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Management and Performance Control Analysis of Hybrid Photovoltaic Energy Storage System under Variable Solar Irradiation

Author

Listed:
  • Mohamed Louzazni

    (National School of Applied Science, Abdelmalek Essaâdi University, Tetouan B.P. 2117, Morocco)

  • Daniel Tudor Cotfas

    (Department of Electronics and Computers, Transilvania University of Brasov, Eroilor 29, 500036 Brasov, Romania)

  • Petru Adrian Cotfas

    (Department of Electronics and Computers, Transilvania University of Brasov, Eroilor 29, 500036 Brasov, Romania)

Abstract

This paper introduces the management control of a microgrid comprising of photovoltaic panels, battery, supercapacitor, and DC load under variable solar irradiation. The battery is used to store the energy from the photovoltaic panels or to supply the load. The supercapacitor is used to reduce stress on batteries, improve their life cycle, and absorb the fluctuations in the energy produced. The generated photovoltaic power is optimized using Perturb and Observe and Incremental Conductance algorithms to extract the maximum power point tracking. The two algorithms are modified by adding an instantaneous step size to change the direction of the power, so as to reach the maximum power point tracking. The currents of the battery and supercapacitor are managed and controlled using the multi-loop proportional integral controllers. The obtained results show that the multi-loop proportionally integral controllers Perturb and Observe are better than the multi-loop proportional integral controllers Incremental Conductance in terms of stability of injected power. The storage system works perfectly for energy supply, system protection, and fluctuation absorption during the transitions in the solar irradiation. The proposed hybrid storage system can be installed in rural areas as an off-grid system for several uses.

Suggested Citation

  • Mohamed Louzazni & Daniel Tudor Cotfas & Petru Adrian Cotfas, 2020. "Management and Performance Control Analysis of Hybrid Photovoltaic Energy Storage System under Variable Solar Irradiation," Energies, MDPI, vol. 13(12), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3043-:d:370756
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    References listed on IDEAS

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    1. Tofighi, A. & Kalantar, M., 2011. "Power management of PV/battery hybrid power source via passivity-based control," Renewable Energy, Elsevier, vol. 36(9), pages 2440-2450.
    2. Chendi Li & Yuanrui Chen & Dongbao Zhou & Junfeng Liu & Jun Zeng, 2016. "A High-Performance Adaptive Incremental Conductance MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 9(4), pages 1-17, April.
    3. Zhongbao Wei & Feng Leng & Zhongjie He & Wenyu Zhang & Kaiyuan Li, 2018. "Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data–Model Fusion Method," Energies, MDPI, vol. 11(7), pages 1-16, July.
    4. Marco Balato & Carlo Petrarca, 2020. "The Impact of Reconfiguration on the Energy Performance of the Distributed Maximum Power Point Tracking Approach in PV Plants," Energies, MDPI, vol. 13(6), pages 1-19, March.
    5. Kumar, Gaurav & Trivedi, Milind B. & Panchal, Ashish K., 2015. "Innovative and precise MPP estimation using P–V curve geometry for photovoltaics," Applied Energy, Elsevier, vol. 138(C), pages 640-647.
    6. Gopinath Subramani & Vigna K. Ramachandaramurthy & P. Sanjeevikumar & Jens Bo Holm-Nielsen & Frede Blaabjerg & Leonowicz Zbigniew & Pawel Kostyla, 2019. "Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia," Energies, MDPI, vol. 12(18), pages 1-21, September.
    7. Ahmed M. Nassef & Ahmed Fathy & Hegazy Rezk, 2019. "An Effective Energy Management Strategy Based on Mine-Blast Optimization Technique Applied to Hybrid PEMFC/Supercapacitor/Batteries System," Energies, MDPI, vol. 12(19), pages 1-16, October.
    8. Luta, Doudou N. & Raji, Atanda K., 2019. "Optimal sizing of hybrid fuel cell-supercapacitor storage system for off-grid renewable applications," Energy, Elsevier, vol. 166(C), pages 530-540.
    9. Chao, Kuei-Hsiang & Lin, Yu-Sheng & Lai, Uei-Dar, 2015. "Improved particle swarm optimization for maximum power point tracking in photovoltaic module arrays," Applied Energy, Elsevier, vol. 158(C), pages 609-618.
    10. Muhammad Umair Mutarraf & Yacine Terriche & Kamran Ali Khan Niazi & Fawad Khan & Juan C. Vasquez & Josep M. Guerrero, 2019. "Control of Hybrid Diesel/PV/Battery/Ultra-Capacitor Systems for Future Shipboard Microgrids," Energies, MDPI, vol. 12(18), pages 1-23, September.
    11. Mukerjee, A.K. & Dasgupta, Nivedita, 2007. "DC power supply used as photovoltaic simulator for testing MPPT algorithms," Renewable Energy, Elsevier, vol. 32(4), pages 587-592.
    12. Jing, Wenlong & Lai, Chean Hung & Wong, Wallace S.H. & Wong, M.L. Dennis, 2018. "A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification," Applied Energy, Elsevier, vol. 224(C), pages 340-356.
    13. Ahmed, Jubaer & Salam, Zainal, 2014. "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Applied Energy, Elsevier, vol. 119(C), pages 118-130.
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    1. Fathy, Ahmed & Yousri, Dalia & Alanazi, Turki & Rezk, Hegazy, 2021. "Minimum hydrogen consumption based control strategy of fuel cell/PV/battery/supercapacitor hybrid system using recent approach based parasitism-predation algorithm," Energy, Elsevier, vol. 225(C).
    2. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.

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