IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v257y2022ics0360544222017005.html
   My bibliography  Save this article

An experimental approach for improving stability in DC bus voltage of a stand-alone photovoltaic generator

Author

Listed:
  • Masmoudi, Abdelkarim
  • Abdelkafi, Achraf
  • Krichen, Lotfi
  • Saidi, Abdelaziz Salah

Abstract

Photovoltaic energy has become an increasingly competitive source delivering electricity with a steadily cost decline. Alongside the deployment of this sustainable energy system, the power supply stability should be thoroughly examined especially in off-grid systems when electricity storage becomes a constraint. The work presented in this paper proposes a practical solution for the DC bus voltage stabilization in a stand-alone photovoltaic generator devoid of an energy storage system. In order to achieve this objective, a new control strategy applied to the DC/DC converter installed on the PV terminals is investigated. Specifically, the proposed method consists of a modified control in the PWM signal driving the boost converter. Four different modes were considered according to the difference levels between the reference and the measured voltage. Furthermore, this simple and effective technique circumvents the absence of a storage system and ensures the DC bus voltage stability despite the unpredictable operating conditions. An experimental test bench was developed in order to prove the high performance of the proposed control method which is corroborated by the obtained results in particular the DC bus voltage stabilization to the reference value.

Suggested Citation

  • Masmoudi, Abdelkarim & Abdelkafi, Achraf & Krichen, Lotfi & Saidi, Abdelaziz Salah, 2022. "An experimental approach for improving stability in DC bus voltage of a stand-alone photovoltaic generator," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222017005
    DOI: 10.1016/j.energy.2022.124797
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222017005
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124797?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Han, Ying & Yang, Hanqing & Li, Qi & Chen, Weirong & Zare, Firuz & Guerrero, Josep M., 2020. "Mode-triggered droop method for the decentralized energy management of an islanded hybrid PV/hydrogen/battery DC microgrid," Energy, Elsevier, vol. 199(C).
    2. Osmani, Khaled & Haddad, Ahmad & Lemenand, Thierry & Castanier, Bruno & Ramadan, Mohamad, 2021. "An investigation on maximum power extraction algorithms from PV systems with corresponding DC-DC converters," Energy, Elsevier, vol. 224(C).
    3. 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).
    4. García-Triviño, Pablo & Torreglosa, Juan P. & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2016. "Control and operation of power sources in a medium-voltage direct-current microgrid for an electric vehicle fast charging station with a photovoltaic and a battery energy storage system," Energy, Elsevier, vol. 115(P1), pages 38-48.
    5. Marino, C. & Nucara, A. & Panzera, M.F. & Pietrafesa, M. & Varano, V., 2019. "Energetic and economic analysis of a stand alone photovoltaic system with hydrogen storage," Renewable Energy, Elsevier, vol. 142(C), pages 316-329.
    6. Aatabe, Mohamed & El Guezar, Fatima & Vargas, Alessandro N. & Bouzahir, Hassane, 2021. "A novel stochastic maximum power point tracking control for off-grid standalone photovoltaic systems with unpredictable load demand," Energy, Elsevier, vol. 235(C).
    7. Pinheiro, E. & Bandeiras, F. & Gomes, M. & Coelho, P. & Fernandes, J., 2019. "Performance analysis of wind generators and PV systems in industrial small-scale applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 392-401.
    8. Zhao, Bin & Ren, Yi & Gao, Diankui & Xu, Lizhi, 2019. "Performance ratio prediction of photovoltaic pumping system based on grey clustering and second curvelet neural network," Energy, Elsevier, vol. 171(C), pages 360-371.
    9. Shao, Nina & Ma, Liangdong & Zhang, Jili, 2020. "Experimental investigation on the performance of direct-expansion roof-PV/T heat pump system," Energy, Elsevier, vol. 195(C).
    10. de Carvalho Neto, João T. & Salazar, Andrés O. & Lock, Alberto S., 2019. "An analog based control scheme applied in stand-alone photovoltaic systems for DC power distribution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 236-246.
    11. Abdelkafi, Achraf & Masmoudi, Abdelkarim & Krichen, Lotfi, 2018. "Assisted power management of a stand-alone renewable multi-source system," Energy, Elsevier, vol. 145(C), pages 195-205.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amine, Hartani Mohamed & Aissa, Benhammou & Rezk, Hegazy & Messaoud, Hamouda & Othmane, Adbdelkhalek & Saad, Mekhilef & Abdelkareem, Mohammad Ali, 2023. "Enhancing hybrid energy storage systems with advanced low-pass filtration and frequency decoupling for optimal power allocation and reliability of cluster of DC-microgrids," Energy, Elsevier, vol. 282(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Fang & Hu, Rongzhao & Yin, Linfei, 2023. "Variable boundary reinforcement learning for maximum power point tracking of photovoltaic grid-connected systems," Energy, Elsevier, vol. 264(C).
