Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter

• Autorzy: Bettahar, Fares , Abdeddaim, Sabrina , Achour, Betka
• Języki publikacji: EN

Abstrakty

EN

The Improved Z-Source Inverter (IZSI) has gained attention in the photovoltaic industry for its ability to boost PV voltage with a singlestage topology, simplifying system design and reducing costs. However, research on integrating IZSI into PV systems, particularly regarding the Maximum Power Point Tracker (MPPT) and IZSI control strategy, is limited. This study proposes an Intelligent Improved Particle Swarm Optimization (IPSO) algorithm as an MPPT method for PV systems under constant and varying irradiance conditions. The IPSO algorithm is compared to the FPA, CSA, and traditional MPPT algorithm (PSO), and the results demonstrate that IPSO outperforms all algorithms in terms of speed, efficiency, and convergence in finding the Maximum Power Point (MPP). Two methods, Simple Boost Control (SBC) and Maximum Constant Boost Control with Third Harmonic Injection (THIMCBC), are employed to control IZSI. Simulation results using MATLAB-Simulink show that both strategies successfully find and track the MPP, but THIMCBC exhibits superior voltage-boosting performance compared to SBC. Overall, the proposed IZSI topology with the IPSO MPPT method and THIMCBC IZSI control strategy offers several advantages, including improved voltage boost ability, reduced z-source capacitor voltage stress, inherent inrush current limitation, and cost-effectiveness. These advantages make the proposed system a promising solution for photovoltaic systems.

Słowa kluczowe

EN

photovoltaic systems; improved ZSI; Improved Particle Swarm Optimization; IPSO; THIMCBC

• Czasopismo: Power Electronics and Drives
• Rocznik: 2024
• Tom: Vol. 9 (44)
• Strony: 1--20
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Bettahar, Fares

