Control of Stand-Alone Hybrid Wind-Photovoltaic Energy System Using Fuzzy Logic
Main Article Content
Abstract
Standalone hybrid wind-photovoltaic system performance is strongly dependent on the DC bus voltage and the ability to reach the point of maximum power under the variation of weather condition and load consumption. In the paper, the proportional-integral controller and bidirectional DC/DC converter are used to keep DC bus voltage in constant value. To obtain the maximum power from wind turbine and solar panel, a proposed method to find the point of maximum power combining fuzzy logic and perturb and observe method is introduced, in which a maximum power point tracking fuzzy logic controller with only one input is designed to obtain the maximum power from solar panel. The advantages of the MPPT fuzzy logic controller with one input are its simple structure, reducing the complexity in the steps of fuzzification, building fuzzy rules, and defuzzification compared to the maximum power point tracking fuzzy logic with two inputs. In order to avoid the over-charge and over-discharge of lithium-ion battery, a fuzzy logic supervisor is used. The simulation results in Matlab/Simulink software are presented to show the good performances of the proposed controllers in the standalone hybrid wind-photovoltaic system.
Keywords
Wind energy, photovoltaic, hybrid system, maximum power point tracking, stand-alone system, battery, fuzzy logic control.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
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[16] Faquir, Sanaa and Yahyaouy, Ali and Tairi, Hamid and Sabor, Jalal, Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm, International Journal of Intelligent Engineering Informatics, vol. 4, no. 3-4, pp. 229-244, 2016. https://doi.org/10.1504/IJIEI.2016.080516 [17] K. Loukil, H. Abbes, H. Abid, M. Abid, A. Toumi, Design and implementation of reconfigurable MPPT fuzzy controller for photovoltaic systems, Ain Shams Engineering Journal, vol. 11, iss. 2, pp. 319-328, 2020. https://doi.org/10.1016/j.asej.2019.10.002
[18] A. S, Type-2 fuzzy supervisor for a stand-alone system using PMSG variable speed wind turbine, International Journal of Advanced Research, vol. 7, no. 2, pp. 1041-1049, Feb. 2019. https://doi.org/10.21474/IJAR01/8577
[19] B. Mendi, M. Pattnaik and G. Srungavarapu, A speed sensorless modified perturb and observe MPPT scheme for stand-alone PMSG based wind turbine system, in 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), Arad, Romania, 20-22 May. 2022, pp. 338-342. https://doi.org/10.1109/GlobConET53749.2022.9872331
[20] Al-Quraan, Ayman, and Muhannad Al-Qaisi, Modelling, design and control of a standalone hybrid PV-Wind micro-grid system, Energies, vol. 14, iss. 16, Aug. 2021. https://doi.org/10.3390/en14164849
[21] M. R. Hans, M. B. Gaikwad, M. K. Nigam and B. Patel, Comparative analysis of the traditional perturb and observe with studied FPPT method and fuzzy logic control strategy based P and O for the MPPT of a photovoltaic system, 2021 IEEE Mysore Sub Section International Conference (MysuruCon), Hassan, India, 2021, pp. 372-377. https://doi.org/10.1109/MysuruCon52639.2021.9641555
[22] G. Dhaouadi, O. Djamel, S. Youcef and A. BOUDEN, Fuzzy logic controller based MPPT for a photovoltaic system, in 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, Tripoli, Libya, 25-27 May. 2021, pp. 204-208. https://doi.org/10.1109/MI-STA52233.2021.9464439
[23] M. Dabboussi, A. Hmidet and O. Boubaker, An efficient fuzzy logic MPPT control approach for solar PV system: A comparative analysis with the conventional perturb and observe technique, in 2020 6th IEEE International Energy Conference (ENERGYCon), Gammarth, Tunisia, 28 Sep. 2020, pp. 366-371. https://doi.org/10.1109/ENERGYCon48941.2020.923 6503
[2] A. Merabet, K. Tawfique Ahmed, H. Ibrahim, R. Beguenane and A. M. Y. M. Ghias, Energy management and control system for laboratory scale microgrid based wind-PV-battery, in IEEE Transactions on Sustainable Energy, vol. 8, iss. 1, Jan. 2017, pp. 145-154. https://doi.org/10.1109/TSTE.2016.2587828
[3] Ayas Shaqour, Hooman Farzaneh, Yuichiro Yoshida, Tatsuya Hinokuma, Power control and simulation of a building integrated stand-alone hybrid PV-windbattery system in Kasuga City, Japan, Energy Reports, vol. 6, pp. 1528-1544, Nov. 2020. https://doi.org/10.1016/j.egyr.2020.06.003
[4] J. Ahmed Chaib, Djalloul Achour, Mohamed Kesraoui, Control of a solar PV/wind hybrid energy system, Energy Procedia, vol. 95, pp. 89-97, Sep. 2016. https://doi.org/10.1016/j.egypro.2016.09.028
[5] Ibrahim AL-Wesabi, Fang Zhijian, Cai Jiuqing, Hassan M. Hussein Farh, Imad Aboudrar, Idriss Dagal, Tarek Kandil, Abdulrahman A. Al-Shamma'a, Fahman Saeed, Fast DC-link voltage control based on power flow management using linear ADRC combined with hybrid salp particle swarm algorithm for PV/wind energy conversion system, International Journal of Hydrogen Energy, vol. 61, pp. 688-709, Apr. 2024. https://doi.org/10.1016/j.ijhydene.2024.02.325 [6] T. Boutabba, S. Drid, L. Chrifi-Alaoui, M. Ouriagli and P. Bussy, MPPT technique for standalone hybrid PV-Wind using fuzzy controller with power management, in 2019 8th International Conference on Systems and Control (ICSC), Marrakesh, Morocco, 23-25 Oct. 2019, pp. 377-381. https://doi.org/10.1109/ICSC47195.2019.8950576
[7] Duy An. PHAM, Frédéric. NOLLET, and Najib. ESSOUNBOULI, A one input fuzzy logic controller for maximum power point tracking of a photovoltaic system, Journal of Electrical Engineering, vol. 17, no. 1, pp. 9-15, Mar. 2017.
