IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3164-d802719.html
   My bibliography  Save this article

A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions

Author

Listed:
  • Abhishek Sharma

    (Department of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel
    Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Abhinav Sharma

    (Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Vibhu Jately

    (Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Moshe Averbukh

    (Department of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel)

  • Shailendra Rajput

    (Department of Electrical and Electronics Engineering, Ariel University, Ariel 40700, Israel
    Department of Physics, University Centre for Research and Development, Chandigarh University, Mohali 140431, India)

  • Brian Azzopardi

    (MCAST Energy Research Group (MCAST Energy), Institute of Engineering and Transport, Malta College of Arts, Science and Technology (MCAST), Triq Kordin, PLA 9032 Paola, Malta)

Abstract

In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial shading conditions (PSCs). The performance of the proposed algorithm was enhanced by incorporating the PSO algorithm, which improves the exploitation capability of TSA. The response of the proposed TSA-PSO-based MPPT was investigated by performing a detailed comparative study with other recently published MPPT algorithms, such as tunicate swarm algorithm (TSA), particle swarm optimization (PSO), grey wolf optimization (GWO), flower pollination algorithm (FPA), and perturb and observe (P&O). A quantitative and qualitative analysis was carried out based on three distinct partial shading conditions. It was observed that the proposed TSA-PSO technique had remarkable success in locating the maximum power point and had quick convergence at the global maximum power point. The presented TSA-PSO MPPT algorithm achieved a PV tracking efficiency of 97.64%. Furthermore, two nonparametric tests, Friedman ranking and Wilcoxon rank-sum, were also employed to validate the effectiveness of the proposed TSA-PSO MPPT method.

