A framework to quantify battery degradation in residential microgrid operate with maximum self-consumption based energy management system

Authors

  • Abderrahman Bensalem
  • Belgacem Toual
  • Mohamed Elbar
  • Mohamed Khaleel
  • Zakaria Belboul

DOI:

https://doi.org/10.54021/seesv5n1-021

Keywords:

microgrids, battery, photovoltaic, energy management system, hybrid renewable energy systems, degradation, state of health

Abstract

Battery Energy Storage System (BESS) is a crucial component for improving the performance of Hybrid Renewable Energy System (HRES) based microgrid. This paper aims to quantify the battery capacity fade due to battery charging/discharging cycling in a DC microgrid operate with well-known rule-based energy management system, Hence, based on a reduced-order physical model for Lithium-ion battery degradation, a framework was established to assess the state of health (SOH) of the battery. The simulation results show that limiting charging/discharging cycling help in prevent high-capacity loss, however its effect on the self-consumption and self-sufficiency in residential remains debatable in the future.

References

HAGOS, D. A.; NOVAKOVIC, V. On the role of demand response and key CCHP technologies for increased integration of variable renewable energy into a microgrid. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). Anais... Novi Sad, Serbia: IEEE, 10 out. 2022. Disponível em: https://ieeexplore.ieee.org/document/9960472/. Acesso em: 22 fev. 2024.

MUHTADI, A. et al. Renewable Energy based Microgrid: Role of the Architecture in Grid Enhancement towards Sustainable Energy. 2020 IEEE Industry Applications Society Annual Meeting. Anais... Detroit, MI, USA: IEEE, 10 out. 2020. Disponível em: https://ieeexplore.ieee.org/document/9334887/. Acesso em: 22 fev. 2024.

TRAN, Q. T.; DAVIES, K.; SEPASI, S. Isolation Microgrid Design for Remote Areas with the Integration of Renewable Energy: A Case Study of Con Dao Island in Vietnam. Clean Technologies, v. 3, n. 4, p. 804–820, 3 nov. 2021.

ELBAR, M.; AISSA, S.; ABDELKADER, B.; ALI, B.; BENHAIMOURA, A. Impact study of flexible alternating current transmission system on power flow and power loss in power systems using MATLAB and PSAT. Studies in Engineering and Exact Sciences, v. 4, n. 1, p. 348–369, 2023. https://doi.org/10.54021/

seesv4n1-021.

BOYA-LARA, C.; RIVERA-CABALLERO, O. A Perspective of the Energy Transition in Panama focused on Distributed Generation and Electric Vehicles on the Demand-Side. 2022 IEEE 40th Central America and Panama Convention (CONCAPAN). Anais... Panama: IEEE, 9 nov. 2022. Disponível em: <https://ieeexplore.ieee.org/document/9997673/>. Acesso em: 22 fev. 2024.

GSTÖHL, U.; PFENNINGER, S. Energy self-sufficient households with photovoltaics and electric vehicles are feasible in temperate climate. PLOS ONE, v. 15, n. 3, p. e0227368, 4 mar. 2020.

WENTLAND, A. Imagining and enacting the future of the German energy transition: electric vehicles as grid infrastructure. Innovation: The European Journal of Social Science Research, v. 29, n. 3, p. 285–302, 2 jul. 2016.

BOURENNANE, M.; NAIMI, H.; ELBAR, M. Deep Feature Extraction with Cubic-SVM for Classification of Brain Tumor. Studies in Engineering and Exact Sciences, v. 5, n. 1, p. 19–35, 2024. https://doi.org/10.54021/seesv5n1-002.

TRAN, H. G.; TON-THAT, L.; THAO, N. G. M. Lagrange Multiplier-Based Optimization for Hybrid Energy Management System with Renewable Energy Sources and Electric Vehicles. Electronics, v. 12, n. 21, p. 4513, 2 nov. 2023.

MOHAMED, Elbar; AHMED ZOHAIR, Djeddi; HAFAIFA, Ahmed; NAAS, Charrak; IRATNI, Abdelhamid; COLAK, Ilhami.Evaluation of Reliability Indices for Gas Turbines Based on the Johnson SB Distribution: Towards Practical Development. Emirates Journal for Engineering Research, v. 28, n. 2, Article 5, 2023. Available at: https://scholarworks.uaeu.ac.ae/ejer/vol28/iss2/5.

