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Innovative Hybrid War Strategy Optimization with Incremental Conductance for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

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Dec 21, 2024

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Abd, H. M., Abdo, E. A., Jasim, A. M. and Sabaawi, A. M. (2019). Incremental conductance algorithm optimization for a photovoltaic system with fast response under fast-varying of solar power. In: 2019 10th International Renewable Energy Congress (IREC). IEEE, pp. 1–6. doi: 10.1109/IREC.2019.8754600 AbdH. M. AbdoE. A. JasimA. M. SabaawiA. M. 2019 Incremental conductance algorithm optimization for a photovoltaic system with fast response under fast-varying of solar power In: 2019 10th International Renewable Energy Congress (IREC) IEEE 1 6 10.1109/IREC.2019.8754600 Open DOISearch in Google Scholar

Abo-Elyousr, F. K., Abdelshafy, A. M. and Abdelaziz, A. Y. (2020). MPPT-Based Particle Swarm and Cuckoo Search Algorithms for PV Systems. In: Eltamaly, A., Abdelaziz, A. (eds) Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems. pp. 379–400. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-05578-3_14 Abo-ElyousrF. K. AbdelshafyA. M. AbdelazizA. Y. 2020 MPPT-Based Particle Swarm and Cuckoo Search Algorithms for PV Systems In: EltamalyA. AbdelazizA. (eds) Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems 379 400 Green Energy and Technology. Springer Cham https://doi.org/10.1007/978-3-030-05578-3_14 Search in Google Scholar

Adel, E. S., Rami, J. H., Joseph, C., Austin M. and Aaron M. (2019). Solar-powered house system design. In: 2019 SoutheastCon, Huntsville, AL, 11–14 April 2019, New York: IEEE, pp. 1–4. doi: 10.1109/SoutheastCon42311.2019.9020465 AdelE. S. RamiJ. H. JosephC. AustinM. AaronM. 2019 Solar-powered house system design In: 2019 SoutheastCon Huntsville, AL 11–14 April 2019 New York IEEE 1 4 10.1109/SoutheastCon42311.2019.9020465 Open DOISearch in Google Scholar

Ahmed, G. G. (2022). Particle Swarm Optimization Algorithm and its Applications: A Systematic Review. Archives of Computational Methods in Engineering, 29, pp. 2531–2561. doi: 10.1007/s11831-021-09694-4 AhmedG. G. 2022 Particle Swarm Optimization Algorithm and its Applications: A Systematic Review Archives of Computational Methods in Engineering 29 2531 2561 10.1007/s11831-021-09694-4 Open DOISearch in Google Scholar

Al-Dhaifallah, M., Nassef, A. M., Rezk, H. and Nisar, K. S. (2018). Optimal Parameter Design of Fractional Order Control Based INC-MPPT for PV System. Solar Energy, 159, pp. 650–664. doi: 10.1016/j.solener.2017.11.040 Al-DhaifallahM. NassefA. M. RezkH. NisarK. S. 2018 Optimal Parameter Design of Fractional Order Control Based INC-MPPT for PV System Solar Energy 159 650 664 10.1016/j.solener.2017.11.040 Open DOISearch in Google Scholar

Alharthi, Y. Z., Najjar, N., Mechraoui, A., Moalla, M. and Mohammed, S. (2021). Design and simulation of PV grid-connected system considering sensitivity analysis. In: 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). IEEE, pp. 2363–2367. doi: 10.1109/PVSC43889.2021.9518476 AlharthiY. Z. NajjarN. MechraouiA. MoallaM. MohammedS. 2021 Design and simulation of PV grid-connected system considering sensitivity analysis In: 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC) IEEE 2363 2367 10.1109/PVSC43889.2021.9518476 Open DOISearch in Google Scholar

