Charge Management of Energy Storage Devices Considering Battery Wear in IoT-based Distribution Networks

Document Type : Original Research Article

Author

Khuzestan regional electric company, Ahvaz, Iran

Abstract

This research paper comprehensively analyzes the advantages of integrating energy storage resources into an energy management system, highlighting how it can significantly improve profitability and overall energy quality. One of the key benefits is the ability to regulate charging and discharging cycles, which helps prolong the service life of storage devices. In addition, the study delves into the influence of consumer behavior and the Internet of Things (IoT) on energy storage charge management, identifying important insights for enhancing efficiency. The optimization process for this investigation utilizes the YALMIP and MOSEK toolboxes, ensuring rigorous and accurate results. The experimentation is conducted on an IEEE standard 33-bus network, offering a robust foundation for real-world applications. The research outcomes demonstrate remarkable enhancements in both technical and economic parameters, including energy storage resources. By harnessing the potential of energy storage, businesses and industries can achieve greater cost savings and operational efficiencies. Furthermore, the paper considers the longevity of storage resources, comprehensively comparing results. This factor is crucial in determining such systems' long-term benefits and sustainability. In conclusion, the study underscores the immense advantages that IoT technology brings to energy management and its positive impact on consumers. By leveraging IoT capabilities and integrating energy storage resources intelligently, optimal consumption management can be achieved, leading to a more sustainable and efficient energy ecosystem.

