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Research Article

Optimizing Distributed Generation Resources for Power Grid Quality Improvement Using Hybrid Optimization Technique

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Received 09 Jul 2023, Accepted 17 Dec 2023, Published online: 11 Jan 2024

References

  • A. Y. Khan, Z. Ahmad, T. Sultan, S. Alshahrani, K. Hayat, and M. Imran, “Optimization of photovoltaic panel array configurations to reduce lift force using genetic algorithm and CFD,” Energies, vol. 15, no. 24, pp. 9580, 2022. DOI: 10.3390/en15249580.
  • M. S. Hashish et al., “Monte Carlo simulation and a clustering technique for solving the probabilistic optimal power flow problem for hybrid renewable energy systems,” Sustainability, vol. 15, no. 1, pp. 783, 2023. DOI: 10.3390/su15010783.
  • M. S. Nkambule, A. N. Hasan, A. I. Ali, and T. Shongwe, “A novel control strategy in grid-integrated photovoltaic system for power quality enhancement,” Energ, vol. 15, no. 15, pp. 5645, 2022. DOI: 10.3390/en15155645.
  • K. Rafał, W. Radziszewska, O. Grabowski, H. Biedka, and J. Verstraete, “Energy cost minimization with hybrid energy storage system using optimization algorithm,” Appl. Sci., vol. 13, no. 1, pp. 518, 2022. DOI: 10.3390/app13010518.
  • A. Fathy, H. Rezk, S. Ferahtia, R. M. Ghoniem, R. Alkanhel, and M. M. Ghoniem, “A new fractional-order load frequency control for multi-renewable energy interconnected plants using skill optimization algorithm,” Sustainability, vol. 14, no. 22, pp. 14999, 2022. DOI: 10.3390/su142214999.
  • Y. V. Lakshmi, P. Singh, M. Abouhawwash, S. Mahajan, A. K. Pandit, and A. B. Ahmed, “Improved Chan algorithm based optimum UWB sensor node localization using hybrid particle swarm optimization,” IEEE Access, vol. 10, pp. 32546–32565, 2022. DOI: 10.1109/ACCESS.2022.3157719.
  • T. Nguyen, T. Dao, T. Nguye, and T. Nguyen, “An optimal microgrid operations planning using improved archimedes optimization algorithm,” IEEE Access, vol. 10, pp. 67940–67957, 2022. DOI: 10.1109/ACCESS.2022.3185737.
  • K. M. Hosny, A. M. Khalid, H. M. Hamza, and S. Mirjalili, “Multilevel thresholding satellite image segmentation using chaotic coronavirus optimization algorithm with hybrid fitness function,” Neural Comput. Appl., vol. 35, no. 1, pp. 855–886, 2023. DOI: 10.1007/s00521-022-07718-z.
  • S. Altbawi et al., “Optimal control of a single-stage modular PV-grid-driven system using a gradient optimization algorithm,” Energies, vol. 16, pp. 1492, 2023. DOI: 10.3390/en16031492.
  • A. A. Abdelhamid et al., “Robust speech emotion recognition using CNN + LSTM based on stochastic fractal search optimization algorithm,” IEEE Access, vol. 10, pp. 49265–49284, 2022. DOI: 10.1109/ACCESS.2022.3172954.
  • N. Akram, L. M. Khan, S. Agha, and K. Hafeez, “Global maximum power point tracking of partially shaded PV system using advanced optimization techniques,” Energies, vol. 15, no. 11, pp. 4055, 2022. DOI: 10.3390/en15114055.
  • I. D. Fajuke and A. K. Raji, “Firefly algorithm-based optimization of the additional energy yield of bifacial PV modules,” Energies, vol. 15, no. 7, pp. 2651, 2022. DOI: 10.3390/en15072651.
  • A. Rajaram and K. Sathiyaraj, “An improved optimization technique for energy harvesting system with grid connected power for green house management,” J. Electr. Eng. Technol., vol. 17, no. 5, pp. 2937–2949, 2022. DOI: 10.1007/s42835-022-01033-2.
