IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v228y2021ics0360544221008513.html
   My bibliography  Save this article

High-efficiency swarm intelligent maximum power point tracking control techniques for varying temperature and irradiance

Author

Listed:
  • Mirza, Adeel Feroz
  • Mansoor, Majad
  • Zhan, Keyu
  • Ling, Qiang

Abstract

PV systems may suffer significant power loss caused by irregular irradiance patterns and changing temperatures. Moreover, partial shading (PS) is a major defect for existing maximum power point tracking (MPPT) controllers. This paper proposes efficient and robust MPPT controllers using novel Slime mould optimization (SMO) and improved salp swarm optimization algorithm (ISSA) to track GMPP for different PV array configurations. ISSA takes opposition based learning (OBL) and local search algorithm (LSA) to perform maximum exploration of the search space. Due to LSA, the oscillation of ISSA can be reduced to zero. Moreover, a novel SMO MPPT technique is introduced for MPPT tracking of PV systems under various weather conditions. The results of the proposed controllers are compared with those of well-known perturb and observe (P&O), particle swarm optimization (PSO), SSA, and cuckoo search optimization algorithm (CSA) MPPT techniques. Six distinct cases of varying temperature, field atmospheric data study, uniform irradiance, PS, and complex-PS are studied. Results and their analysis confirm that the proposed controllers have the highest transient and steady-state efficiency of up to 99.9% with the least tracking time of up to 130 ms while keeping the oscillation in the steady-state well below 1–2W.

