engineering, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Department of Electrical Engineering, Universitas Sebelas Maret, Surakarta 57126, Indonesia
Center for Energy Studies, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Funding
Directorate General of Higher Education (DIKTI) · Ministry of Education, Culture, Research and Technology · Penelitian Disertasi Doktor (PDD)
References (100+)
Show source-provided references
1. IESR (2022). Indonesia Energy Transition Outlook 2022. Tracking Progress of Energy Transition in Indonesia: Aiming for Net-Zero Emissions by 2050, Institute for Essential Services Reform (IESR).
2. Parmeshwarappa, P., Gundlapalli, R., and Jayanti, S. (2021). Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load. Batteries, 7.10.3390/batteries7030062 ↗
3. Analysis and Sizing of Mini-Grid Hybrid Renewable Energy System for Islands10.1109/ACCESS.2020.2983172 ↗
4. Optimal Coordination of Building Loads and Energy Storage for Power Grid and End User Services10.1109/TSG.2017.2655083 ↗
5. Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems—A review10.1016/j.rser.2017.05.201 ↗
6. Implementation of large-scale Li-ion battery energy storage systems within the EMEA region10.1016/j.apenergy.2019.114166 ↗
7. Gupta, P., Pandit, M., and Kothari, D.P. (2014, January 5–7). A review on optimal sizing and siting of distributed generation system: Integrating distributed generation into the grid. Proceedings of the 2014 6th IEEE Power India International Conference (PIICON), Delhi, India.10.1109/POWERI.2014.7117648 ↗
8. Eyer, J., and Corey, G. (2010). Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide A Study for the DOE Energy Storage Systems Program, Sandia National Laboratories (SNL).10.2172/1031895 ↗
9. Energy Storage Systems for Transport and Grid Applications10.1109/TIE.2010.2076414 ↗
10. Energy storage system expansion planning in power systems: A review10.1049/iet-rpg.2018.0089 ↗
11. Impact of Electric Vehicles on the Expansion Planning of Distribution Systems Considering Charging Stations10.1109/TSG.2017.2752303 ↗
12. Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications10.1016/j.rser.2020.110022 ↗
13. Bowen, T., Chernyakhovskiy, I., and Denholm, P.L. (2018). Grid-Scale Battery Storage: Frequently Asked Questions, National Renewable Energy Lab.(NREL).10.2172/1561843 ↗
14. Battery energy storage system size determination in renewable energy systems: A review10.1016/j.rser.2018.03.047 ↗
15. Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues10.1016/j.est.2021.103023 ↗
16. A review of energy storage technologies for wind power applications10.1016/j.rser.2012.01.029 ↗
17. Akinyele, D., Belikov, J., and Levron, Y. (2017). Battery Storage Technologies for Electrical Applications: Impact in Stand-Alone Photovoltaic Systems. Energies, 10.10.3390/en10111760 ↗
18. Battery Energy Storage Models for Optimal Control10.1109/ACCESS.2019.2957698 ↗
19. (2022, September 05). TESLA, “Powerwall”. Available online: https://www.tesla.com/powerwall.
