IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i6p1693-1703.html
   My bibliography  Save this article

A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system

Author

Listed:
  • Datta, Manoj
  • Senjyu, Tomonobu
  • Yona, Atsushi
  • Funabashi, Toshihisa

Abstract

A Photovoltaic system’s output power fluctuates as insolation varies with weather condition. Fluctuating PV power causes frequency deviations when large PV power is penetrated in the isolated utility. In this paper, a fuzzy based method for leveling the fluctuations of PV power in a PV-diesel hybrid power system is proposed. By means of the proposed method, output power control of PV system becomes possible considering power utility conditions and the conflicting objective of output power leveling and maximizing energy capture is achieved. Here, fuzzy control is used to generate the output leveling power command. The fuzzy control has three inputs of average insolation, variance of insolation, and absolute average of frequency deviation. First, the proposed method is compared with the method where captured maximum power is given to the utility without leveling. Second, the proposed method is compared with a conventional method where captured maximum power is leveled by using an energy storage system and is given to the isolated utility. Simulation results show that the proposed method is effective in leveling PV power fluctuations and is feasible to reduce the frequency deviations of the isolated power utility.

Suggested Citation

  • Datta, Manoj & Senjyu, Tomonobu & Yona, Atsushi & Funabashi, Toshihisa, 2011. "A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system," Renewable Energy, Elsevier, vol. 36(6), pages 1693-1703.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:6:p:1693-1703
    DOI: 10.1016/j.renene.2010.12.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014811000563X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2010.12.009?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. Bhatti, T.S. & Al-Ademi, A.A.F. & Bansal, N.K., 1997. "Load-frequency control of isolated wind-diesel-microhydro hybrid power systems (WDMHPS)," Energy, Elsevier, vol. 22(5), pages 461-470.
    2. Tafticht, T. & Agbossou, K. & Doumbia, M.L. & Chériti, A., 2008. "An improved maximum power point tracking method for photovoltaic systems," Renewable Energy, Elsevier, vol. 33(7), pages 1508-1516.
    3. Ben Salah, Chokri & Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Multi-criteria fuzzy algorithm for energy management of a domestic photovoltaic panel," Renewable Energy, Elsevier, vol. 33(5), pages 993-1001.
    4. Papathanassiou, Stavros A & Papadopoulos, Michael P, 2001. "Dynamic characteristics of autonomous wind–diesel systems," Renewable Energy, Elsevier, vol. 23(2), pages 293-311.
    5. Patcharaprakiti, Nopporn & Premrudeepreechacharn, Suttichai & Sriuthaisiriwong, Yosanai, 2005. "Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system," Renewable Energy, Elsevier, vol. 30(11), pages 1771-1788.
    6. Gounden, N. Ammasai & Ann Peter, Sabitha & Nallandula, Himaja & Krithiga, S., 2009. "Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 34(3), pages 909-915.
    7. Chen, Wei & Shen, Hui & Shu, Bifen & Qin, Hong & Deng, Tao, 2007. "Evaluation of performance of MPPT devices in PV systems with storage batteries," Renewable Energy, Elsevier, vol. 32(9), pages 1611-1622.
    8. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2008. "Feasibility analysis of stand-alone renewable energy supply options for a large hotel," Renewable Energy, Elsevier, vol. 33(7), pages 1475-1490.
    9. Wichert, B., 1997. "PV-diesel hybrid energy systems for remote area power generation -- A review of current practice and future developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 1(3), pages 209-228, September.
    10. Altas, I.H. & Sharaf, A.M., 2008. "A novel maximum power fuzzy logic controller for photovoltaic solar energy systems," Renewable Energy, Elsevier, vol. 33(3), pages 388-399.
    11. Syafaruddin, & Karatepe, Engin & Hiyama, Takashi, 2009. "Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system," Renewable Energy, Elsevier, vol. 34(12), pages 2597-2606.
    12. Larbes, C. & Aït Cheikh, S.M. & Obeidi, T. & Zerguerras, A., 2009. "Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system," Renewable Energy, Elsevier, vol. 34(10), pages 2093-2100.
    13. Senjyu, Tomonobu & Hayashi, Daisuke & Yona, Atsushi & Urasaki, Naomitsu & Funabashi, Toshihisa, 2007. "Optimal configuration of power generating systems in isolated island with renewable energy," Renewable Energy, Elsevier, vol. 32(11), pages 1917-1933.
    14. Shaahid, S.M. & Elhadidy, M.A., 2004. "Prospects of autonomous/stand-alone hybrid (photo-voltaic + diesel + battery) power systems in commercial applications in hot regions," Renewable Energy, Elsevier, vol. 29(2), pages 165-177.
    15. Shaahid, S.M. & El-Amin, I., 2009. "Techno-economic evaluation of off-grid hybrid photovoltaic-diesel-battery power systems for rural electrification in Saudi Arabia--A way forward for sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 625-633, April.
    16. Bahgat, A.B.G. & Helwa, N.H. & Ahmad, G.E. & El Shenawy, E.T., 2005. "Maximum power point traking controller for PV systems using neural networks," Renewable Energy, Elsevier, vol. 30(8), pages 1257-1268.
    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. Rajesh, R. & Mabel, M. Carolin, 2016. "Design and real time implementation of a novel rule compressed fuzzy logic method for the determination operating point in a photo voltaic system," Energy, Elsevier, vol. 116(P1), pages 140-153.
    2. Irshad, Ahmad Shah & Samadi, Wais Khan & Fazli, Agha Mohammad & Noori, Abdul Ghani & Amin, Ahmad Shah & Zakir, Mohammad Naseer & Bakhtyal, Irfan Ahmad & Karimi, Bashir Ahmad & Ludin, Gul Ahmad & Senjy, 2023. "Resilience and reliable integration of PV-wind and hydropower based 100% hybrid renewable energy system without any energy storage system for inaccessible area electrification," Energy, Elsevier, vol. 282(C).
    3. Haisheng Hong & Quanyuan Jiang, 2019. "Model Predictive Control-Based Coordinated Control Algorithm with a Hybrid Energy Storage System to Smooth Wind Power Fluctuations," Energies, MDPI, vol. 12(23), pages 1-17, December.
    4. Patrick Sunday Onen & Geev Mokryani & Rana H. A. Zubo, 2022. "Planning of Multi-Vector Energy Systems with High Penetration of Renewable Energy Source: A Comprehensive Review," Energies, MDPI, vol. 15(15), pages 1-25, August.
    5. Indu Rani, B. & Saravana Ilango, G. & Nagamani, C., 2012. "Power flow management algorithm for photovoltaic systems feeding DC/AC loads," Renewable Energy, Elsevier, vol. 43(C), pages 267-275.
    6. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    7. Sa-ngawong, Nattapol & Ngamroo, Issarachai, 2015. "Intelligent photovoltaic farms for robust frequency stabilization in multi-area interconnected power system based on PSO-based optimal Sugeno fuzzy logic control," Renewable Energy, Elsevier, vol. 74(C), pages 555-567.

