42
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Design and operational control methodology for large-scale photovoltaic system in green port application

, , , , &
Received 23 Sep 2023, Accepted 27 Apr 2024, Published online: 07 May 2024

References

  • Abidi, H., L. Sidhom, and I. Chihi. 2023. Systematic literature review and benchmarking for photovoltaic MPPT techniques. Energies 16 (8):3509. doi:10.3390/en16083509.
  • Agga, A., A. Abbou, M. Labbadi, Y. El Houm, and I. H. O. Ali. 2022. CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production. Electric Power Systems Research 208:107908. doi:10.1016/j.epsr.2022.107908.
  • Agostinelli, S., M. Neshat, M. M. Nezhad, G. Piras, and D. A. Garcia. 2022. Integrating renewable energy sources in Italian port areas towards renewable energy communities. Sustainability 14 (21):13720. doi:10.3390/su142113720.
  • Ahmed, F. F., C. Ghenai, and M. Bettayeb. 2021. Maximum power point tracking and photovoltaic energy harvesting for internet of things: A comprehensive review. Sustainable Energy Technologies and Assessments 47:101430. doi:10.1016/j.seta.2021.101430.
  • Ahmed, S., S. Mekhilef, M. B. Mubin, and K. S. Tey. 2022. Performances of the adaptive conventional maximum power point tracking algorithms for solar photovoltaic system. Sustainable Energy Technologies and Assessments 53:102390. doi:10.1016/j.seta.2022.102390.
  • An, Q., R. L. Tang, H. F. Su, J. Zhang, and X. Li. 2021. Robust configuration and intelligent MPPT control for building integrated photovoltaic system based on extreme learning machine. Journal of Intelligent & Fuzzy Systems 40 (6):12283–300. doi:10.3233/JIFS-210424.
  • Aslam, M. S., P. Tiwari, H. M. Pandey, and S. S. Band. 2023. Observer-based control for a new stochastic maximum power point tracking for photovoltaic systems with networked control system. IEEE Transactions on Fuzzy Systems 31 (6):1870–84. doi:10.1109/TFUZZ.2022.3215797.
  • Balato, M., L. Costanzo, and M. Vitelli. 2015. Series-parallel PV array re-configuration: Maximization of the extraction of the energy and much more. Applied Energy 159:145–60. doi:10.1016/j.apenergy.2015.08.073.
  • Basoglu, M. E. 2022. Comprehensive review on distributed maximum power point tracking: Submodule level and module level MPPT strategies. Solar Energy 241:85–108. doi:10.1016/j.solener.2022.05.039.
  • Bosco, M. J., and M. C. Mabel. 2017. A novel cross diagonal view configuration of a PV system under partial shading condition. Solar Energy 158:760–73. doi:10.1016/j.solener.2017.10.047.
  • Cabrera-Tobar, A., E. Bullich-Massague, M. Aragues-Penalba, and O. Gomis-Bellmunt. 2016. Topologies for large scale photovoltaic power plants. Renewable and Sustainable Energy Reviews 59:309–19. doi:10.1016/j.rser.2015.12.362.
  • Cao, W. P., X. Z. Wang, Z. Ming, and J. Z. Gao. 2018. A review on neural networks with random weights. Neurocomputing 275:278–87. doi:10.1016/j.neucom.2017.08.040.
  • Costa, R. L. D. 2022. Convolutional-LSTM networks and generalization in forecasting of household photovoltaic generation. Engineering Applications of Artificial Intelligence 116:105458. doi:10.1016/j.engappai.2022.105458.
  • Dagal, I., B. Akin, and E. Akboy. 2022. Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems. International Journal of Energy Research 46 (7):8742–59. doi:10.1002/er.7753.
  • Devarakonda, A. K., N. Karuppiah, T. Selvaraj, P. K. Balachandran, R. Shanmugasundaram, and T. Senjyu. 2022. A comparative analysis of maximum power point techniques for solar photovoltaic systems. Energies 15 (22):8776. doi:10.3390/en15228776.
  • Eltawil, M. A., and Z. M. Zhao. 2013. MPPT techniques for photovoltaic applications. Renewable & Sustainable Energy Reviews 25:793–813. doi:10.1016/j.rser.2013.05.022.
  • Fang, X. L., Q. Yang, and W. J. Yan. 2022. Power generation maximization of distributed photovoltaic systems using dynamic topology reconfiguration. Protection and Control of Modern Power Systems 7 (1):35. doi:10.1186/s41601-022-00254-x.
  • Ghosh, S., V. K. Yadav, and V. Mukherjee. 2018. Evaluation of cumulative impact of partial shading and aerosols on different PV array topologies through combined Shannon’s entropy and DEA. Energy 144:765–75. doi:10.1016/j.energy.2017.12.040.
  • Han, H. L., X. Dong, H. W. Lai, H. Yan, K. Zhang, J. F. Liu, P. J. Verlinden, Z. C. Liang, and H. Shen. 2018. Analysis of the degradation of monocrystalline silicon photovoltaic modules after long-term exposure for 18 years in a hot-humid climate in China. IEEE Journal of Photovoltaics 8 (3):806–12. doi:10.1109/JPHOTOV.2018.2819803.
  • Jalali, S. M. J., S. Ahmadian, A. Kavousi-Fard, A. Khosravi, and S. Nahavandi. 2022. Automated deep CNN-LSTM architecture design for solar irradiance forecasting. IEEE Transactions on Systems Man Cybernetics-Systems 52 (1):54–65. doi:10.1109/TSMC.2021.3093519.
  • Khan, M. J., and L. Mathew. 2021. Artificial neural network-based maximum power point tracking controller for real-time hybrid renewable energy system. Soft Computing 25 (8):6557–75. doi:10.1007/s00500-021-05653-0.