Ali, J. A., Ameer, K. Malik, R. Q., Talib, S. H., Mousa, M. I., & Kadhim, A. M. (2022). Review on MPPT techniques in solar system. In: 2022 8th International Engineering Conference on Sustainable Technology and Development (IEC), Erbil, Iraq, 23–24 February 2022, New York: IEEE, pp. 1–5. doi: 10.1109/IEC54822.2022.9807500 AliJ. A. AmeerK. MalikR. Q. TalibS. H. MousaM. I. KadhimA. M. 2022 Review on MPPT techniques in solar system In: 2022 8th International Engineering Conference on Sustainable Technology and Development (IEC) Erbil, Iraq 23–24 February 2022 New York IEEE 1 5 10.1109/IEC54822.2022.9807500 Open DOISearch in Google Scholar

Ayyarao, T. S., Ramakrishna, N. S. S., Elavarasan, R. M., Polumahanthi, N., Rambabu, M., Saini, G. and Alatas, B. (2022). War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization. IEEE Access, 10, pp. 25073–25105. doi: 10.1109/ACCESS.2022.3153493 AyyaraoT. S. RamakrishnaN. S. S. ElavarasanR. M. PolumahanthiN. RambabuM. SainiG. AlatasB. 2022 War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization IEEE Access 10 25073 25105 10.1109/ACCESS.2022.3153493 Open DOISearch in Google Scholar

Berttahar, F., Abdeddaim, S., Betka, A. and Omar, C. (2024). A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems. Power Electronics and Drives, 9(1), pp. 86–105. doi: 10.2478/pead-2024-0006 BerttaharF. AbdeddaimS. BetkaA. OmarC. 2024 A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems Power Electronics and Drives 9 1 86 105 10.2478/pead-2024-0006 Open DOISearch in Google Scholar

Brahmi, M., Regaya, C., Hichem, H. and Zaafouri, A. (2022). Comparative Study of P&O and PSO Particle Swarm Optimization MPPT Controllers Under Partial Shading. IJECE, 4, pp. 45–50. doi: 10.37394/232027.2022.4.7 BrahmiM. RegayaC. HichemH. ZaafouriA. 2022 Comparative Study of P&O and PSO Particle Swarm Optimization MPPT Controllers Under Partial Shading IJECE 4 45 50 10.37394/232027.2022.4.7 Open DOISearch in Google Scholar

Chennoufi, K., Ferfra, M. and Mokhlis, M. (2021). Design and implementation of efficient MPPT controllers based on SDM and DDM using backstepping control and SEPIC converter. In: 2021 9th International Renewable and Sustainable Energy Conference (IRSEC). IEEE, pp. 1–8. doi: 10.1109/IRSEC53969.2021.9741206 ChennoufiK. FerfraM. MokhlisM. 2021 Design and implementation of efficient MPPT controllers based on SDM and DDM using backstepping control and SEPIC converter In: 2021 9th International Renewable and Sustainable Energy Conference (IRSEC) IEEE 1 8 10.1109/IRSEC53969.2021.9741206 Open DOISearch in Google Scholar

Chrouta, J., Mbarki, B., Telmoudi, A. J. and Zaafouri, A. (2023, July). Intelligence artificial algorithm-based on sliding mode control MPPT for a photovoltaic system. In: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, pp. 2721–2728. doi: 10.1109/CoDIT58514.2023.10284174 ChroutaJ. MbarkiB. TelmoudiA. J. ZaafouriA. 2023 July Intelligence artificial algorithm-based on sliding mode control MPPT for a photovoltaic system In: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) IEEE 2721 2728 10.1109/CoDIT58514.2023.10284174 Open DOISearch in Google Scholar

De, M., Das, G. and Mandal, K. K. (2021). An Effective Energy Flow Management in Grid-Connected Solar–Wind-Microgrid System Incorporating Economic and Environmental Generation Scheduling Using A Meta-Dynamic Approach-Based Multiobjective Flower Pollination Algorithm. Energy Reports, 7, pp. 2711–2726. doi: 10.1016/j.egyr.2021.04.006 DeM. DasG. MandalK. K. 2021 An Effective Energy Flow Management in Grid-Connected Solar–Wind-Microgrid System Incorporating Economic and Environmental Generation Scheduling Using A Meta-Dynamic Approach-Based Multiobjective Flower Pollination Algorithm Energy Reports 7 2711 2726 10.1016/j.egyr.2021.04.006 Open DOISearch in Google Scholar