KECHIDA, A.; GOZIM, D.; TOUAL, B.; MOHAMMEDI, R. D.; ELBAR, M. Management stand-alone hybrid renewable energy system based on wind and solar with battery storage. Studies in Engineering and Exact Sciences, v. 5, n. 1, p. 97–113, 2024. https://doi.org/10.54021/seesv5n1-006.

MOHAMMEDI, R. D.; GOZIM, D.; LAOUID, A. A.; ELBAR, M. Optimal placement of phasor measurement units using topology transformation method based on Grey Wolf optimization approach. Studies in Engineering and Exact Sciences, v. 5, n. 1, p. 131–150, 2024. https://doi.org/10.54021/seesv5n1-008.

HASSAN, Q. et al. Optimization of Large-Scale Battery Storage Capacity in Conjunction with Photovoltaic Systems for Maximum Self-Sustainability. Energies, v. 15, n. 10, p. 3845, 23 maio 2022.

PÖTZINGER, C.; PREISSINGER, M.; BRÜGGEMANN, D. Influence of Hydrogen-Based Storage Systems on Self-Consumption and Self-Sufficiency of Residential Photovoltaic Systems. Energies, v. 8, n. 8, p. 8887–8907, 21 ago. 2015.

HASSAN, Q. et al. A review of hybrid renewable energy systems: Solar and wind-powered solutions: Challenges, opportunities, and policy implications. Results in Engineering, v. 20, p. 101621, dez. 2023.

SHABANI, M. et al. The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application. Energy, v. 270, p. 126829, maio 2023.

KALDELLIS, A. et al. Investigating the Impact of Cycling Aging on the Long-Term Performance of RES-Driven, Second-Life EV Battery Storage Configurations in Residential-Scale Applications. 16th International Conference on Meteorology, Climatology and Atmospheric Physics & mdash; COMECAP, 2023. Anais... MDPI, 7 set. 2023. Disponível em: https://www.mdpi.com/2673-4931/26/1/179. Acesso em: 22 fev. 2024.

ZOU, B. et al. Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings. Applied Energy, v. 305, p. 117875, jan. 2022.

PAVANI, P.; BAK-JENSEN, B.; PILLAI, J. R. Maximizing the self-consumption of Solar-PV using Battery Energy Storage System in Samsø-Marina. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). Anais... Bucharest, Romania: IEEE, set. 2019. Disponível em: https://ieeexplore.ieee.org/document/8905498/. Acesso em: 22 fev. 2024.

UNNIKRISHNAN RAVEENDRAN, N. Control and management of energy storage systems in microgrids.

LA TONA, G.; LUNA, M.; DI PIAZZA, M. C. A Multi-Objective Optimization-based EMS for Residential Microgrids Considering Battery SoH. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. Anais... Brussels, Belgium: IEEE, 17 out. 2022. Disponível em: https://ieeexplore.ieee.

org/document/9968553/. Acesso em: 22 fev. 2024.

HERMANN, D. T. et al. Consideration of some optimization techniques to design a hybrid energy system for a building in Cameroon. Energy and Built Environment, v. 3, n. 2, p. 233–249, abr. 2022.

EBBESEN, S.; ELBERT, P.; GUZZELLA, L. Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles. IEEE Transactions on Vehicular Technology, v. 61, n. 7, p. 2893–2900, set. 2012.

JIN, X. et al. Physically-based reduced-order capacity loss model for graphite anodes in Li-ion battery cells. Journal of Power Sources, v. 342, p. 750–761, fev. 2017.

ZOU, B. et al. Energy management of the grid-connected residential photovoltaic-battery system using model predictive control coupled with dynamic programming. Energy and Buildings, v. 279, p. 112712, jan. 2023.

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Published

2024-02-28

How to Cite

Bensalem, A., Toual, B., Elbar, M., Khaleel, M., & Belboul, Z. (2024). A framework to quantify battery degradation in residential microgrid operate with maximum self-consumption based energy management system . STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(1), 354–370. https://doi.org/10.54021/seesv5n1-021

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