[8] K. R. Prajapati, Application of fuzzy logic for MPPT control in stand-alone wind energy conversion system with a battery storage system, in 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Tamilnadu, India, 11-13 Apr. 2019, pp. 1-6. https://doi.org/10.1109/INCOS45849.2019.8951386
[9] S. N. Thanh, H. H. Xuan, C. N. The, P. P. Hung, T. P. Van and R. Kennel, Fuzzy logic based maximum power point tracking technique for a stand-alone wind energy system, in 2016 IEEE International Conference on Sustainable Energy Technologies (ICSET), Hanoi, Vietnam, 14-16 Nov. 2016, pp. 320-325. https://doi.org/10.1109/ICSET.2016.7811803
[10] Huynh Quang Minh, N. Frederic, N. Essounbouli and H. Abdelaziz, A new MPPT method for stand-alone wind energy conversion system, in 2012 2nd International Symposium On Environment Friendly Energies And Applications, Newcastle Upon Tyne, UK, 25-27 Jun. 2012, pp. 335-340. https://doi.org/10.1109/EFEA.2012.6294053
[11] S. M. Shyni and R. Ramadevi, Fuzzy logic controller based energy management (FLCBEM) for a renewable hybrid system, in 2019 11th International Conference on Advanced Computing (ICoAC), Chennai, India, 18-20 Dec. 2019, pp. 333-337. https://doi.org/10.1109/ICoAC48765.2019.246862 [12] N. K. Mourya and B. Koul, Fuzzy logic-based PV-battery system for a standalone microgrid, in 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 26-28 May. 2023, pp. 1-6. https://doi.org/10.1109/INCET57972.2023.10170223
[13] M. Zerouali, A. El Ougli, B. Tidhaf and H. Zrouri, Fuzzy logic MPPT and battery charging control for photovoltaic system under real weather conditions, in 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), Kenitra, Morocco, 02-03 Dec. 2020, pp. 1-5. https://doi.org/10.1109/ICECOCS50124.2020.9314531
[14] H. Q. Minh, N. Frédéric, E. Najib and H. Abdelaziz, Power management of a variable speed wind turbine for stand-alone system using fuzzy logic, in 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, 27-30 Jun. 2011, pp. 1404-1410. https://doi.org/10.1109/FUZZY.2011.6007718
[15] Sanaa Faquir, Ali Yahyaouy, Hamid Tairi and Jalal Sabor, Energy management of an extended hybrid renewable energy system for isolated sites using a fuzzy logic controller, IOP Conference Series: Materials Science and Engineering, vol. 353,Meknes, Morocco. https://doi.org/10.1088/1757-899X/353/1/012025
[16] Faquir, Sanaa and Yahyaouy, Ali and Tairi, Hamid and Sabor, Jalal, Energy management in a hybrid PV/wind/battery system using a type-1 fuzzy logic computer algorithm, International Journal of Intelligent Engineering Informatics, vol. 4, no. 3-4, pp. 229-244, 2016. https://doi.org/10.1504/IJIEI.2016.080516 [17] K. Loukil, H. Abbes, H. Abid, M. Abid, A. Toumi, Design and implementation of reconfigurable MPPT fuzzy controller for photovoltaic systems, Ain Shams Engineering Journal, vol. 11, iss. 2, pp. 319-328, 2020. https://doi.org/10.1016/j.asej.2019.10.002
[18] A. S, Type-2 fuzzy supervisor for a stand-alone system using PMSG variable speed wind turbine, International Journal of Advanced Research, vol. 7, no. 2, pp. 1041-1049, Feb. 2019. https://doi.org/10.21474/IJAR01/8577
[19] B. Mendi, M. Pattnaik and G. Srungavarapu, A speed sensorless modified perturb and observe MPPT scheme for stand-alone PMSG based wind turbine system, in 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET), Arad, Romania, 20-22 May. 2022, pp. 338-342. https://doi.org/10.1109/GlobConET53749.2022.9872331
[20] Al-Quraan, Ayman, and Muhannad Al-Qaisi, Modelling, design and control of a standalone hybrid PV-Wind micro-grid system, Energies, vol. 14, iss. 16, Aug. 2021. https://doi.org/10.3390/en14164849
[21] M. R. Hans, M. B. Gaikwad, M. K. Nigam and B. Patel, Comparative analysis of the traditional perturb and observe with studied FPPT method and fuzzy logic control strategy based P and O for the MPPT of a photovoltaic system, 2021 IEEE Mysore Sub Section International Conference (MysuruCon), Hassan, India, 2021, pp. 372-377. https://doi.org/10.1109/MysuruCon52639.2021.9641555
[22] G. Dhaouadi, O. Djamel, S. Youcef and A. BOUDEN, Fuzzy logic controller based MPPT for a photovoltaic system, in 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, Tripoli, Libya, 25-27 May. 2021, pp. 204-208. https://doi.org/10.1109/MI-STA52233.2021.9464439
[23] M. Dabboussi, A. Hmidet and O. Boubaker, An efficient fuzzy logic MPPT control approach for solar PV system: A comparative analysis with the conventional perturb and observe technique, in 2020 6th IEEE International Energy Conference (ENERGYCon), Gammarth, Tunisia, 28 Sep. 2020, pp. 366-371. https://doi.org/10.1109/ENERGYCon48941.2020.923 6503