Keywords


  1. M. Haque and P. Wolfs, "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, vol. 62, pp. 1195-1208, 2016/09/01/ 2016, doi: https://doi.org/10.1016/j.rser.2016.04.025.
  2. D. Laws, B. P. Epps, S. O. Peterson, M. S. Laser, and G. K. Wanjiru, "On the utility death spiral and the impact of utility rate structures on the adoption of residential solar photovoltaics and energy storage," Applied Energy, vol. 185, pp. 627-641, 2017/01/01/ 2017, doi: https://doi.org/10.1016/j.apenergy.2016.10.123.
  3. Li, M. Rentemeister, J. Badeda, D. Jöst, D. Schulte, and D. U. Sauer, "Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation," Journal of Energy Storage, vol. 30, p. 101557, 2020/08/01/ 2020, doi: https://doi.org/10.1016/j.est.2020.101557.
  4. W. Kow, Y. W. Wong, Rajparthiban K. Rajkumar, and R. K. Rajkumar, "A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events," Renewable and Sustainable Energy Reviews, vol. 56, pp. 334-346, 2016/04/01/ 2016, doi: https://doi.org/10.1016/j.rser.2015.11.064.
  5. Karimi, H. Mokhlis, K. Naidu, S. Uddin, and A. H. A. Bakar, "Photovoltaic penetration issues and impacts in distribution network – A review," Renewable and Sustainable Energy Reviews, vol. 53, pp. 594-605, 2016/01/01/ 2016, doi: https://doi.org/10.1016/j.rser.2015.08.042.
  6. A. Shalwala, "PV integration into distribution networks in Saudi Arabia," University of Leicester, 2012.
  7. Zhang, W. Li, S. Li, Y. Wang, and W. Xiao, "Reliability assessment of photovoltaic power systems: Review of current status and future perspectives," Applied Energy, vol. 104, pp. 822-833, 2013/04/01/ 2013, doi: https://doi.org/10.1016/j.apenergy.2012.12.010.
  8. N. Kabir, Y. Mishra, G. Ledwich, Z. Xu, and R. C. Bansal, "Improving voltage profile of residential distribution systems using rooftop PVs and Battery Energy Storage systems," Applied Energy, vol. 134, pp. 290-300, 2014/12/01/ 2014, doi: https://doi.org/10.1016/j.apenergy.2014.08.042.
  9. H. M. Rafi, M. J. Hossain, and J. Lu, "Hierarchical controls selection based on PV penetrations for voltage rise mitigation in a LV distribution network," International Journal of Electrical Power & Energy Systems, vol. 81, pp. 123-139, 2016/10/01/ 2016, doi: https://doi.org/10.1016/j.ijepes.2016.02.013.
  10. Koohi-Fayegh and M. A. Rosen, "A review of energy storage types, applications and recent developments," Journal of Energy Storage, vol. 27, p. 101047, 2020/02/01/ 2020, doi: https://doi.org/10.1016/j.est.2019.101047.
  11. Sardi, N. Mithulananthan, M. Gallagher, and D. Q. Hung, "Multiple community energy storage planning in distribution networks using a cost-benefit analysis," Applied Energy, vol. 190, pp. 453-463, 2017/03/15/ 2017, doi: https://doi.org/10.1016/j.apenergy.2016.12.144.
  12. Reihani and R. Ghorbani, "Load commitment of distribution grid with high penetration of photovoltaics (PV) using hybrid series-parallel prediction algorithm and storage," Electric Power Systems Research, vol. 131, pp. 224-230, 2016/02/01/ 2016, doi: https://doi.org/10.1016/j.epsr.2015.09.004.
  13. Sardi, N. Mithulananthan, and D. Q. Hung, "Strategic allocation of community energy storage in a residential system with rooftop PV units," Applied Energy, vol. 206, pp. 159-171, 2017/11/15/ 2017, doi: https://doi.org/10.1016/j.apenergy.2017.08.186.
  14. Liu, A. Aichhorn, L. Liu, and H. Li, "Coordinated Control of Distributed Energy Storage System With Tap Changer Transformers for Voltage Rise Mitigation Under High Photovoltaic Penetration," IEEE Transactions on Smart Grid, vol. 3, no. 2, pp. 897-906, 2012, doi: https://doi.org/10.1109/TSG.2011.2177501
  15. F. Lyons et al., "Design and analysis of electrical energy storage demonstration projects on UK distribution networks," Applied Energy, vol. 137, pp. 677-691, 2015/01/01/ 2015, doi: https://doi.org/10.1016/j.apenergy.2014.09.027.
  16. Mahani, F. Farzan, and M. A. Jafari, "Network-aware approach for energy storage planning and control in the network with high penetration of renewables," Applied Energy, vol. 195, pp. 974-990, 2017/06/01/ 2017, doi: https://doi.org/10.1016/j.apenergy.2017.03.118.
  17. Babacan, W. Torre, and J. Kleissl, "Siting and sizing of distributed energy storage to mitigate voltage impact by solar PV in distribution systems," Solar Energy, vol. 146, pp. 199-208, 2017/04/01/ 2017, doi: https://doi.org/10.1016/j.solener.2017.02.047.
  18. Bai, T. Jiang, F. Li, H. Chen, and X. Li, "Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability," Applied Energy, vol. 210, pp. 1082-1091, 2018/01/15/ 2018, doi: https://doi.org/10.1016/j.apenergy.2017.07.004.
