IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i6p1741-1746.html
   My bibliography  Save this article

Frequency deviation control by coordination control of FC and double-layer capacitor in an autonomous hybrid renewable energy power generation system

Author

Listed:
  • Nayeripour, Majid
  • Hoseintabar, Mohammad
  • Niknam, Taher

Abstract

In this paper, a novel control strategy for frequency control in stand-alone application based on coordination control of fuel cells (FCs) and double-layer capacitor (DLC) bank in an autonomous hybrid renewable energy power generation system is implemented. The proposed renewable energy power generation subsystems include wind turbine generator (WTG), photovoltaic system (PV), FC system and DLC bank as energy storage system. The system performance under different condition has been verified by using real weather data. Simulation results demonstrate the validity of proposed studied hybrid power generation system feeding isolated loads in power frequency balance condition.

Suggested Citation

  • Nayeripour, Majid & Hoseintabar, Mohammad & Niknam, Taher, 2011. "Frequency deviation control by coordination control of FC and double-layer capacitor in an autonomous hybrid renewable energy power generation system," Renewable Energy, Elsevier, vol. 36(6), pages 1741-1746.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:6:p:1741-1746
    DOI: 10.1016/j.renene.2010.12.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148110005665
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2010.12.012?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. Khan, M.J. & Iqbal, M.T., 2005. "Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system," Renewable Energy, Elsevier, vol. 30(3), pages 421-439.
    2. Uzunoglu, M. & Onar, O.C. & Alam, M.S., 2009. "Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications," Renewable Energy, Elsevier, vol. 34(3), pages 509-520.
    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. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).
    2. Ana Fernández-Guillamón & Guillermo Martínez-Lucas & Ángel Molina-García & Jose-Ignacio Sarasua, 2020. "Hybrid Wind–PV Frequency Control Strategy under Variable Weather Conditions in Isolated Power Systems," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    3. Abdul Latif & Arup Pramanik & Dulal Chandra Das & Israfil Hussain & Sudhanshu Ranjan, 2018. "Plug in hybrid vehicle-wind-diesel autonomous hybrid power system: frequency control using FA and CSA optimized controller," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1147-1158, October.
    4. Akram, Umer & Nadarajah, Mithulananthan & Shah, Rakibuzzaman & Milano, Federico, 2020. "A review on rapid responsive energy storage technologies for frequency regulation in modern power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Xiao Qi & Yan Bai, 2017. "Improved Linear Active Disturbance Rejection Control for Microgrid Frequency Regulation," Energies, MDPI, vol. 10(7), pages 1-20, July.
    6. Pandey, Shashi Kant & Mohanty, Soumya R. & Kishor, Nand, 2013. "A literature survey on load–frequency control for conventional and distribution generation power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 318-334.
    7. Hao Ji & Meng Wang & Ting Yang & Junjie Zhao, 2018. "State feedback control aware stochastic transmitting latency in cyber-physical power system," International Journal of Distributed Sensor Networks, , vol. 14(9), pages 16878140187, September.
    8. Gholam Ali Alizadeh & Tohid Rahimi & Mohsen Hasan Babayi Nozadian & Sanjeevikumar Padmanaban & Zbigniew Leonowicz, 2019. "Improving Microgrid Frequency Regulation Based on the Virtual Inertia Concept while Considering Communication System Delay," Energies, MDPI, vol. 12(10), pages 1-15, May.
    9. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    10. Arya, Yogendra, 2019. "AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller," Renewable Energy, Elsevier, vol. 134(C), pages 796-806.
    11. Sudhanshu Ranjan & Smriti Jaiswal & Abdul Latif & Dulal Chandra Das & Nidul Sinha & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies," Energies, MDPI, vol. 14(24), pages 1-20, December.

