**Author details**

Filippo Spertino\*, Alessandro Ciocia, Paolo Di Leo, Gabriele Malgaroli and Angela Russo Energy Department "Galileo Ferraris", Politecnico di Torino, Italy

\*Address all correspondence to: filippo.spertino@polito.it

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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2015. pp. 1-6

*A Smart Battery Management System for Photovoltaic Plants in Households Based on Raw…*

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2219563

pp. 726-731

2017. pp. 2750-2754

Voltage control in low voltage grids: A comparison between the use of distributed photovoltaic converters or centralized devices. In: Proceedings of the IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe); Milan; 2017.

[8] Akarslan E, Hocaoglu FO. Electricity demand forecasting of a micro grid using ANN. In: Proceedings of the 9th International Renewable Energy Congress (IREC); Hammamet; 2018.

[9] Koller M, Borsche T, Ulbig A, Andersson G. Defining a degradation cost function for optimal control of a battery energy storage system. In: Proceedings of the 2013 IEEE Grenoble Conference; Grenoble; 2013.

[10] Bizzarri F, Bongiorno M, Brambilla A, Gruosso G, Gajani GS. Model of photovoltaic power plants for performance analysis and production forecast. IEEE Transactions on Sustainable Energy. 2012;**4**:278-285.

[11] Brenna M, Foiadelli F, Longo M, Zaninelli D. Mint: Solar radiation and load power consumption forecasting using neural network. In: Proceedings of the 2017 6th International Conference on Clean Electrical Power (ICCEP); Santa Margherita Ligure; 2017.

[12] Lin Q , Yin M, Shi D, Qu H, Huo J. Optimal control of battery energy storage system integrated in PV station considering peak shaving. In: Proceedings of the 2017 Chinese Automation Congress (CAC); Jinan;

DOI: 10.1109/TSTE.2012.

*DOI: http://dx.doi.org/10.5772/intechopen.80562*

management of cooperative microgrids with high-penetration renewables. IET Renewable Power Generation. 2018;**12**(6):680-690. DOI: 10.1049/

[1] Lahon R, Gupta CP. Energy

[2] Rubino S, Mazza A, Chicco G, Pastorelli M. Advanced control of inverter-interfaced generation behaving as a virtual synchronous generator. In: Proceedings of the 2015 IEEE Eindhoven PowerTech; Eindhoven; 2015. pp. 1-6

[3] Chicco G, Mazza A. An overview of the probability-based methods for optimal electrical distribution system reconfiguration. In: Proceedings of the 2013 4th International Symposium on Electrical and Electronics Engineering

(ISEEE); Galati; 2013. pp. 1-10

[4] Mazza A, Chicco G, Andrei H, Rubino M. Determination of the relevant periods for intraday distribution system minimum loss reconfiguration. International Transactions on Electrical Energy Systems. 2015;**25**:1992-2023. DOI:

[5] Narducci G, Mazza A, Chicco G, Bompard E. Battery storage application for covering the mismatch between scheduled and CHP plant production. In: Proceedings of the 2017 52nd International Universities Power Engineering Conference (UPEC);

[6] Spertino F, Ahmad J, Chicco G, Ciocia A, Di Leo P. Matching between electric generation and load: Hybrid PV-wind system and tertiary-sector users. In: Proceedings of the 50th International Universities Power

Engineering Conference (UPEC); Trent;

[7] Ciocia A, Chicco G, Di Leo P, Gai M, Mazza A, Spertino F, Hadj-Said N.

10.1002/etep.1941

Heraklion; 2017. pp. 1-6

**References**

iet-rpg.2017.0578

*A Smart Battery Management System for Photovoltaic Plants in Households Based on Raw… DOI: http://dx.doi.org/10.5772/intechopen.80562*