  19. Xiao, Z. Zhang, L. Bai, and H. Liang, "Determination of the optimal installation site and capacity of battery energy storage system in distribution network integrated with distributed generation," IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 601-607, 2016, doi: https://doi.org/10.1049/iet-gtd.2015.0130.
  20. Dubarry, G. Baure, C. Pastor-Fernández, T. F. Yu, W. D. Widanage, and J. Marco, "Battery energy storage system modeling: A combined comprehensive approach," Journal of Energy Storage, vol. 21, pp. 172-185, 2019/02/01/ 2019, doi: https://doi.org/10.1016/j.est.2018.11.012.
  21. Bedi, G. K. Venayagamoorthy, R. Singh, R. R. Brooks, and K. C. Wang, "Review of Internet of Things (IoT) in Electric Power and Energy Systems," IEEE Internet of Things Journal, vol. 5, no. 2, pp. 847-870, 2018, doi: https://doi.org/10.1109/JIOT.2018.2802704
  22. N. Silva, M. Khan, and K. Han, "Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges," IETE Technical Review, vol. 35, no. 2, pp. 205-220, 2018/03/04 2018, doi: https://doi.org/10.1080/02564602.2016.1276416
  23. Aazam, S. Zeadally, and K. A. Harras, "Deploying Fog Computing in Industrial Internet of Things and Industry 4.0," IEEE Transactions on Industrial Informatics, vol. 14, no. 10, pp. 4674-4682, 2018, doi: https://doi.org/10.1109/TII.2018.2855198
  24. S. Reka and T. Dragicevic, "Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid," Renewable and Sustainable Energy Reviews, vol. 91, pp. 90-108, 2018/08/01/ 2018, doi: https://doi.org/10.1016/j.rser.2018.03.089.
  25. L. Risteska Stojkoska and K. V. Trivodaliev, "A review of Internet of Things for smart home: Challenges and solutions," Journal of Cleaner Production, vol. 140, pp. 1454-1464, 2017/01/01/ 2017, doi: https://doi.org/10.1016/j.jclepro.2016.10.006.
  26. E. Collier, "The Emerging Enernet: Convergence of the Smart Grid with the Internet of Things," IEEE Industry Applications Magazine, vol. 23, no. 2, pp. 12-16, 2017, doi: https://doi.org/10.1109/MIAS.2016.2600737
  27. Talari, M. Shafie-khah, P. Siano, V. Loia, A. Tommasetti, and J. P. S. Catalão, "A Review of Smart Cities Based on the Internet of Things Concept," Energies, vol. 10, no. 4, p. 421, 2017. [Online]. Available: https://www.mdpi.com/1996-1073/10/4/421.
  28. Yang, "13 - Internet of things application in smart grid: A brief overview of challenges, opportunities, and future trends," in Smart Power Distribution Systems, Q. Yang, T. Yang, and W. Li Eds.: Academic Press, 2019, pp. 267-283. Doi: https://doi.org/10.1016/B978-0-12-812154-2.00013-4
  29. Xu, W. Yu, D. Griffith, N. Golmie, and P. Moulema, "Toward Integrating Distributed Energy Resources and Storage Devices in Smart Grid," IEEE Internet of Things Journal, vol. 4, no. 1, pp. 192-204, 2017, doi: https://doi.org/10.1109/jiot.2016.2640563
  30. Atzori, A. Iera, and G. Morabito, "Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm," Ad Hoc Networks, vol. 56, pp. 122-140, 2017/03/01/ 2017, doi: https://doi.org/10.1016/j.adhoc.2016.12.004.
  31. Sakhnini, H. Karimipour, A. Dehghantanha, R. M. Parizi, and G. Srivastava, "Security aspects of Internet of Things aided smart grids: A bibliometric survey," Internet of Things, vol. 14, p. 100111, 2021/06/01/ 2021, doi: https://doi.org/10.1016/j.iot.2019.100111.
  32. Morello, C. De Capua, G. Fulco, and S. C. Mukhopadhyay, "A smart power meter to monitor energy flow in smart grids: The role of advanced sensing and IoT in the electric grid of the future," IEEE Sensors Journal, vol. 17, no. 23, pp. 7828-7837, 2017, doi: https://doi.org/10.1109/JSEN.2017.2760014
  33. Morello, S. C. Mukhopadhyay, Z. Liu, D. Slomovitz, and S. R. Samantaray, "Advances on Sensing Technologies for Smart Cities and Power Grids: A Review," IEEE Sensors Journal, vol. 17, no. 23, pp. 7596-7610, 2017, doi: https://doi.org/10.1109/JSEN.2017.2735539
  34. Minoli, K. Sohraby, and B. Occhiogrosso, "IoT Considerations, Requirements, and Architectures for Smart Buildings—Energy Optimization and Next-Generation Building Management Systems," IEEE Internet of Things Journal, vol. 4, no. 1, pp. 269-283, 2017, doi: https://doi.org/10.1109/JIOT.2017.2647881.
  35. Rohani, M. Abasi, A. Beigzadeh, M. Joorabian, and G. B. Gharehpetian, "Bi-level power management strategy in harmonic-polluted active distribution network including virtual power plants," IET Renewable Power Generation, vol. 15, no. 2, pp. 462-476, 2021, doi: https://doi.org/10.1049/rpg2.12044.
  36. S. Lei, Y. Hou, F. Qiu, and J. Yan, "Identification of Critical Switches for Integrating Renewable Distributed Generation by Dynamic Network Reconfiguration," IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 420-432, 2018, doi: https://doi.org/10.1109/TSTE.2017.2738014