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Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods

Author

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  • Alfredo Nespoli

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milan, Italy)

  • Andrea Matteri

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milan, Italy)

  • Silvia Pretto

    (Equienergia S.r.l., c.so Sempione 62, 20153 Milan, Italy)

  • Luca De Ciechi

    (Helexia Energy Services S.r.l., Strada 8, Palazzo N, Rozzano, 20089 Milan, Italy)

  • Emanuele Ogliari

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milan, Italy)

Abstract

The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute a very promising option, but their production is not programmable due to the intermittent nature of solar energy. The coupling between a PV facility and a Battery Energy Storage System (BESS) allows to achieve a greater flexibility in power generation. However, the design phase of a PV+BESS hybrid plant is challenging due to the large number of possible configurations. The present paper proposes a preliminary procedure aimed at predicting a family of batteries which is suitable to be coupled with a given PV plant configuration. The proposed procedure is applied to new hypothetical plants built to fulfill the energy requirements of a commercial and an industrial load. The energy produced by the PV system is estimated on the basis of a performance analysis carried out on similar real plants. The battery operations are established through two decision-tree-like structures regulating charge and discharge respectively. Finally, an unsupervised clustering is applied to all the possible PV+BESS configurations in order to identify the family of feasible solutions.

Suggested Citation

  • Alfredo Nespoli & Andrea Matteri & Silvia Pretto & Luca De Ciechi & Emanuele Ogliari, 2021. "Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods," Forecasting, MDPI, vol. 3(4), pages 1-19, September.
    • Handle: RePEc:gam:jforec:v:3:y:2021:i:4:p:41-681:d:642674
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    References listed on IDEAS

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    1. Fauzan Hanif Jufri & Dwi Riana Aryani & Iwa Garniwa & Budi Sudiarto, 2021. "Optimal Battery Energy Storage Dispatch Strategy for Small-Scale Isolated Hybrid Renewable Energy System with Different Load Profile Patterns," Energies, MDPI, vol. 14(11), pages 1-19, May.
    2. Jinkui He & Yongheng Yang & Dmitri Vinnikov, 2020. "Energy Storage for 1500 V Photovoltaic Systems: A Comparative Reliability Analysis of DC- and AC-Coupling," Energies, MDPI, vol. 13(13), pages 1-16, July.
    3. Iflah Javeed & Rahmat Khezri & Amin Mahmoudi & Amirmehdi Yazdani & G. M. Shafiullah, 2021. "Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates," Energies, MDPI, vol. 14(12), pages 1-19, June.
    4. Rashid, Khalid & Safdarnejad, Seyed Mostafa & Ellingwood, Kevin & Powell, Kody M., 2019. "Techno-economic evaluation of different hybridization schemes for a solar thermal/gas power plant," Energy, Elsevier, vol. 181(C), pages 91-106.
    5. Ayman B. Attya & Adam Vickers, 2021. "Operation and Control of a Hybrid Power Plant with the Capability of Grid Services Provision," Energies, MDPI, vol. 14(13), pages 1-15, June.
    6. Reza Fachrizal & Joakim Munkhammar, 2020. "Improved Photovoltaic Self-Consumption in Residential Buildings with Distributed and Centralized Smart Charging of Electric Vehicles," Energies, MDPI, vol. 13(5), pages 1-19, March.
    7. Fadhil Y. Al-Aboosi & Abdullah F. Al-Aboosi, 2021. "Preliminary Evaluation of a Rooftop Grid-Connected Photovoltaic System Installation under the Climatic Conditions of Texas (USA)," Energies, MDPI, vol. 14(3), pages 1-30, January.
    8. Dengchang Ma & Guobing Pan & Fang Xu & Hongfei Sun, 2021. "Quantitative Analysis of the Impact of Meteorological Environment on Photovoltaic System Feasibility," Energies, MDPI, vol. 14(10), pages 1-16, May.
    9. Alejandro Pena-Bello & Edward Barbour & Marta C. Gonzalez & Selin Yilmaz & Martin K. Patel & David Parra, 2020. "How Does the Electricity Demand Profile Impact the Attractiveness of PV-Coupled Battery Systems Combining Applications?," Energies, MDPI, vol. 13(15), pages 1-19, August.
    10. Khalid, Ahmad Mohd & Mitra, Indradip & Warmuth, Werner & Schacht, Volker, 2016. "Performance ratio – Crucial parameter for grid connected PV plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1139-1158.
    11. Chul-sung Lee & Hyo-mun Lee & Min-joo Choi & Jong-ho Yoon, 2019. "Performance Evaluation and Prediction of BIPV Systems under Partial Shading Conditions Using Normalized Efficiency," Energies, MDPI, vol. 12(19), pages 1-16, October.
    12. Alejandra Tabares & Norberto Martinez & Lucas Ginez & José F. Resende & Nierbeth Brito & John Fredy Franco, 2020. "Optimal Capacity Sizing for the Integration of a Battery and Photovoltaic Microgrid to Supply Auxiliary Services in Substations under a Contingency," Energies, MDPI, vol. 13(22), pages 1-23, November.
    13. Ali S. Alghamdi, 2021. "Performance Enhancement of Roof-Mounted Photovoltaic System: Artificial Neural Network Optimization of Ground Coverage Ratio," Energies, MDPI, vol. 14(6), pages 1-18, March.
    14. Botelho, D.F. & Dias, B.H. & de Oliveira, L.W. & Soares, T.A. & Rezende, I. & Sousa, T., 2021. "Innovative business models as drivers for prosumers integration - Enablers and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
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