    2. Ferahtia, Seydali & Rezk, Hegazy & Olabi, A.G. & Alhumade, Hesham & Bamufleh, Hisham S. & Doranehgard, Mohammad Hossein & Abdelkareem, Mohammad Ali, 2022. "Optimal techno-economic multi-level energy management of renewable-based DC microgrid for commercial buildings applications," Applied Energy, Elsevier, vol. 327(C).
    3. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Song, Zhiying & Ji, Jie & Cai, Jingyong & Zhao, Bin & Li, Zhaomeng, 2021. "Investigation on a direct-expansion solar-assisted heat pump with a novel hybrid compound parabolic concentrator/photovoltaic/fin evaporator," Applied Energy, Elsevier, vol. 299(C).
    5. Yao, Jian & Dou, Pengbo & Zheng, Sihang & Zhao, Yao & Dai, Yanjun & Zhu, Junjie & Novakovic, Vojislav, 2022. "Co-generation ability investigation of the novel structured PVT heat pump system and its effect on the “Carbon neutral” strategy of Shanghai," Energy, Elsevier, vol. 239(PA).
    6. Arévalo, Paul & Benavides, Dario & Tostado-Véliz, Marcos & Aguado, José A. & Jurado, Francisco, 2023. "Smart monitoring method for photovoltaic systems and failure control based on power smoothing techniques," Renewable Energy, Elsevier, vol. 205(C), pages 366-383.
    7. Thiaux, Yaël & Dang, Thu Thuy & Schmerber, Louis & Multon, Bernard & Ben Ahmed, Hamid & Bacha, Seddik & Tran, Quoc Tuan, 2019. "Demand-side management strategy in stand-alone hybrid photovoltaic systems with real-time simulation of stochastic electricity consumption behavior," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    8. Hamed, Mohammad M. & Mohammed, Ali & Olabi, Abdul Ghani, 2023. "Renewable energy adoption decisions in Jordan's industrial sector: Statistical analysis with unobserved heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    9. Abu Bakar Siddique & Hossam A. Gabbar, 2023. "Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System," Energies, MDPI, vol. 16(2), pages 1-22, January.
    10. Zhaowen Liang & Kai Liu & Jinjin Huang & Enfei Zhou & Chao Wang & Hui Wang & Qiong Huang & Zhenpo Wang, 2022. "Powertrain Design and Energy Management Strategy Optimization for a Fuel Cell Electric Intercity Coach in an Extremely Cold Mountain Area," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    11. Wang, Shuoqi & Guo, Dongxu & Han, Xuebing & Lu, Languang & Sun, Kai & Li, Weihan & Sauer, Dirk Uwe & Ouyang, Minggao, 2020. "Impact of battery degradation models on energy management of a grid-connected DC microgrid," Energy, Elsevier, vol. 207(C).
    12. Ali, Hayder & Khan, Hassan Abbas, 2020. "Techno-economic evaluation of two 42 kWp polycrystalline-Si and CIS thin-film based PV rooftop systems in Pakistan," Renewable Energy, Elsevier, vol. 152(C), pages 347-357.
    13. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Bianchi, Francesco & Domenghini, Piergiovanni & Cotana, Franco & Wang, Jinwen, 2022. "A techno-economic analysis of a solar PV and DC battery storage system for a community energy sharing," Energy, Elsevier, vol. 244(PB).
    14. Förster, Robert & Kaiser, Matthias & Wenninger, Simon, 2023. "Future vehicle energy supply - sustainable design and operation of hybrid hydrogen and electric microgrids," Applied Energy, Elsevier, vol. 334(C).
    15. Anamarija Falkoni & Antun Pfeifer & Goran Krajačić, 2020. "Vehicle-to-Grid in Standard and Fast Electric Vehicle Charging: Comparison of Renewable Energy Source Utilization and Charging Costs," Energies, MDPI, vol. 13(6), pages 1-22, March.
    16. Zhang, Yin & Qian, Tong & Tang, Wenhu, 2022. "Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration," Energy, Elsevier, vol. 244(PB).
    17. Tuyet Thi Anh Nguyen & Shuo-Yan Chou, 2022. "Fusion of interval-valued neutrosophic sets and financial assessment for optimal renewable energy portfolios with uncertainties," Energy & Environment, , vol. 33(4), pages 783-808, June.
    18. Feng, Wenxiu & Ruiz Mora, Carlos, 2023. "Risk Management of Energy Communities with Hydrogen Production and Storage Technologies," DES - Working Papers. Statistics and Econometrics. WS 36274, Universidad Carlos III de Madrid. Departamento de Estadística.
    19. Superchi, Francesco & Papi, Francesco & Mannelli, Andrea & Balduzzi, Francesco & Ferro, Francesco Maria & Bianchini, Alessandro, 2023. "Development of a reliable simulation framework for techno-economic analyses on green hydrogen production from wind farms using alkaline electrolyzers," Renewable Energy, Elsevier, vol. 207(C), pages 731-742.
    20. Julio López Seguel & Seleme I. Seleme & Lenin M. F. Morais, 2022. "Comparative Study of Buck-Boost, SEPIC, Cuk and Zeta DC-DC Converters Using Different MPPT Methods for Photovoltaic Applications," Energies, MDPI, vol. 15(21), pages 1-26, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222017005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.