  • Ma, Z. F., H. Zhang, and J. Liu. 2023. MM-RNN: A multimodal RNN for precipitation nowcasting. IEEE Transactions on Geoscience and Remote Sensing 61:4101914. doi:10.1109/TGRS.2023.3264545.
  • Macia, Y. M., P. R. Machuca, A. A. R. Soto, and R. C. Campos. 2021. Green hydrogen value chain in the sustainability for port operations: Case study in the region of Valparaiso, Chile. Sustainability 13 (24):13681. doi:10.3390/su132413681.
  • Mao, M. X., X. Y. Feng, J. H. Xin, and T. W. S. Chow. 2023. A convolutional neural network-based maximum power point voltage forecasting method for pavement PV array. IEEE Transactions on Instrumentation and Measurement 72:2503109. doi:10.1109/TIM.2022.3227552.
  • Mishra, N., A. S. Yadav, R. Pachauri, Y. K. Chauhan, and V. K. Yadav. 2017. Performance enhancement of PV system using proposed array topologies under various shadow patterns. Solar Energy 157:641–56. doi:10.1016/j.solener.2017.08.021.
  • Mohammadnejad, S., A. Khalafi, and S. M. Ahmadi. 2016. Mathematical analysis of total-cross-tied photovoltaic array under partial shading condition and its comparison with other configurations. Solar Energy 133:501–11. doi:10.1016/j.solener.2016.03.058.
  • Pachauri, R. K., J. B. Bai, I. Kansal, O. P. Mahela, and B. Khan. 2021. Shade dispersion methodologies for performance improvement of classical total cross-tied photovoltaic array configuration under partial shading conditions. IET Renewable Power Generation 15 (8):1796–811. doi:10.1049/rpg2.12147.
  • Parhamfar, M., I. Sadeghkhani, and A. M. Adeli. 2023. Towards the application of renewable energy technologies in green ports: Technical and economic perspectives. IET Renewable Power Generation 17 (12):3120–32. doi:10.1049/rpg2.12811.
  • Parise, G., L. Parise, A. Malerba, F. M. Pepe, A. Honorati, and P. Ben Chavdarian. 2017. Comprehensive peak-shaving solutions for port cranes. IEEE Transactions on Industry Applications 53 (3):1799–806. doi:10.1109/TIA.2016.2645514.
  • Rostamian, A., and J. G. O’Hara. 2022. Event prediction within directional change framework using a CNN-LSTM model. Neural Computing & Applications 34 (20):17193–205. doi:10.1007/s00521-022-07687-3.
  • Saravanan, S., and N. R. Babu. 2016. Maximum power point tracking algorithms for photovoltaic system – a review. Renewable & Sustainable Energy Reviews 57:192–204. doi:10.1016/j.rser.2015.12.105
  • Sifakis, N., S. Konidakis, and T. Tsoutsos. 2021. Hybrid renewable energy system optimum design and smart dispatch for nearly zero energy ports. Journal of Cleaner Production 310:127397. doi:10.1016/j.jclepro.2021.127397.
  • Sifakis, N., E. Vichos, A. Smaragdakis, E. Zoulias, and T. Tsoutsos. 2022. Introducing the cold-ironing technique and a hydrogen-based hybrid renewable energy system into ports. International Journal of Energy Research 46 (14):20303–23. doi:10.1002/er.8059.
  • Soltani, R., E. Benmohamed, and H. Ltifi. 2023. Echo state network optimization: A systematic literature review. Neural Processing Letters 55 (8):10251–85. doi:10.1007/s11063-023-11326-w.
  • Su, J. H., Y. Shijie, and Z. Wei. 2001. Investigation on engineering analytical model of silicon solar cells. Acta Energiae Solaris Sinica 22:409–12.
  • Tang, R. L., X. Li, and J. G. Lai. 2018. A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization. Applied Energy 228:254–64. doi:10.1016/j.apenergy.2018.06.092.
  • Tang, R. L., Q. Lin, J. X. Zhou, S. Y. Zhang, J. A. Lai, X. Li, and Z. C. Dong. 2020. Suppression strategy of short-term and long-term environmental disturbances for maritime photovoltaic system. Applied Energy 259:114183. doi:10.1016/j.apenergy.2019.114183.
  • Tang, R. L., Z. Wu, and X. Li. 2018. Optimal operation of photovoltaic/battery/diesel/cold-ironing hybrid energy system for maritime application. Energy 162:697–714. doi:10.1016/j.energy.2018.08.048.
  • Vlahopoulos, D., and A. S. Bouhouras. 2022. Solution for RTG crane power supply with the use of a hybrid energy storage system based on literature review. Sustainable Energy Technologies and Assessments 52:102351. doi:10.1016/j.seta.2022.102351.
  • Worku, M. Y., M. A. Hassan, L. S. Maraaba, M. Shafiulah, M. R. Elkadeem, M. I. Hossain, and M. A. Abido. 2023. A comprehensive review of recent maximum power point tracking techniques for photovoltaic systems under partial shading. Sustainability 15 (14):11132. doi:10.3390/su151411132.
  • Wu, L. X., and S. A. Wang. 2020. The shore power deployment problem for maritime transportation. Transportation Research Part E-Logistics and Transportation Review 135:101883. doi:10.1016/j.tre.2020.101883.
  • Yin, W. W., S. L. Wu, X. Z. Zhao, C. C. Shu, Y. Xiao, G. Q. Ye, W. M. Shi, and X. H. Feng. 2022. Shore power management for green shipping under international river transportation. Maritime Policy & Management 49 (5):737–54. doi:10.1080/03088839.2021.1983219.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.