  • K. Sathiyaraj and A. Rajaram, “An optimized design modelling of neural network based green house management system using solar and rectenna,” DYNA Ing. Ind. vol. 97, no. 1, pp. 85–91, 2022. DOI: 10.1007/s42835-022-01033-2.
  • H. Lotfi and R. Ghazi, “Optimal participation of demand response aggregators in reconfigurable distribution system considering photovoltaic and storage units,” J. Ambient Intell. Human Comput., vol. 12, no. 2, pp. 2233–2255, 2021. DOI: 10.1007/s12652-020-02322-2.
  • H. Lotfi, “Multi‐objective energy management approach in distribution grid integrated with energy storage units considering the demand response program,” Int J Energy Res., vol. 44, no. 13, pp. 10662–10681, 2020. DOI: 10.1002/er.5709.
  • I. Cetinbas, B. Tamyürek, and M. Demirtaş, “The hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A new hybrid algorithm for sizing optimization and design of microgrids,” IEEE Access, vol. 10, pp. 19254–19283, 2022. DOI: 10.1109/ACCESS.2022.3151119.
  • M. Yaghoubi, M. Eslami, N. Noroozi, H. Mohammadi, O. Kamari, and S. Palani, “Modified salp swarm optimization for parameter estimation of solar PV models,” IEEE Access, vol. 10, pp. 110181–110194, 2022. DOI: 10.1109/ACCESS.2022.3213746.
  • M. J. Abbass, R. A. Lis, and F. Saleem, “The Maximum Power Point Tracking (MPPT) of a partially shaded PV array for optimization using the Antlion Algorithm,” Energies, vol. 16, no. 5, pp. 2380, 2023. DOI: 10.3390/en16052380.
  • Y. Zheng, L. Chen, D. Wu, P. Jiang, and J. Bao, “Assembly sequence planning method for optimum assembly accuracy of complex products based on modified teaching–learning based optimization algorithm,” Int. J. Adv. Manuf. Technol., vol. 126, no. 3–4, pp. 1681–1699, 2023. DOI: 10.1007/s00170-023-11220-8.
  • S. M. Taleb, Y. Meraihi, A. B. Gabis, S. M. Mirjalili, A. Zaguia, and A. Ramdane-Cherif, “Solving the mesh router nodes placement in wireless mesh networks using coyote optimization algorithm,” IEEE Access, vol. 10, pp. 52744–52759, 2022. DOI: 10.1109/ACCESS.2022.3166866.
  • S. Garip and S. Ozdemir, “Optimization of PV and battery energy storage size in grid-connected microgrid,” Appl. Sci., vol. 12, no. 16, pp. 8247, 2022. DOI: 10.3390/app12168247.
  • G. Abbas et al., “A modified particle swarm optimization algorithm for power sharing and transient response improvement of a grid-tied solar PV based A.C. microgrid,” Energies, vol. 16, no. 1, pp. 348, 2022. DOI: 10.3390/en16010348.
  • N. Dharavat et al., “Optimal allocation of renewable distributed generators and electric vehicles in a distribution system using the political optimization algorithm,” Energies, vol. 15, no. 18, pp. 6698, 2022. DOI: 10.3390/en15186698.
  • A. S. Menesy, H. M. Sultan, I. O. Habiballah, H. Masrur, K. R. Khan, and M. W. Khalid, “Optimal configuration of a hybrid photovoltaic/wind turbine/biomass/hydro-pumped storage-based energy system using a heap-based optimization algorithm,” Energies, vol. 16, no. 9, pp. 3648, 2023. DOI: 10.3390/en16093648.
  • A. Alanazi, M. S. Alanazi, S. Arabi, and S. Sarker, “A new maximum power point tracking framework for photovoltaic energy systems based on remora optimization algorithm in partial shading conditions,” Appl. Sci., vol. 12, no. 8, pp. 3828, 2022. DOI: 10.3390/app12083828.
