IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p5891-d279586.html
   My bibliography  Save this article

Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid

Author

Listed:
  • Jong-Chan Kim

    (Department of Computer Engineering, Sunchon National University, 255 Jungang-ro, Suncheon-city Jeollanam do 57922, Korea)

  • Jun-Ho Huh

    (Department of Data Informatics, Korea Maritime and Ocean University, Busan 49112, Korea)

  • Jae-Sub Ko

    (Department of Electrical Engineering, Sunchon National University, 255 Jungang-ro, Suncheon-city Jeollanam do 57922, Korea)

Abstract

This paper proposes the method for maximum power point tracking (MPPT) of the photovoltaic (PV) system. The conventional PI controller controls the system with fixed gains. Conventional PI controllers with fixed gains cannot satisfy both transient and steady-state. Therefore, to overcome the shortcomings of conventional PI controllers, this paper presents the variable gain proportional integral (VGPI) controllers that control the gain value of PI controllers using fuzzy control. Inputs of fuzzy control used in the VGPI controller are the slope from the voltage-power characteristics of the PV module. This paper designs fuzzy control’s membership functions and rule bases using the characteristics that the slope decreases in size, as it approaches the maximum power point and increases as it gets farther. In addition, the gain of the PI controller is adjusted to increase in transient-state and decrease in steady-state in order to improve the error in steady-state and the tracking speed of maximum power point of the PV system. The performance of the VGPI controller has experimented in cases where the solar radiation is constant and the solar radiation varies, to compare with the performance of the P&O method, which is traditionally used most often in MPPT, and the performance of the PI controller, which is used most commonly in the industry field. Finally, the results from the experiment are presented and the results are analyzed.

Suggested Citation

  • Jong-Chan Kim & Jun-Ho Huh & Jae-Sub Ko, 2019. "Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid," Sustainability, MDPI, vol. 11(21), pages 1-27, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5891-:d:279586
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/5891/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/21/5891/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Silvano Vergura, 2016. "A Complete and Simplified Datasheet-Based Model of PV Cells in Variable Environmental Conditions for Circuit Simulation," Energies, MDPI, vol. 9(5), pages 1-12, April.
    3. Yuxiao Qin & Li Sun & Qingsong Hua & Ping Liu, 2018. "A Fuzzy Adaptive PID Controller Design for Fuel Cell Power Plant," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    4. Eltawil, Mohamed A. & Zhao, Zhengming, 2010. "Grid-connected photovoltaic power systems: Technical and potential problems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 112-129, January.
    5. Taghvaee, M.H. & Radzi, M.A.M. & Moosavain, S.M. & Hizam, Hashim & Hamiruce Marhaban, M., 2013. "A current and future study on non-isolated DC–DC converters for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 216-227.
    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. Abdul Conteh & Mohammed Elsayed Lotfy & Oludamilare Bode Adewuyi & Paras Mandal & Hiroshi Takahashi & Tomonobu Senjyu, 2020. "Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    2. Arash Moradzadeh & Sahar Zakeri & Maryam Shoaran & Behnam Mohammadi-Ivatloo & Fazel Mohammadi, 2020. "Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    3. Catalina González-Castaño & James Marulanda & Carlos Restrepo & Samir Kouro & Alfonso Alzate & Jose Rodriguez, 2021. "Hardware-in-the-Loop to Test an MPPT Technique of Solar Photovoltaic System: A Support Vector Machine Approach," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    4. Andrés Tobón & Julián Peláez-Restrepo & Jhon Montano & Mariana Durango & Jorge Herrera & Asier Ibeas, 2020. "MPPT of a Photovoltaic Panels Array with Partial Shading Using the IPSM with Implementation Both in Simulation as in Hardware," Energies, MDPI, vol. 13(4), pages 1-17, February.
    5. Fatemeh Jamshidi & Mohammad Reza Salehizadeh & Reza Yazdani & Brian Azzopardi & Vibhu Jately, 2023. "An Improved Sliding Mode Controller for MPP Tracking of Photovoltaics," Energies, MDPI, vol. 16(5), pages 1-20, March.
    6. Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.

    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. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Comprehensive overview of grid interfaced solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 316-332.
    2. Boumaaraf, Houria & Talha, Abdelaziz & Bouhali, Omar, 2015. "A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1171-1179.
    3. Raud, Ralf & Cholette, Michael E. & Riahi, Soheila & Bruno, Frank & Saman, Wasim & Will, Geoffrey & Steinberg, Theodore A., 2017. "Design optimization method for tube and fin latent heat thermal energy storage systems," Energy, Elsevier, vol. 134(C), pages 585-594.
    4. Zini, Gabriele & Mangeant, Christophe & Merten, Jens, 2011. "Reliability of large-scale grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 36(9), pages 2334-2340.
    5. Weng-Hooi Tan & Junita Mohamad-Saleh, 2023. "Critical Review on Interrelationship of Electro-Devices in PV Solar Systems with Their Evolution and Future Prospects for MPPT Applications," Energies, MDPI, vol. 16(2), pages 1-37, January.
    6. Yuxiao Qin & Guodong Zhao & Qingsong Hua & Li Sun & Soumyadeep Nag, 2019. "Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    7. Mehrabankhomartash, Mahmoud & Rayati, Mohammad & Sheikhi, Aras & Ranjbar, Ali Mohammad, 2017. "Practical battery size optimization of a PV system by considering individual customer damage function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 36-50.
    8. Bayrak, Gökay & Kabalci, Ersan, 2016. "Implementation of a new remote islanding detection method for wind–solar hybrid power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1-15.
    9. Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
    10. Zhang, Chao & Wei, Yi-Li & Cao, Peng-Fei & Lin, Meng-Chang, 2018. "Energy storage system: Current studies on batteries and power condition system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3091-3106.
    11. Dias, Luís & Gouveia, João Pedro & Lourenço, Paulo & Seixas, Júlia, 2019. "Interplay between the potential of photovoltaic systems and agricultural land use," Land Use Policy, Elsevier, vol. 81(C), pages 725-735.
    12. Sivakumar, S. & Sathik, M. Jagabar & Manoj, P.S. & Sundararajan, G., 2016. "An assessment on performance of DC–DC converters for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1475-1485.
    13. Dixon, Christopher & Reynolds, Steve & Rodley, David, 2016. "Micro/small wind turbine power control for electrolysis applications," Renewable Energy, Elsevier, vol. 87(P1), pages 182-192.
    14. Amir, Asim & Amir, Aamir & Che, Hang Seng & Elkhateb, Ahmad & Rahim, Nasrudin Abd, 2019. "Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems," Renewable Energy, Elsevier, vol. 136(C), pages 1147-1163.
    15. Rehman, Zubair & Al-Bahadly, Ibrahim & Mukhopadhyay, Subhas, 2015. "Multiinput DC–DC converters in renewable energy applications – An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 521-539.
    16. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    17. Ku Ahmad, Ku Nurul Edhura & Selvaraj, Jeyraj & Rahim, Nasrudin Abd, 2013. "A review of the islanding detection methods in grid-connected PV inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 756-766.
    18. Mirhassani, SeyedMohsen & Ong, Hwai Chyuan & Chong, W.T. & Leong, K.Y., 2015. "Advances and challenges in grid tied photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 121-131.
    19. Patrao, Iván & Figueres, Emilio & González-Espín, Fran & Garcerá, Gabriel, 2011. "Transformerless topologies for grid-connected single-phase photovoltaic inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3423-3431, September.
    20. 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.

    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:gam:jsusta:v:11:y:2019:i:21:p:5891-:d:279586. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.