Suggested Citation

  • Mirza, Adeel Feroz & Mansoor, Majad & Zhan, Keyu & Ling, Qiang, 2021. "High-efficiency swarm intelligent maximum power point tracking control techniques for varying temperature and irradiance," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221008513
    DOI: 10.1016/j.energy.2021.120602
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221008513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120602?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. Sai Krishna, G. & Moger, Tukaram, 2019. "Improved SuDoKu reconfiguration technique for total-cross-tied PV array to enhance maximum power under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 333-348.
    2. Li, Zhaomeng & Ji, Jie & Yuan, Weiqi & Song, Zhiying & Ren, Xiao & Uddin, Md Muin & Luo, Kun & Zhao, Xudong, 2020. "Experimental and numerical investigations on the performance of a G-PV/T system comparing with A-PV/T system," Energy, Elsevier, vol. 194(C).
    3. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Mohammed, Mohd Fayzul & Ramli, Makbul A.M., 2020. "Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq," Energy, Elsevier, vol. 191(C).
    4. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    5. Martinopoulos, Georgios, 2020. "Are rooftop photovoltaic systems a sustainable solution for Europe? A life cycle impact assessment and cost analysis," Applied Energy, Elsevier, vol. 257(C).
    6. Dhimish, Mahmoud & Badran, Ghadeer, 2020. "Current limiter circuit to avoid photovoltaic mismatch conditions including hot-spots and shading," Renewable Energy, Elsevier, vol. 145(C), pages 2201-2216.
    7. Ravyts, Simon & Vecchia, Mauricio Dalla & Van den Broeck, Giel & Yordanov, Georgi H. & Gonçalves, Juliana Emanuella & Moschner, Jens D. & Saelens, Dirk & Driesen, Johan, 2020. "Embedded BIPV module-level DC/DC converters: Classification of optimal ratings," Renewable Energy, Elsevier, vol. 146(C), pages 880-889.
    8. Ahmad, Riaz & Murtaza, Ali F. & Sher, Hadeed Ahmed, 2019. "Power tracking techniques for efficient operation of photovoltaic array in solar applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 82-102.
    9. Agathokleous, Rafaela A. & Kalogirou, Soteris A., 2020. "Status, barriers and perspectives of building integrated photovoltaic systems," Energy, Elsevier, vol. 191(C).
    10. Pal, Rudra Sankar & Mukherjee, V., 2020. "Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition," Energy, Elsevier, vol. 212(C).
    11. Zhang, Xiaoshun & Li, Shengnan & He, Tingyi & Yang, Bo & Yu, Tao & Li, Haofei & Jiang, Lin & Sun, Liming, 2019. "Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition," Energy, Elsevier, vol. 174(C), pages 1079-1090.
    12. Vezin, T. & Meunier, S. & Quéval, L. & Cherni, J.A. & Vido, L. & Darga, A. & Dessante, P. & Kitanidis, P.K. & Marchand, C., 2020. "Borehole water level model for photovoltaic water pumping systems," Applied Energy, Elsevier, vol. 258(C).
    13. Efrain Mendez & Alexandro Ortiz & Pedro Ponce & Israel Macias & David Balderas & Arturo Molina, 2020. "Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm," Energies, MDPI, vol. 13(12), pages 1-24, June.
    14. Refaat, Ahmed & Osman, Mohamed Hassan & Korovkin, Nikolay V., 2020. "Current collector optimizer topology to extract maximum power from non-uniform aged PV array," Energy, Elsevier, vol. 195(C).
    15. Fathabadi, Hassan, 2020. "Novel stand-alone, completely autonomous and renewable energy based charging station for charging plug-in hybrid electric vehicles (PHEVs)," Applied Energy, Elsevier, vol. 260(C).
    16. Teo, J.C. & Tan, Rodney H.G. & Mok, V.H. & Ramachandaramurthy, Vigna K. & Tan, ChiaKwang, 2020. "Impact of bypass diode forward voltage on maximum power of a photovoltaic system under partial shading conditions," Energy, Elsevier, vol. 191(C).
    17. Lappalainen, Kari & Valkealahti, Seppo, 2020. "Number of maximum power points in photovoltaic arrays during partial shading events by clouds," Renewable Energy, Elsevier, vol. 152(C), pages 812-822.
    18. Ahmed, Jubaer & Salam, Zainal, 2014. "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Applied Energy, Elsevier, vol. 119(C), pages 118-130.
    19. Humada, Ali M. & Hojabri, Mojgan & Mekhilef, Saad & Hamada, Hussein M., 2016. "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 494-509.
    20. Adeel Feroz Mirza & Majad Mansoor & Qiang Ling & Muhammad Imran Khan & Omar M. Aldossary, 2020. "Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller," Energies, MDPI, vol. 13(16), pages 1-25, August.
    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. Lappalainen, Kari & Valkealahti, Seppo, 2021. "Experimental study of the maximum power point characteristics of partially shaded photovoltaic strings," Applied Energy, Elsevier, vol. 301(C).
    2. Yin, WanJun & Ming, ZhengFeng & Wen, Tao, 2021. "Scheduling strategy of electric vehicle charging considering different requirements of grid and users," Energy, Elsevier, vol. 232(C).
    3. Tabassum Kanwal & Saif Ur Rehman & Tariq Ali & Khalid Mahmood & Santos Gracia Villar & Luis Alonso Dzul Lopez & Imran Ashraf, 2023. "An Intelligent Dual-Axis Solar Tracking System for Remote Weather Monitoring in the Agricultural Field," Agriculture, MDPI, vol. 13(8), pages 1-19, August.
    4. 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).