• LGEB, University of Mohamed Khidar, Biskra, Algeria,

autor

Abdeddaim, Sabrina

• LGEB, University of Mohamed Khidar, Biskra, Algeria

autor

Achour, Betka

• LGEB, University of Mohamed Khidar, Biskra, Algeria

Bibliografia

• Peng, B., Ho, K., and Liu, Y. (2018). A Novel and Fast MPPT Method Suitable for Both Fast Changing and Partially Shaded Conditions. IEEE Transactions on Industrial Electronics, 65, pp. 3240-3251.
• Jayaudhaya, J., Ramash Kumar, K., Tamil Selvi, V., & Padmavathi, N. (2022). Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm. Mathematical Problems in Engineering. doi: 10.1155/2022/5803771.
• Ali, A.I. and Mohamed, H.R. (2022). Improved P&O MPPT algorithm with efficient open-circuit voltage estimation for two-stage grid-integrated PV system under realistic solar radiation. International Journal of Electrical Power & Energy Systems. doi: 10.1016/j.ijepes.2021.107805.
• Anto, E.K., Okyere, P.Y., & Asumadu, J.A. (2014). Critical voltage perturbation size for an open loop perturb and observe (P&O) maximum power point tracking (MPPT) grid-connected solar photovoltaic (PV) system. 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC), pp. 1912-1916.
• Balasubramanian, A.K., Ramachandran, S. and Shanmugavelu, S. (2022). Effectual GA Optimized PID Control Strategy based MPPT Controller for Extracting Maximum Power from Photo Voltaic system. Trends in Sciences, 19(9), 3969. doi: 10.48048/tis.2022.3969.
• Mahapatra, S and Sah, C.K. (2021). Novel Hybrid GWO–IC Based MPPT Technique for PV System under Partial Shading Conditions. Proceedings of the ISES Solar World Congress 2021. doi :10.1038/s41598-022-14733-6.
• Tey, K.S., Mekhilef, S. and Seyedmahmoudian, M. (2018). Implementation of BAT Algorithm as Maximum Power Point Tracking Technique for Photovoltaic System under Partial Shading Conditions. 2018 IEEE Energy Conversion Congress and Exposition (ECCE), pp. 2531-2535.
• Chauhan, U., Chhabra, H., Rani, A., Kumar, B. and Singh, V. (2022). Efficient MPPT Controller for Solar PV System Using GWO-CS Optimized Fuzzy Logic Control and Conventional Incremental Conductance Technique. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, pp. 463-472.
• Luthfansyah, M., Suyanto, S. and Bangura, A.B. (2020). Evaluation and Comparison of DC-DC Power Converter Variations in Solar Panel Systems Using Maximum Power Point Tracking (MPPT) Flower Pollination Algorithm (FPA) Control. E3S Web of Conferences. doi :10.1051/e3sconf/202019000026.
• Hanafiah, S., Ayad, A., Hehn, A. and Kennel, R. (2017). A hybrid MPPT for quasi-Z-source inverters in PV applications under partial shading condition. 2017 11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). pp. 418-423, doi: 10.1109/CPE.2017.7915208.
• Subhani, N., Kannan, R., Mahmud, A. and Blaabjerg, F. (2021). Z-source inverter topologies with switched Z-impedance networks: A review. IET Power Electronics. pp. 727-750. doi:10.1049/pel2.12064.
• Jamal I., Elmorshedy M. F., S. M. Dabour, E. M. Rashad, W. Xu and D. J. Almakhles. (2022). A Comprehensive Review of Grid-Connected PV Systems Based on Impedance Source Inverter. In IEEE Access, pp. 89101-89123, doi: 10.1109/ACCESS.2022.3200681.
• Amudhavalli, D. and Narendran, L. (2012). Speed control of an induction motor by V/F method using an improved Z source inverter. 2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), pp. 436-440. doi: 10.1109/ICETEEEM.2012.6494486.
• Jamal, I., Elmorshedy, M.F., Dabour, S.M., Rashad, E.E., Xu, W. and Almakhles, D.J. (2022). A Comprehensive Review of Grid-Connected PV Systems Based on Impedance Source Inverter. IEEE Access, pp. 89101-89123.
• Hayder, W., Ogliari, E.G., Dolara, A., Abid, A., Ben Hamed, M. and Sbita, L. (2020). Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions. Energies, 13(8). doi :10.3390/en13082035.
• Ibtissam, C., Madjid, B.E. and Paul, G.J. (2018). Study of Fuzzy Logic controller based MPPT and the P&O for the Z-source inverter integrated in PV system. 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), pp. 1-6.
• Jagan, V. and Das, S. (2015). High boosting type Z-source inverter improved Z-source inverter for solar photovoltaic system. 2015 Annual IEEE India Conference (INDICON), pp.1-6.
• Yu, K., Luo, F.L., and Zhu, M. (2010). Study of an improved Z-source inverter: Small signal analysis. 2010 5th IEEE Conference on Industrial Electronics and Applications, pp. 2169-2174.
• Tang, Y., Xie, S., & Zhang, C. (2011). An Improved Z-Source Inverter. IEEE Transactions on Power Electronics, pp. TPEL.2009.2039953. 3865-3868. doi:10.1109/
• Pavani, B., Venkatesh, K., & Sekhar, P.C. (2017). An Improved Z-Source Inverter for Reduction in Inrush Current and Stress on Capacitor. SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE). 4(7). pp. 27-30. doi: 10.14445/23488379/IJEEE-V4I7P106.
• Mosaad, M.I., abed el-Raouf, M., AL-AHMAR, M.A., and Banakher, F.A. (2019). Maximum Power Point Tracking of PV system Based Cuckoo Search Algorithm; review and comparison. Energy Procedia. pp. 117-126. doi:10.1016/j.egypro.2019.04.013.
• Abo-Elyousr, F.K., Abdelshafy, A.M. and Abdelaziz, A.Y. (2019). MPPT-Based Particle Swarm and Cuckoo Search Algorithms for PV Systems. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. doi: 10.1007/978-3030-05578-3_14.
• Jayaudhaya, J., Ramash Kumar, K., Tamil Selvi, V. and Padmavathi, N. (2022). Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm. Mathematical Problems in Engineering. doi:10.1155/2022/5803771.
• Shang, L., Zhu, W., Li, P. and Guo, H. (2018). Maximum power point tracking of PV system under partial shading conditions through flower pollination algorithm. Protection and Control of Modern Power Systems, pp. 1-7.
• Pei, T., Hao, X., & Gu, Q.J. (2018). A Novel Global Maximum Power Point Tracking Strategy 20 Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions. Energies. 11(10). doi:10.3390/en11102708.
• Rezk, H., Fathy, A., & Abdelaziz, A.Y. (2017). A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions. Renewable & Sustainable Energy Reviews, pp. 377-386.
• Yang, Z., Duan, Q., Zhong, J., Mao, M and Xun, Z. (2017). Analysis of improved PSO and perturb & observe global MPPT algorithm for PV array under partial shading condition. 2017 29th Chinese Control and Decision Conference (CCDC), pp. 549-553.
• Suganthi, J., & Rajaram, M. (2015). Effective analysis and comparison of Impedance Source Inverter topologies with different control strategies for Power Conditioning System. Renewable & Sustainable Energy Reviews, pp. 821-829.
• Khajesalehi, J., Sheshyekani, K., Hamzeh, M and Afjei, E. (2016). Maximum constant boost approach for controlling quasi-Z-source-based interlinking converters in hybrid AC–DC microgrids. IET Generation Transmission & Distribution, 10(4), pp. 938-948.
• Zhao, Z., Elgendy, M.A., Armstrong, M. and Muhammad, M. (2019). Constant Boost Control with Third Harmonic Injection for Quasi-Z Source Inverter used in PV Grid-connected System. 2019 21st European Conference on Power Electronics and Applications (EPE ‘19 ECCE Europe), doi: 10.23919/EPE.2019.8915379.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).

Identyfikatory

DOI

10.2478/pead-2024-0001