Drif, M., Bouchelaghem, A., Guemache, A., Benhamadouche, D. A. and Saigaa, D. A. (2024). A Novel Method to Obtain Reverse Bias I–V Curves for Single Cells Integrated in Photovoltaic Modules. Power Electronics and Drives, 9(44), pp. 412–427. doi: 10.2478/pead-2024-0027 DrifM. BouchelaghemA. GuemacheA. BenhamadoucheD. A. SaigaaD. A. 2024 A Novel Method to Obtain Reverse Bias I–V Curves for Single Cells Integrated in Photovoltaic Modules Power Electronics and Drives 9 44 412 427 10.2478/pead-2024-0027 Open DOISearch in Google Scholar

Eltamaly, A. M., Al-Saud, M. S. and Abo-Khalil, A. G. (2020). Performance Improvement of PV Systems’ Maximum Power Point Tracker Based on A Scanning PSO Particle Strategy. Sustainability, 12(3), p. 1185. doi: 10.3390/su12031185 EltamalyA. M. Al-SaudM. S. Abo-KhalilA. G. 2020 Performance Improvement of PV Systems’ Maximum Power Point Tracker Based on A Scanning PSO Particle Strategy Sustainability 12 3 1185 10.3390/su12031185 Open DOISearch in Google Scholar

González-Castaño, C., Restrepo, C., Kouro, S. and Rodriguez, J. (2021). MPPT Algorithm Based on Artificial Bee Colony for PV System. IEEE Access, 9, pp. 43121–43133. doi: 10.1109/ACCESS.2021.3066281 González-CastañoC. RestrepoC. KouroS. RodriguezJ. 2021 MPPT Algorithm Based on Artificial Bee Colony for PV System IEEE Access 9 43121 43133 10.1109/ACCESS.2021.3066281 Open DOISearch in Google Scholar

Guo, K., Cui, L., Mao, M., Zhou, L. and Zhang, Q. (2020). An Improved Gray Wolf Optimizer MPPT Algorithm for PV System with BFBIC Converter Under Partial Shading. IEEE Access, 8, pp. 103476–103490. doi: 10.1109/ACCESS.2020.2999311 GuoK. CuiL. MaoM. ZhouL. ZhangQ. 2020 An Improved Gray Wolf Optimizer MPPT Algorithm for PV System with BFBIC Converter Under Partial Shading IEEE Access 8 103476 103490 10.1109/ACCESS.2020.2999311 Open DOISearch in Google Scholar

Hamdi, H., Regaya, C. B. and Zaafouri, A. (2019). Real-Time Study of a Photovoltaic System with Boost Converter Using the PSO-RBF Neural Network Algorithms in a MyRio Controller. Solar Energy, 183, pp. 1–16. doi: 10.1016/j.solener.2019.02.064 HamdiH. RegayaC. B. ZaafouriA. 2019 Real-Time Study of a Photovoltaic System with Boost Converter Using the PSO-RBF Neural Network Algorithms in a MyRio Controller Solar Energy 183 1 16 10.1016/j.solener.2019.02.064 Open DOISearch in Google Scholar

Ibrahim, A. W., Zhijian, F., Farh, H. M. H., Zhiguo, W., Ameur, K., Al-Shamma’a, A. A. and Al-Shaalan, A. M. (2023). Dynamic Global Power Extraction of Partially Shaded PV System Using A Hybrid MPSO-PID with Anti-Windup Strategy. Engineering Applications of Artificial Intelligence, 126, p. 106965. doi: 10.1016/j.engappai.2023.106965 IbrahimA. W. ZhijianF. FarhH. M. H. ZhiguoW. AmeurK. Al-Shamma’aA. A. Al-ShaalanA. M. 2023 Dynamic Global Power Extraction of Partially Shaded PV System Using A Hybrid MPSO-PID with Anti-Windup Strategy Engineering Applications of Artificial Intelligence 126 106965 10.1016/j.engappai.2023.106965 Open DOISearch in Google Scholar