Suggested Citation

  • Abhishek Sharma & Abhinav Sharma & Vibhu Jately & Moshe Averbukh & Shailendra Rajput & Brian Azzopardi, 2022. "A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions," Energies, MDPI, vol. 15(9), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3164-:d:802719
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3164/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/9/3164/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mahsa Z. Farahmand & M. E. Nazari & S. Shamlou & Miadreza Shafie-khah, 2021. "The Simultaneous Impacts of Seasonal Weather and Solar Conditions on PV Panels Electrical Characteristics," Energies, MDPI, vol. 14(4), pages 1-19, February.
    2. Yao, Xing & Yi, Bowen & Yu, Yang & Fan, Ying & Zhu, Lei, 2020. "Economic analysis of grid integration of variable solar and wind power with conventional power system," Applied Energy, Elsevier, vol. 264(C).
    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. Amit Kumar Sharma & Rupendra Kumar Pachauri & Sushabhan Choudhury & Ahmad Faiz Minai & Majed A. Alotaibi & Hasmat Malik & Fausto Pedro García Márquez, 2023. "Role of Metaheuristic Approaches for Implementation of Integrated MPPT-PV Systems: A Comprehensive Study," Mathematics, MDPI, vol. 11(2), pages 1-48, January.
    2. Sy Ngo & Chian-Song Chiu & Thanh-Dong Ngo, 2022. "A Novel Horse Racing Algorithm Based MPPT Control for Standalone PV Power Systems," Energies, MDPI, vol. 15(20), pages 1-18, October.
    3. Ahmed G. Abo-Khalil & Ibrahim I. El-Sharkawy & Ali Radwan & Saim Memon, 2023. "Influence of a Hybrid MPPT Technique, SA-P&O, on PV System Performance under Partial Shading Conditions," Energies, MDPI, vol. 16(2), pages 1-17, January.
    4. Miao Zhang & Keyu Zhuang & Tong Zhao & Xianli Chen & Jingze Xue & Zheng Qiao & Shuai Cui & Yunlong Gao, 2022. "Bus Voltage Control of Photovoltaic Grid Connected Inverter Based on Adaptive Linear Active Disturbance Rejection," Energies, MDPI, vol. 15(15), pages 1-20, July.
    5. Hsen Abidi & Lilia Sidhom & Ines Chihi, 2023. "Systematic Literature Review and Benchmarking for Photovoltaic MPPT Techniques," Energies, MDPI, vol. 16(8), pages 1-45, April.
    6. Muhammad Mateen Afzal Awan & Aamer Bilal Asghar & Muhammad Yaqoob Javed & Zsolt Conka, 2023. "Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    7. 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. Emblemsvåg, Jan, 2022. "Wind energy is not sustainable when balanced by fossil energy," Applied Energy, Elsevier, vol. 305(C).
    2. Deng, Xu & Lv, Tao & Meng, Xiangyun & Li, Cong & Hou, Xiaoran & Xu, Jie & Wang, Yinhao & Liu, Feng, 2024. "Assessing the carbon emission reduction effect of flexibility option for integrating variable renewable energy," Energy Economics, Elsevier, vol. 132(C).
    3. Ahmad M. Abubaker & Adnan Darwish Ahmad & Binit B. Singh & Yaman M. Manaserh & Loiy Al-Ghussain & Nelson K. Akafuah & Kozo Saito, 2024. "Energy and Environmental Analyses of a Solar–Gas Turbine Combined Cycle with Inlet Air Cooling," Sustainability, MDPI, vol. 16(14), pages 1-31, July.
    4. Cao, K.H. & Qi, H.S. & Tsai, C.H. & Woo, C.K. & Zarnikau, J., 2021. "Energy trading efficiency in the US Midcontinent electricity markets," Applied Energy, Elsevier, vol. 302(C).
    5. Wang, Ge & Zhang, Qi & Su, Bin & Shen, Bo & Li, Yan & Li, Zhengjun, 2021. "Coordination of tradable carbon emission permits market and renewable electricity certificates market in China," Energy Economics, Elsevier, vol. 93(C).
    6. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    7. Arup Das & Subhojit Dawn & Sadhan Gope & Taha Selim Ustun, 2022. "A Strategy for System Risk Mitigation Using FACTS Devices in a Wind Incorporated Competitive Power System," Sustainability, MDPI, vol. 14(13), pages 1-21, July.
    8. Siripha Junlakarn & Radhanon Diewvilai & Kulyos Audomvongseree, 2022. "Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation," Energies, MDPI, vol. 15(14), pages 1-27, July.
    9. Tong Liu & Li Liu & Yufang He & Mengfei Sun & Jian Liu & Guochang Xu, 2021. "A Theoretical Optimum Tilt Angle Model for Solar Collectors from Keplerian Orbit," Energies, MDPI, vol. 14(15), pages 1-17, July.
    10. Ganesh Sampatrao Patil & Anwar Mulla & Subhojit Dawn & Taha Selim Ustun, 2022. "Profit Maximization with Imbalance Cost Improvement by Solar PV-Battery Hybrid System in Deregulated Power Market," Energies, MDPI, vol. 15(14), pages 1-21, July.
    11. Yuwei Zhang & Wenying Liu & Yue Huan & Qiang Zhou & Ningbo Wang, 2020. "An Optimal Day-Ahead Thermal Generation Scheduling Method to Enhance Total Transfer Capability for the Sending-Side System with Large-Scale Wind Power Integration," Energies, MDPI, vol. 13(9), pages 1-19, May.
    12. Qi, Yuchen & Hu, Wei & Dong, Yu & Fan, Yue & Dong, Ling & Xiao, Ming, 2020. "Optimal configuration of concentrating solar power in multienergy power systems with an improved variational autoencoder," Applied Energy, Elsevier, vol. 274(C).
    13. Adnan Aslam & Naseer Ahmed & Safian Ahmed Qureshi & Mohsen Assadi & Naveed Ahmed, 2022. "Advances in Solar PV Systems; A Comprehensive Review of PV Performance, Influencing Factors, and Mitigation Techniques," Energies, MDPI, vol. 15(20), pages 1-52, October.
    14. Antonia Sônia A. C. Diniz & Tulio P. Duarte & Suellen A. C. Costa & Daniel Sena Braga & Vinicius Camatta Santana & Lawrence L. Kazmerski, 2022. "Soiling Spectral and Module Temperature Effects: Comparisons of Competing Operating Parameters for Four Commercial PV Module Technologies," Energies, MDPI, vol. 15(15), pages 1-18, July.
    15. Feng Liu & Yihang Wei & Yu Du & Tao Lv, 2022. "Mechanism and Influencing Factors of Low-Carbon Coal Power Transition under China’s Carbon Trading Scheme: An Evolutionary Game Analysis," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    16. Alexandro Gomes & Maria Francisca do Nascimento Oliveira & Marcelo Musci, 2023. "Optimal Tilt Angle of Photovoltaic Panels: A Case Study in the City of Rio de Janeiro," Environmental Management and Sustainable Development, Macrothink Institute, vol. 12(2), pages 54-66, December.
    17. Zhao, Ning & Yan, Suying & Zhang, Na & Zhao, Xiaoyan, 2022. "Impacts of seasonal dust accumulation on a point-focused Fresnel high-concentration photovoltaic/thermal system," Renewable Energy, Elsevier, vol. 191(C), pages 732-746.
    18. Neetzow, Paul, 2021. "The effects of power system flexibility on the efficient transition to renewable generation," Applied Energy, Elsevier, vol. 283(C).
    19. Wang, Lei & He, Yigang, 2022. "M2STAN: Multi-modal multi-task spatiotemporal attention network for multi-location ultra-short-term wind power multi-step predictions," Applied Energy, Elsevier, vol. 324(C).
    20. Tadeusz Dziubak, 2021. "Experimental Studies of Dust Suction Irregularity from Multi-Cyclone Dust Collector of Two-Stage Air Filter," Energies, MDPI, vol. 14(12), pages 1-28, June.

    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:jeners:v:15:y:2022:i:9:p:3164-:d:802719. 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.