    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. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.
    2. Mellit, Adel & Kalogirou, Soteris A., 2014. "MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives," Energy, Elsevier, vol. 70(C), pages 1-21.
    3. Rajesh, R. & Mabel, M. Carolin, 2016. "Design and real time implementation of a novel rule compressed fuzzy logic method for the determination operating point in a photo voltaic system," Energy, Elsevier, vol. 116(P1), pages 140-153.
    4. Po-Chen Cheng & Bo-Rei Peng & Yi-Hua Liu & Yu-Shan Cheng & Jia-Wei Huang, 2015. "Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique," Energies, MDPI, vol. 8(6), pages 1-23, June.
    5. Yap, Wai Kean & Karri, Vishy, 2015. "An off-grid hybrid PV/diesel model as a planning and design tool, incorporating dynamic and ANN modelling techniques," Renewable Energy, Elsevier, vol. 78(C), pages 42-50.
    6. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    7. Chun-Liang Liu & Jing-Hsiao Chen & Yi-Hua Liu & Zong-Zhen Yang, 2014. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 7(4), pages 1-17, April.
    8. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    9. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    10. 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.
    11. Danandeh, M.A. & Mousavi G., S.M., 2018. "Comparative and comprehensive review of maximum power point tracking methods for PV cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2743-2767.
    12. Joshi, Puneet & Arora, Sudha, 2017. "Maximum power point tracking methodologies for solar PV systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1154-1177.
    13. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    14. Kofinas, P. & Doltsinis, S. & Dounis, A.I. & Vouros, G.A., 2017. "A reinforcement learning approach for MPPT control method of photovoltaic sources," Renewable Energy, Elsevier, vol. 108(C), pages 461-473.
    15. Kakosimos, Panagiotis E. & Kladas, Antonios G., 2011. "Implementation of photovoltaic array MPPT through fixed step predictive control technique," Renewable Energy, Elsevier, vol. 36(9), pages 2508-2514.
    16. Chatterjee, Shantanu & Kumar, Prashant & Chatterjee, Saibal, 2018. "A techno-commercial review on grid connected photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2371-2397.
    17. Yi Jin & Wenhui Hou & Guiqiang Li & Xiao Chen, 2017. "A Glowworm Swarm Optimization-Based Maximum Power Point Tracking for Photovoltaic/Thermal Systems under Non-Uniform Solar Irradiation and Temperature Distribution," Energies, MDPI, vol. 10(4), pages 1-13, April.
    18. Jurado, Francisco & Saenz, José R., 2002. "Possibilities for biomass-based power plant and wind system integration," Energy, Elsevier, vol. 27(10), pages 955-966.
    19. Sebastián, R. & Quesada, J., 2006. "Distributed control system for frequency control in a isolated wind system," Renewable Energy, Elsevier, vol. 31(3), pages 285-305.
    20. Deshmukh, M.K. & Deshmukh, S.S., 2008. "Modeling of hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 235-249, January.

    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:1693-1703. 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.