Abstract
The optimal management of production and storing of photovoltaic energy increases the life duration of equipment and accordingly reduces the cost of installation and exploitation. In this chapter, we present the operation of a stand-alone PV installation equipped with solar lead batteries. Our first aim is to ensure a longer batteries life and to protect them against the causes of premature aging, also to optimize the installation operation. All of that in order to minimize the cost and, also, to reduce the negative effect of manufacturing and the impact of using toxic materials such as lead, this allows to contribute to the environmental protection. Therefore, the experiment shows that the system concerned: guarantees mainly the state of charge estimation by a reliable algorithm in real time. The estimation is performed by a dynamic method to reduce the estimation errors caused by classical and static systems. These errors can reach 6% in this study; they are required into consideration and compensated during the PV installation operation. The charge/discharge process control allows the protection of the batteries, and the regulation system realized optimizes the number of charge/discharge cycles and, consequently, optimizes the batteries lifetime.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lai, C. S., & McCulloch, M. D. (2017). Levelized cost of electricity for solar photovoltaic and electrical energy storage. Applied Energy, 190, 191–203.
Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596–609.
Aguado, J. A., Racero, A. J. S., & de la Torre, S. (2018). Optimal operation of electric railways with renewable energy and electric storage systems. IEEE Transactions on Smart Grid, 9(2), 993–1001.
Lu, X., Sun, K., Guerrero, J. M., Vasquez, J. C., & Huang, L. (2015). Double-quadrant state-of-charge-based droop control method for distributed energy storage systems in autonomous DC microgrids. IEEE Transactions on Smart Grid, 6(1), 147–157.
Armengaud, E., Kurtulus, C., & Macher, G. (2015). A smart computing platform for dependable battery management systems. In Advanced microsystems for automotive applications (pp. 239–250). Springer.
Eldahab, Y., Saad, N., & Zekry, A. (2016). Enhancing the design of battery charging controllers for photovoltaic systems. Renewable and Sustainable Energy Reviews, 58, 646–655.
Stetzel, K., Aldrich, L., & Trimbpli, M. (2015). Electrochemical state and internal variables estimation using a reduced-order physics-based model of a lithium-ion cell and an extended Kalman filter. Journal of Power Sources, 278, 490–505.
Sepasi, S., Ghorbani, R., & Liaw, B. (2014). A novel on-board state-of-charge estimation method for aged li-ion batteries based on model adaptive extended Kalman filter. Journal of Power Sources, 245, 337–344.
Manhor, A., Kim, K., & Plichta, E. (2016). A high efficiency iron-chloride redox flow battery for large-scale energy storage. Journal of the Electrochemical Society, 163(1), A5118–A5125.
Jeong, Y., Yong-Ki, A., & Jung, H. (2014). Enhanced Coulomb counting method with adaptive SOC reset time for estimating OCV. In Energy Conversion Congress and Exposition (ECCE), 2014 IEEE (pp. 1313–1318). IEEE.
Hirech, K., Melhaoui, M., Yaden, F., Baghaz, E., & Kassmi, K. (2013). Design and realization of an autonomous system equipped with a charge/discharge regulator and digital MPPT command. Energy Procedia, 42, 503–512.
Melhaoui, M., Baghaz, E., Hirech, K., & Kassmi, K. (2014). Contribution to the improvement of the MPPT control functioning of photovoltaic systems. International Review of Electrical Engineering (IREE), 9(2), 393–400.
Hirech, K., Melhaoui, M., Atmane, I., Kassmi, K., & Bachiri, N. (2017). Photovoltaic energy: Research, training and development of rural areas in eastern of Morocco. Journal of Communications Technology, Electronics and Computer Science, 14, 6–10.
Snihir, I., Rey, W., Verbitskiy, E., Belfadhel-Ayeb, A., & Notten, P. H. L. (2006). Battery open-circuit voltage estimation by a method of statistical analysis. Journal of Power Sources, 159, 1484–1487.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Hirech, K., Melhaoui, M., Kassmi, K. (2022). An Integrated Control to Enhance Dynamic Performance of the Off-Grid Electrical Installation With Renewable Power Sources: Photovoltaic Source Case. In: Elhoseny, M., Yuan, X., Krit, Sd. (eds) Distributed Sensing and Intelligent Systems. Studies in Distributed Intelligence . Springer, Cham. https://doi.org/10.1007/978-3-030-64258-7_68
Download citation
DOI: https://doi.org/10.1007/978-3-030-64258-7_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-64257-0
Online ISBN: 978-3-030-64258-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)