  • A. J. Riad, H. M. Hasanien, R. A. Turky and A. H. Yakout, “Identifying the PEM fuel cell parameters using artificial rabbits optimization algorithm,” Sustainability, vol. 15, no. 5, pp. 4625, 2023. DOI: 10.3390/su15054625.
  • M. E. Sallam, M. A. Attia, A. Y. Abdelaziz, M. A. Sameh, and A. H. Yakout, “Optimal sizing of different energy sources in an isolated hybrid microgrid using turbulent flow water-based optimization algorithm,” IEEE Access, vol. 10, pp. 61922–61936, 2022. DOI: 10.1109/ACCESS.2022.3182032.
  • M. I. El-Afifi, M. M. Saadawi, and A. A. Eladl, “Cogeneration systems performance analysis as a sustainable clean energy and water source based on energy hubs using the Archimedes optimization algorithm,” Sustainability, vol. 14, no. 22, pp. 14766, 2022. DOI: 10.3390/su142214766.
  • M. Alshareef, “An effective falcon optimization algorithm based MPPT under partial shaded photovoltaic systems,” IEEE Access, vol. 10, pp. 131345–131360, 2022. DOI: 10.1109/ACCESS.2022.3226654.
  • X. Zhang, K. Zhou, P. Li, Y. Xiang, A. M. Zain, and A. Sarkheyli-Hagele, “An improved chaos sparrow search optimization algorithm using adaptive weight modification and hybrid strategies,” IEEE Access, vol. 10, pp. 96159–96179, 2022. DOI: 10.1109/ACCESS.2022.3204798.
  • H. Bakir, U. Guvenc, and H. T. Kahraman, “Optimal operation and planning of hybrid AC/DC power systems using multi-objective grasshopper optimization algorithm,” Neural Comput. Appl., vol. 34, no. 24, pp. 22531–22563, 2022. DOI: 10.1007/s00521-022-07670-y.
  • N. Nagkoulis, E. Loukogeorgaki, and M. Ghislanzoni, “Genetic algorithms-based optimum PV site selection minimizing visual disturbance,” Sustainability, vol. 14, no. 19, pp. 12602, 2022. DOI: 10.3390/su141912602.
  • S. Behzadpoor, I. F. Davoudkhani, A. Y. Abdelaziz, Z. W. Geem, and J. Hong, “Power system stability enhancement using robust FACTS-based stabilizer designed by a hybrid optimization algorithm,” Energies, vol. 15, no. 22, pp. 8754, 2022. DOI: 10.3390/en15228754.
  • B. Arandian et al., “An effective optimization algorithm for parameters identification of photovoltaic models,” IEEE Access, vol. 10, pp. 34069–34084, 2022. DOI: 10.1109/ACCESS.2022.3161467.
  • J. Wang, H. Zhang, H. Song, P. Zhang, and J. Bei, “Prediction of pork supply based on improved mayfly optimization algorithm and BP neural network,” Sustainability, vol. 14, no. 24, pp. 16559, 2022. DOI: 10.3390/su142416559.
  • E. Mendez-Flores, A. Ortiz, I. Macias, and A. Molina, “Experimental validation of an enhanced MPPT algorithm and an optimal DC–DC converter design powered by metaheuristic optimization for PV systems,” Energies, vol. 15, pp. 1–35, 2022. DOI: 10.3390/en15218043.
  • S. Sheik Mohammed, F. Titus, S. B. Thanikanti, S. M. Sulaiman, S. Deb, and N. M. Kumar, “Charge scheduling optimization of plug-in electric vehicle in a PV powered grid-connected charging station based on day-ahead solar energy forecasting in Australia,” Sustainabiliy, vol. 14, no. 6, pp. 3498, 2022. DOI: 10.3390/su14063498.
  • Y. Son et al., “Levelized cost of electricity oriented modular string inverter design optimization for PV generation system using geometric programming,” IEEE Access, vol. 10, pp. 27561–27578, 2022. DOI: 10.1109/ACCESS.2022.3157332.

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