    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. Bajpai, Prabodh & Dash, Vaishalee, 2012. "Hybrid renewable energy systems for power generation in stand-alone applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2926-2939.
    2. Sudhanshu Ranjan & Smriti Jaiswal & Abdul Latif & Dulal Chandra Das & Nidul Sinha & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies," Energies, MDPI, vol. 14(24), pages 1-20, December.
    3. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).
    4. Erdinc, O. & Uzunoglu, M., 2010. "Recent trends in PEM fuel cell-powered hybrid systems: Investigation of application areas, design architectures and energy management approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2874-2884, December.
    5. Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
    6. Sharifi Asl, S.M. & Rowshanzamir, S. & Eikani, M.H., 2010. "Modelling and simulation of the steady-state and dynamic behaviour of a PEM fuel cell," Energy, Elsevier, vol. 35(4), pages 1633-1646.
    7. Zhang, Nan & Lu, Yiji & Kadam, Sambhaji & Yu, Zhibin, 2023. "A fuel cell range extender integrating with heat pump for cabin heat and power generation," Applied Energy, Elsevier, vol. 348(C).
    8. Chen, Hung-Cheng, 2013. "Optimum capacity determination of stand-alone hybrid generation system considering cost and reliability," Applied Energy, Elsevier, vol. 103(C), pages 155-164.
    9. Jann Michael Weinand, 2020. "Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field between 1991 and 2019," Energies, MDPI, vol. 13(6), pages 1-18, March.
    10. Pérez-Navarro, A. & Alfonso, D. & Ariza, H.E. & Cárcel, J. & Correcher, A. & Escrivá-Escrivá, G. & Hurtado, E. & Ibáñez, F. & Peñalvo, E. & Roig, R. & Roldán, C. & Sánchez, C. & Segura, I. & Vargas, C, 2016. "Experimental verification of hybrid renewable systems as feasible energy sources," Renewable Energy, Elsevier, vol. 86(C), pages 384-391.
    11. Isa, Normazlina Mat & Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M. & Lau, Kwan Yiew, 2016. "A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital," Energy, Elsevier, vol. 112(C), pages 75-90.
    12. Shivarama Krishna, K. & Sathish Kumar, K., 2015. "A review on hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 907-916.
    13. Uzunoglu, M. & Onar, O.C. & Alam, M.S., 2009. "Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications," Renewable Energy, Elsevier, vol. 34(3), pages 509-520.
    14. Israfil Hussain & Dulal Chandra Das & Nidul Sinha & Abdul Latif & S. M. Suhail Hussain & Taha Selim Ustun, 2020. "Performance Assessment of an Islanded Hybrid Power System with Different Storage Combinations Using an FPA-Tuned Two-Degree-of-Freedom (2DOF) Controller," Energies, MDPI, vol. 13(21), pages 1-20, October.
    15. G. García Clúa, José & Mantz, Ricardo J. & De Battista, Hernán, 2011. "Evaluation of hydrogen production capabilities of a grid-assisted wind-H2 system," Applied Energy, Elsevier, vol. 88(5), pages 1857-1863, May.
    16. Maleki, Akbar & Pourfayaz, Fathollah & Rosen, Marc A., 2016. "A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: A case study for Namin, Iran," Energy, Elsevier, vol. 98(C), pages 168-180.
    17. Armghan, Hammad & Yang, Ming & Ali, Naghmash & Armghan, Ammar & Alanazi, Abdulaziz, 2022. "Quick reaching law based global terminal sliding mode control for wind/hydrogen/battery DC microgrid," Applied Energy, Elsevier, vol. 316(C).
    18. Rullo, P. & Braccia, L. & Luppi, P. & Zumoffen, D. & Feroldi, D., 2019. "Integration of sizing and energy management based on economic predictive control for standalone hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 140(C), pages 436-451.
    19. Rui Yang & Yupeng Yuan & Rushun Ying & Boyang Shen & Teng Long, 2020. "A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 13(6), pages 1-14, March.
    20. Ehsan, Ali & Yang, Qiang, 2019. "Scenario-based investment planning of isolated multi-energy microgrids considering electricity, heating and cooling demand," Applied Energy, Elsevier, vol. 235(C), pages 1277-1288.

    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:renene:v:36:y:2011:i:6:p:1741-1746. 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/renewable-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.