20. A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries10.1016/j.jpowsour.2014.02.012 ↗
21. Cycle-life model for graphite-LiFePO4 cells10.1016/j.jpowsour.2010.11.134 ↗
22. Smith, K., Saxon, A., Keyser, M., Lundstrom, B., Cao, Z., and Roc, A. (2017, January 24–26). Life prediction model for grid-connected Li-ion battery energy storage system. Proceedings of the 2017 American Control Conference (ACC), Seattle, WA, USA.10.23919/ACC.2017.7963578 ↗
23. Energy efficiency of Li-ion battery packs re-used in stationary power applications
24. Embedding scrapping criterion and degradation model in optimal operation of peak-shaving lithium-ion battery energy storage10.1016/j.apenergy.2020.115601 ↗
25. Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability10.1016/j.apenergy.2019.114282 ↗
26. Xu, B., Zhao, J., Zheng, T., Litvinov, E., and Kirschen, D. (2018, January 5–10). Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets. Proceedings of the 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, USA.10.1109/PESGM.2018.8586232 ↗
27. Battery aging in multi-energy microgrid design using mixed integer linear programming10.1016/j.apenergy.2018.09.185 ↗
28. A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life10.1109/TII.2020.3008223 ↗
29. Data-driven prediction of battery cycle life before capacity degradation10.1038/s41560-019-0356-8 ↗
30. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., Altman, D., Antes, G., Atkins, D., Barbour, V., Barrowman, N., and Berlin, J.A. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med., 6.10.1371/journal.pmed.1000097 ↗
31. Energy storage capacity allocation for distribution grid applications considering the influence of ambient temperature10.1049/esi2.12054 ↗
32. A Comprehensive Battery Energy Storage Optimal Sizing Model for Microgrid Applications10.1109/TPWRS.2017.2769639 ↗
33. Planning and Operation of Isolated Microgrids Based on Repurposed Electric Vehicle Batteries10.1109/TII.2019.2895038 ↗
34. Optimized PV-coupled battery systems for combining applications: Impact of battery technology and geography10.1016/j.rser.2019.06.003 ↗
35. Degradation and Operation-Aware Framework for the Optimal Siting, Sizing, and Technology Selection of Battery Storage10.1109/TSTE.2019.2950723 ↗
36. Mohy-Ud-Din, G., Vu, D.H., Muttaqi, K.M., and Sutanto, D. (October, January 29). An Integrated Energy Management Approach for the Economic Operation of Industrial Microgrids under Uncertainty of Renewable Energy. Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA.10.1109/IAS.2019.8912399 ↗
37. Cycle-Life-Aware Optimal Sizing of Grid-Side Battery Energy Storage10.1109/ACCESS.2021.3054860 ↗
38. Optimal sizing of battery energy storage in a microgrid considering capacity degradation and replacement year10.1016/j.epsr.2021.107170 ↗
39. Sizing battery energy storage and PV system in an extreme fast charging station considering uncertainties and battery degradation10.1016/j.apenergy.2022.118745 ↗
40. A comprehensive state-of-the-art survey on power generation expansion planning with intermittent renewable energy source and energy storage10.1002/er.4388 ↗
41. State-of-the-Art Generation Expansion Planning: A Review10.1016/j.apenergy.2018.08.087 ↗
42. Review of Models for Integrating Renewable Energy in the Generation Expansion Planning10.1016/j.apenergy.2019.03.194 ↗
43. A Comprehensive Review of the Integration of Battery Energy Storage Systems into Distribution Networks
44. Review of Stationary Energy Storage Systems Applications, Their Placement, and Techno-Economic Potential
45. Sandelic, M., Stroe, D.-I., and Iov, F. (2018). Battery Storage-Based Frequency Containment Reserves in Large Wind Penetrated Scenarios: A Practical Approach to Sizing. Energies, 11.10.3390/en11113065 ↗
46. Framework for Sizing of Energy Storage System Supplementing Photovoltaic Generation in Consideration of Battery Degradation10.1109/ACCESS.2020.2977985 ↗
47. Virtual-battery based droop control and energy storage system size optimization of a DC microgrid for electric vehicle fast charging station10.1016/j.apenergy.2019.114146 ↗
48. Optimal placement, sizing, and dispatch of multiple BES systems on UK low voltage residential networks10.1016/j.est.2018.03.005 ↗
49. Martins, R., Hesse, H.C., Jungbauer, J., Vorbuchner, T., and Musilek, P. (2018). Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications. Energies, 11.10.3390/en11082048 ↗
50. Optimal Sizing and Control of a PV-EV-BES Charging System Including Primary Frequency Control and Component Degradation10.1109/OJIES.2022.3161091 ↗
51. Techno-economic analysis and optimal control of battery storage for frequency control services, applied to the German market10.1016/j.apenergy.2019.03.128 ↗
52. Overview of current development in electrical energy storage technologies and the application potential in power system operation10.1016/j.apenergy.2014.09.081 ↗
53. Progress in electrical energy storage system: A critical review10.1016/j.pnsc.2008.07.014 ↗
54. IRENA (2022, September 05). Electricity Storage and Renewables: Costs and Markets to 2030, no. October. Available online: http://irena.org/publications/2017/Oct/Electricity-storage-and-renewables-costs-and-markets%0Ahttps://www.irena.org/-/media/Files/IRENA/Agency/Publication/2017/Oct/IRENA_Electricity_Storage_Costs_2017.pdf.