Jin, Y., Hou, W., Li, G. and Chen, X. (2017). A Glowworm Swarm Optimization-Based Maximum Power Point Tracking for Photovoltaic/Thermal Systems Under Non-Uniform Solar Irradiation and Temperature Distribution. Energies, 10(4), p. 541. doi: 10.3390/en10040541 JinY. HouW. LiG. ChenX. 2017 A Glowworm Swarm Optimization-Based Maximum Power Point Tracking for Photovoltaic/Thermal Systems Under Non-Uniform Solar Irradiation and Temperature Distribution Energies 10 4 541 10.3390/en10040541 Open DOISearch in Google Scholar

Khatib, T. and Muhsen, D. H. (2020). Photovoltaic Water Pumping Systems: Concept, Design, and Methods of Optimization. Academic Press, 125 London Wall, London EC2Y 5AS, United Kingdom. doi: 10.1016/B978-0-12-821231-8.00002-0 KhatibT. MuhsenD. H. 2020 Photovoltaic Water Pumping Systems: Concept, Design, and Methods of Optimization Academic Press 125 London Wall, London EC2Y 5AS, United Kingdom 10.1016/B978-0-12-821231-8.00002-0 Open DOISearch in Google Scholar

Ko, J. S., Huh, J. H. and Kim, J. C. (2020). Overview of Maximum Power Point Tracking Methods for PV System in Micro Grid. Electronics, 9(5), p. 816. doi: 10.3390/electronics9050816 KoJ. S. HuhJ. H. KimJ. C. 2020 Overview of Maximum Power Point Tracking Methods for PV System in Micro Grid Electronics 9 5 816 10.3390/electronics9050816 Open DOISearch in Google Scholar

Kumar, Y. S. and Gupta, R. (2012). Maximum power point tracking of multiple photovoltaic arrays. In: 2012 Students Conference on Engineering and Systems. IEEE, pp. 1–6. doi: 10.1109/SCES.2012.6199027 KumarY. S. GuptaR. 2012 Maximum power point tracking of multiple photovoltaic arrays In: 2012 Students Conference on Engineering and Systems IEEE 1 6 10.1109/SCES.2012.6199027 Open DOISearch in Google Scholar

Manna, S. and Akella, A. K. (2021). Comparative analysis of various P&O MPPT algorithms for PV system under varying radiation condition. In: 2021 1st International Conference on Power Electronics and Energy (ICPEE). IEEE, pp. 1–6. doi: 10.1109/ICPEE50452.2021.9358690 MannaS. AkellaA. K. 2021 Comparative analysis of various P&O MPPT algorithms for PV system under varying radiation condition In: 2021 1st International Conference on Power Electronics and Energy (ICPEE) IEEE 1 6 10.1109/ICPEE50452.2021.9358690 Open DOISearch in Google Scholar

Manuel, N. L. and İnanç, N. (2022). Sliding Mode Control-Based MPPT and Output Voltage Regulation of A Stand-Alone PV System. Power Electronics and Drives, 7(1), pp. 159–173. doi: 10.2478/pead-2022-0012 ManuelN. L. İnançN. 2022 Sliding Mode Control-Based MPPT and Output Voltage Regulation of A Stand-Alone PV System Power Electronics and Drives 7 1 159 173 10.2478/pead-2022-0012 Open DOISearch in Google Scholar

Menadi, A., Boukahil, F. Z. and Betka, A. (2024). Real-Time Implementation of a Hybrid ESC Approach for Maximising the Extracted Photovoltaic Power Under Partial Shading Conditions. Power Electronics and Drives, 9(1), pp. 191–204. doi: 10.2478/pead-2024-0013 MenadiA. BoukahilF. Z. BetkaA. 2024 Real-Time Implementation of a Hybrid ESC Approach for Maximising the Extracted Photovoltaic Power Under Partial Shading Conditions Power Electronics and Drives 9 1 191 204 10.2478/pead-2024-0013 Open DOISearch in Google Scholar