    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. Ehtisham Lodhi & Fei-Yue Wang & Gang Xiong & Ghulam Ali Mallah & Muhammad Yaqoob Javed & Tariku Sinshaw Tamir & David Wenzhong Gao, 2021. "A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems," Sustainability, MDPI, vol. 13(19), pages 1-27, September.
    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. Yin, Rumeng & He, Jiang, 2023. "Design of a photovoltaic electric bike battery-sharing system in public transit stations," Applied Energy, Elsevier, vol. 332(C).
    4. Hou, Guolian & Ke, Yin & Huang, Congzhi, 2021. "A flexible constant power generation scheme for photovoltaic system by error-based active disturbance rejection control and perturb & observe," Energy, Elsevier, vol. 237(C).
    5. Pillai, Dhanup S. & Rajasekar, N., 2018. "Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3503-3525.
    6. Rezk, Hegazy & Fathy, Ahmed & Abdelaziz, Almoataz Y., 2017. "A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 377-386.
    7. Khaled Osmani & Ahmad Haddad & Mohammad Alkhedher & Thierry Lemenand & Bruno Castanier & Mohamad Ramadan, 2023. "A Novel MPPT-Based Lithium-Ion Battery Solar Charger for Operation under Fluctuating Irradiance Conditions," Sustainability, MDPI, vol. 15(12), pages 1-31, June.
    8. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
    9. Pei Ye, Song & Hua Liu, Yi & Chung Wang, Shun & Yu Pai, Hung, 2022. "A novel global maximum power point tracking algorithm based on Nelder-Mead simplex technique for complex partial shading conditions," Applied Energy, Elsevier, vol. 321(C).
    10. Dilip Kumar & Yogesh Kumar Chauhan & Ajay Shekhar Pandey & Ankit Kumar Srivastava & Varun Kumar & Faisal Alsaif & Rajvikram Madurai Elavarasan & Md Rabiul Islam & Raju Kannadasan & Mohammed H. Alshari, 2023. "A Novel Hybrid MPPT Approach for Solar PV Systems Using Particle-Swarm-Optimization-Trained Machine Learning and Flying Squirrel Search Optimization," Sustainability, MDPI, vol. 15(6), pages 1-29, March.
    11. Zhang, Xiaoshun & Meng, Die & Cai, Jiahui & Zhang, Guiyuan & Yu, Tao & Pan, Feng & Yang, Yuyao, 2023. "A swarm based double Q-learning for optimal PV array reconfiguration with a coordinated control of hydrogen energy storage system," Energy, Elsevier, vol. 266(C).
    12. Amjad Ali & K. Almutairi & Muhammad Zeeshan Malik & Kashif Irshad & Vineet Tirth & Salem Algarni & Md. Hasan Zahir & Saiful Islam & Md Shafiullah & Neeraj Kumar Shukla, 2020. "Review of Online and Soft Computing Maximum Power Point Tracking Techniques under Non-Uniform Solar Irradiation Conditions," Energies, MDPI, vol. 13(12), pages 1-37, June.
    13. Mehedi, I.M. & Salam, Z. & Ramli, M.Z. & Chin, V.J. & Bassi, H. & Rawa, M.J.H. & Abdullah, M.P., 2021. "Critical evaluation and review of partial shading mitigation methods for grid-connected PV system using hardware solutions: The module-level and array-level approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    14. Tabassum Kanwal & Saif Ur Rehman & Tariq Ali & Khalid Mahmood & Santos Gracia Villar & Luis Alonso Dzul Lopez & Imran Ashraf, 2023. "An Intelligent Dual-Axis Solar Tracking System for Remote Weather Monitoring in the Agricultural Field," Agriculture, MDPI, vol. 13(8), pages 1-19, August.
    15. Lee, Chung Geun & Shin, Woo Gyun & Lim, Jong Rok & Kang, Gi Hwan & Ju, Young Chul & Hwang, Hye Mi & Chang, Hyo Sik & Ko, Suk Whan, 2021. "Analysis of electrical and thermal characteristics of PV array under mismatching conditions caused by partial shading and short circuit failure of bypass diodes," Energy, Elsevier, vol. 218(C).
    16. Li, Qingxiang & Zhu, Li & Sun, Yong & Lu, Lin & Yang, Yang, 2020. "Performance prediction of Building Integrated Photovoltaics under no-shading, shading and masking conditions using a multi-physics model," Energy, Elsevier, vol. 213(C).
    17. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    18. Nihat Pamuk, 2023. "Performance Analysis of Different Optimization Algorithms for MPPT Control Techniques under Complex Partial Shading Conditions in PV Systems," Energies, MDPI, vol. 16(8), pages 1-25, April.
    19. Adeel Feroz Mirza & Majad Mansoor & Qiang Ling & Muhammad Imran Khan & Omar M. Aldossary, 2020. "Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller," Energies, MDPI, vol. 13(16), pages 1-25, August.
    20. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).

    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:228:y:2021:i:c:s0360544221008513. 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.