55. Energy storage systems—Characteristics and comparisons10.1016/j.rser.2007.01.023 ↗
56. Potential of lithium-ion batteries in renewable energy10.1016/j.renene.2014.11.058 ↗
57. Stan, A.-I., Swierczynski, M., Stroe, D.-I., Teodorescu, R., and Andreasen, S.J. (2014, January 22–24). Lithium ion battery chemistries from renewable energy storage to automotive and back-up power applications—An overview. Proceedings of the 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Bran, Romania.10.1109/OPTIM.2014.6850936 ↗
58. Kawakami, N., Iijima, Y., Fukuhara, M., Bando, M., Sakanaka, Y., Ogawa, K., and Matsuda, T. (2010, January 4–7). Development and field experiences of stabilization system using 34 MW NAS batteries for a 51 MW wind farm. Proceedings of the 2010 IEEE International Symposium on Industrial Electronics, Bari, Italy.10.1109/ISIE.2010.5637487 ↗
59. A techno-economic analysis on NaS battery energy storage system supporting peak shaving10.1002/er.3460 ↗
60. Value of NAS Energy Storage Toward Integrating Wind: Results From the Wind to Battery Project10.1109/TPWRS.2012.2205278 ↗
61. Recent developments in organic redox flow batteries: A critical review10.1016/j.jpowsour.2017.05.057 ↗
62. Redox flow cells for energy conversion10.1016/j.jpowsour.2006.02.095 ↗
63. Progress in redox flow batteries, remaining challenges and their applications in energy storage10.1039/c2ra21342g ↗
64. Electrical Energy Storage for the Grid: A Battery of Choices10.1126/science.1212741 ↗
65. Lead batteries for utility energy storage: A review10.1016/j.est.2017.11.008 ↗
66. Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality10.1016/j.rser.2018.03.068 ↗
67. A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications10.1016/j.rser.2019.02.016 ↗
68. A review of technologies and applications on versatile energy storage systems10.1016/j.rser.2021.111263 ↗
69. Georgious, R., Refaat, R., Garcia, J., and Daoud, A.A. (2021). Review on Energy Storage Systems in Microgrids. Electronics, 10.10.3390/electronics10172134 ↗
70. Miao, Y., Hynan, P., von Jouanne, A., and Yokochi, A. (2019). Current Li-Ion Battery Technologies in Electric Vehicles and Opportunities for Advancements. Energies, 12.10.3390/en12061074 ↗
71. Energy Density Comparison of Li-ion Cathode Materials Using Dimensional Analysis10.1149/2.069308jes ↗
72. Stochastic coordinated operation of wind and battery energy storage system considering battery degradation10.1007/s40565-016-0238-z ↗
73. Koller, M., Borsche, T., Ulbig, A., and Andersson, G. (2013, January 16–20). Defining a degradation cost function for optimal control of a battery energy storage system. Proceedings of the 2013 IEEE Grenoble Conference, Grenoble, France.10.1109/PTC.2013.6652329 ↗
74. Kintner-Meyer, M.C., Balducci, P.J., Jin, C., Nguyen, T.B., Elizondo, M.A., Viswanathan, V.V., Guo, X., and Tuffner, F.K. (2010). Energy Storage for Power Systems Applications: A Regional Assessment for the Northwest Power Pool (NWPP), Pacific Northwest National Lab.(PNNL).10.2172/991590 ↗
75. Factors Which Limit the Cycle Life of Rechargeable Lithium (Metal) Batteries10.1149/1.1393349 ↗
76. Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling10.1016/j.rser.2021.111903 ↗
77. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression10.1016/j.microrel.2013.03.010 ↗