Moosavi, S. K. R., Mansoor, M., Zafar, M. H., Khan, N. M., Mirza, A. F. and Akhtar, N. (2022). Highly Efficient Maximum Power Point Tracking Control Technique for PV System Under Dynamic Operating Conditions. Energy Reports, 8, pp. 13529–13543. doi: 10.1016/j.egyr.2022.10.011 MoosaviS. K. R. MansoorM. ZafarM. H. KhanN. M. MirzaA. F. AkhtarN. 2022 Highly Efficient Maximum Power Point Tracking Control Technique for PV System Under Dynamic Operating Conditions Energy Reports 8 13529 13543 10.1016/j.egyr.2022.10.011 Open DOISearch in Google Scholar

Priyadarshi, N., Ramachandaramurthy, V. K., Padmanaban, S. and Azam, F. (2019). An Ant Colony Optimized MPPT for Standalone Hybrid PV-Wind Power System with Single Cuk Converter. Energies, 12(1), p. 167. doi: 10.3390/en12010167 PriyadarshiN. RamachandaramurthyV. K. PadmanabanS. AzamF. 2019 An Ant Colony Optimized MPPT for Standalone Hybrid PV-Wind Power System with Single Cuk Converter Energies 12 1 167 10.3390/en12010167 Open DOISearch in Google Scholar

Regaya, C. B., Farhani, F., Hamdi, H., Zaafouri, A. and Chaari, A. (2020). Robust ANFIS Vector Control of Induction Motor Drive for High-Performance Speed Control Supplied by A Photovoltaic Generator. WSEAS Transactions on Systems and Control, 15(37), pp. 356–365. doi: 10.37394/23203.2020.15.37 RegayaC. B. FarhaniF. HamdiH. ZaafouriA. ChaariA. 2020 Robust ANFIS Vector Control of Induction Motor Drive for High-Performance Speed Control Supplied by A Photovoltaic Generator WSEAS Transactions on Systems and Control 15 37 356 365 10.37394/23203.2020.15.37 Open DOISearch in Google Scholar

Sagonda, A. F. and Folly, K. A. (2022). A Comparative Study between Deterministic and Two Meta-Heuristic Algorithms for Solar PV MPPT Control Under Partial Shading Conditions. Systems and Soft Computing, 4, p. 200040. doi: 10.1016/j.sasc.2022.200040 SagondaA. F. FollyK. A. 2022 A Comparative Study between Deterministic and Two Meta-Heuristic Algorithms for Solar PV MPPT Control Under Partial Shading Conditions Systems and Soft Computing 4 200040 10.1016/j.sasc.2022.200040 Open DOISearch in Google Scholar

Salman, S., Ai, X. and Wu, Z. (2018). Design of A P-&-O Algorithm based MPPT Charge Controller for A Stand-Alone 200W PV System. Protection and Control of Modern Power Systems, 3(1), pp. 1–8. doi: 10.1186/s41601-018-0099-8 SalmanS. AiX. WuZ. 2018 Design of A P-&-O Algorithm based MPPT Charge Controller for A Stand-Alone 200W PV System Protection and Control of Modern Power Systems 3 1 1 8 10.1186/s41601-018-0099-8 Open DOISearch in Google Scholar

Shang, L., Guo, H. and Zhu, W. (2020). An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm. Protection and Control of Modern Power Systems, 5(2), pp. 1–8. doi: 10.1186/s41601-020-00161-z ShangL. GuoH. ZhuW. 2020 An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm Protection and Control of Modern Power Systems 5 2 1 8 10.1186/s41601-020-00161-z Open DOISearch in Google Scholar

Zhang, Y., Wang, Y. J. and Yu, J. Q. (2022). A Novel MPPT Algorithm for Photovoltaic Systems Based on Improved Sliding Mode Control. Electronics, 11(15), p. 2421. doi: 10.3390/electronics11152421 ZhangY. WangY. J. YuJ. Q. 2022 A Novel MPPT Algorithm for Photovoltaic Systems Based on Improved Sliding Mode Control Electronics 11 15 2421 10.3390/electronics11152421 Open DOISearch in Google Scholar

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Computer Sciences, Artificial Intelligence, Engineering, Electrical Engineering, Electronics