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Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm

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  • Bakhshi, Reza
  • Sadeh, Javad
  • Mosaddegh, Hamid-Reza

Abstract

Nowadays installed power capacity of grid-connected photovoltaic (GCPV) systems has an exponential increase around the world. Since these systems are more expensive than other conventional electricity resources, optimal economic designing is much necessary. In this paper, a new intelligent-based approach is proposed to design GCPV systems using Genetic Algorithm (GA). By defining the net present value (NPV) of system as the objective function and considering electrical constraints, the optimal value for sizing factor and also system configuration are determined. In order to calculate the annual produced energy of system with high accuracy, the accurate efficiency model and power equations are used for inverter and PV module, respectively. Also, five-parameter, i.e. linear and five-point, i.e. nonlinear, models of PV module are used to evaluate the behavior of PV array in different temperature and solar radiation conditions. This approach is presented for GCPV systems in all sizes including two or more inverters even with different topologies. The proposed method is applied for designing of a power plant system with multiple inverters.

Suggested Citation

  • Bakhshi, Reza & Sadeh, Javad & Mosaddegh, Hamid-Reza, 2014. "Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm," Renewable Energy, Elsevier, vol. 72(C), pages 386-394.
    • Handle: RePEc:eee:renene:v:72:y:2014:i:c:p:386-394
    DOI: 10.1016/j.renene.2014.07.035
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    Citations

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    Cited by:

    1. Avi Aronescu & Joseph Appelbaum, 2023. "The Effect of Collector Azimuth on Inter-Row Shading in Photovoltaic Fields—A Comprehensive Point of View," Energies, MDPI, vol. 16(13), pages 1-15, June.
    2. Yang, Lian & Tai, Nengling & Fan, Chunju & Meng, Yuanye, 2016. "Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid," Renewable Energy, Elsevier, vol. 95(C), pages 202-212.
    3. 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).
    4. Wang, H.X. & Muñoz-García, M.A. & Moreda, G.P. & Alonso-García, M.C., 2018. "Optimum inverter sizing of grid-connected photovoltaic systems based on energetic and economic considerations," Renewable Energy, Elsevier, vol. 118(C), pages 709-717.
    5. Aronescu, A. & Appelbaum, J., 2017. "Design optimization of photovoltaic solar fields-insight and methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 882-893.
    6. Appelbaum, Joseph & Aronescu, Avi, 2022. "Inter-row spacing calculation in photovoltaic fields - A new approach," Renewable Energy, Elsevier, vol. 200(C), pages 387-394.
    7. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    8. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    9. Naderipour, Amirreza & Kamyab, Hesam & Klemeš, Jiří Jaromír & Ebrahimi, Reza & Chelliapan, Shreeshivadasan & Nowdeh, Saber Arabi & Abdullah, Aldrin & Hedayati Marzbali, Massoomeh, 2022. "Optimal design of hybrid grid-connected photovoltaic/wind/battery sustainable energy system improving reliability, cost and emission," Energy, Elsevier, vol. 257(C).
    10. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    11. Mayer, Martin János, 2022. "Impact of the tilt angle, inverter sizing factor and row spacing on the photovoltaic power forecast accuracy," Applied Energy, Elsevier, vol. 323(C).
    12. Báez-Fernández, Héctor & Ramírez-Beltrán, Nazario D. & Méndez-Piñero, Mayra Ivelisse, 2016. "Selection and configuration of inverters and modules for a photovoltaic system to minimize costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 16-22.
    13. Dong, Rentao & Xu, Jiuping & Lin, Bo, 2017. "ROI-based study on impact factors of distributed PV projects by LSSVM-PSO," Energy, Elsevier, vol. 124(C), pages 336-349.
    14. Lue Xiong & Mutasim Nour, 2019. "Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network," Energies, MDPI, vol. 12(16), pages 1-16, August.

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