78. Meng, J., Boukhnifer, M., and Diallo, D. (2020, January 15–18). Lithium-Ion Battery Monitoring and Observability Analysis with Extended Equivalent Circuit Model. Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED), Saint-Raphaël, France.10.1109/MED48518.2020.9183112 ↗
79. State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network10.1109/ACCESS.2020.2981261 ↗
80. A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries10.1016/j.measurement.2021.109057 ↗
81. Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression10.1109/TIE.2017.2782224 ↗
82. A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations10.1016/j.jclepro.2018.09.065 ↗
83. Wu, L., Fu, X., and Guan, Y. (2016). Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies. Appl. Sci., 6.10.3390/app6060166 ↗
84. A review on prognostics and health monitoring of Li-ion battery10.1016/j.jpowsour.2011.03.101 ↗
85. A Demand Side Management Approach For Optimal Sizing of Standalone Renewable-Battery Systems10.1109/TSTE.2021.3084245 ↗
86. Alternating direction method of multipliers for the optimal siting, sizing, and technology selection of Li-ion battery storage10.1016/j.epsr.2020.106388 ↗
87. Design criteria for the optimal sizing of a hybrid energy storage system in PV household-prosumers to maximize self-consumption and self-sufficiency10.1016/j.energy.2019.07.157 ↗
88. Electricity and reserve market bidding strategy including sizing evaluation and a novel renewable complementarity-based centralized control for storage lifetime enhancement10.1016/j.apenergy.2020.114591 ↗
89. Multi-Objective Sizing of Battery Energy Storage Systems for Stackable Grid Applications10.1109/TSG.2020.3042186 ↗
90. Optimally sizing of battery energy storage capacity by operational optimization of residential PV-Battery systems: An Australian household case study10.1016/j.renene.2020.07.022 ↗
91. Optimal battery capacity of grid-connected PV-battery systems considering battery degradation10.1016/j.renene.2021.09.036 ↗
92. Optimal Energy Storage Sizing With Battery Augmentation for Renewable-Plus-Storage Power Plants10.1109/ACCESS.2020.3031197 ↗
93. Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life10.1109/TSG.2015.2424314 ↗
94. Recent progress in lithium-ion battery thermal management for a wide range of temperature and abuse conditions10.1016/j.ijhydene.2022.01.008 ↗
95. Theory of SEI Formation in Rechargeable Batteries: Capacity Fade, Accelerated Aging and Lifetime Prediction10.1149/2.044302jes ↗
96. Testing of lithium-ion 18650 cells and characterizing/predicting cell performance10.1016/S0378-7753(98)00238-9 ↗
97. Qian, K., Zhou, C., Yuan, Y., and Allan, M. (2010, January 13–16). Temperature effect on electric vehicle battery cycle life in vehicle-to-grid applications. Proceedings of the CICED 2010 Proceedings, Nanjing, China. Available online: https://ieeexplore.ieee.org/abstract/document/5736181/.
98. Calendar life performance of pouch lithium-ion cells10.1016/j.jpowsour.2004.09.024 ↗
99. Performance of Bellcore’s plastic rechargeable Li-ion batteries10.1016/0167-2738(96)00330-X ↗
100. Changes of Degradation Mechanisms of LiFePO4/Graphite Batteries Cycled at Different Ambient Temperatures10.1016/j.electacta.2017.03.158 ↗