Intelligent Control of High Gain Improved Zeta Converter for Hybrid Renewable Energy Management
DOI:
https://doi.org/10.12928/biste.v8i3.14545Keywords:
PV System, DFIG-WECS, HGIZC, CBFO-PI Controller and Energy Storage SystemAbstract
The appropriate way to diminish greenhouse gas emissions is the usage of Renewable Energy Sources (RES). Nevertheless, the sporadic nature of these resources has led to random characteristics in the generation and load balancing the microgrid systems. This work proposes an advanced hybrid energy management system that incorporates PV and wind systems with battery to assure continuous supply of power. The system integrates an innovative High Gain Improved Zeta Converter (HGIZC) for effective PV energy conversion, allowing high step-up voltage gain with reduced losses. The HGIZC converter uses voltage multiplier cell that enables it to attain maximum voltage efficiently with decreased component stress. A Chaotic Bacterial Foraging Optimized Proportional Integral (CBFO-PI) controller is developed to dynamically manage the converter output and sustain a stable DC bus voltage. The chaos theory is utilized in CBFO to alter the PI controller’s parameters to sustain a steady voltage. The Wind Energy Conversion System (WECS) utilizes a Doubly Fed Induction Generator (DFIG) coupled with a rectifier to extract maximum energy from wind resources. The benefit of battery is store the power produced by the hybrid energy systems and the bi-directional converter performing charging/discharging function of battery. This research is implemented in MATLAB tool, exposes the converter efficacy of 98.03% with reduced THD 1.03 %. The developed research optimizes power flow among PV, wind and battery systems, assuring stability and allowing reliable hybrid renewable energy integration, thereby efficiently alleviating the variability caused by the sporadic nature of renewable sources.
References
H. T. Dinh, J. Yun, D. M. Kim, K. H. Lee and D. Kim, "A home energy management system with renewable energy and energy storage utilizing main grid and electricity selling," IEEE access, vol. 8, pp. 49436-49450, 2020, https://doi.org/10.1109/ACCESS.2020.2979189.
A. Kechida, D. Gozim, B. Toual, M. M. Alharthi, T. F. Agajie, S. S. Ghoneim and R. N. Ghaly, "Smart control and management for a renewable energy based stand-alone hybrid system," Scientific Reports, vol. 14, no. 1, pp. 32039, 2024, https://doi.org/10.1038/s41598-024-83826-1.
T. Al Smadi, A. Handam, K. S. Gaeid, A. Al-Smadi, Y. Al-Husban and A. smadi Khalid, "Artificial intelligent control of energy management PV system," Results in Control and Optimization, vol. 14, pp. 100343, 2024, https://doi.org/10.1016/j.rico.2023.100343.
M. E. Shayan, G. Najafi, B. Ghobadian, S. Gorjian and M.Mazlan, "A novel approach of synchronization of the sustainable grid with an intelligent local hybrid renewable energy control," International Journal of Energy and Environmental Engineering, vol. 14, no. 1, pp. 35-46, 2023, https://doi.org/10.1007/s40095-022-00503-7.
B. S. Sami, "Intelligent energy management for off-grid renewable hybrid system using multi-agent approach," IEEE Access, vol. 8, pp. 8681-8696, 2020, https://doi.org/10.1109/ACCESS.2019.2963584.
M. Saadi, D. Djalel, B. Meghni, and D. Rekioua, "Intelligent Energy Management Strategy and Sizing Methodology for Hybrid Systems in Isolated Regions," Chinese Journal of Electrical Engineering, vol. 10, no. 3, pp. 50-62, 2024, https://doi.org/10.23919/CJEE.2024.000091.
M. Talaat, M. H. Elkholy, A. Alblawi and T. Said, "Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources," Artificial Intelligence Review, vol. 56, no. 9, pp. 10557-10611, 2023, https://doi.org/10.1007/s10462-023-10410-w.
I. E. Atawi, A. Q. Al-Shetwi, A. M. Magableh and O. H. Albalawi, "Recent advances in hybrid energy storage system integrated renewable power generation: Configuration, control, applications, and future directions," Batteries, vol. 9, no. 1, pp. 29, 2022, https://doi.org/10.3390/batteries9010029.
M. M. Gulzar, M. Iqbal, S. Shahzad, H. A. Muqeet, M. Shahzad and M. M. Hussain, "Load frequency control (LFC) strategies in renewable energy-based hybrid power systems: A review," Energies, vol. 15, no. 10, pp. 3488, 2022, https://doi.org/10.3390/en15103488.
H. El Hafdaoui, A. Khallaayoun, and S. AIMajeed, "Controlled Non-Dominated Sorting Genetic Algorithms for Multi-Objective Optimal Design of Standalone and Grid-Connected Renewable Energy Systems in Integrated Energy Sectors," IEEE Access, vol. 13, pp. 14658-14685, 2025, https://doi.org/10.1109/ACCESS.2025.3530084.
K. S. Kavin, P. Subha Karuvelam, M. Devesh Raj, and M. Sivasubramanian, "A novel KSK converter with machine learning MPPT for PV applications," Electric Power Components and Systems, pp. 1-19, 2024, https://doi.org/10.1080/15325008.2024.2346806.
K. A. Al Sumarmad, N. Sulaiman, N. I. A. Wahab and H. Hizam, "Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers," Energies, vol. 15, no. 1, pp. 303, 2022, https://doi.org/10.3390/en15010303.
M. I. Mosaad, H. S. M. Ramadan, M. Aljohani, M. F. El-Naggar and S. S. Ghoneim, "Near-optimal PI controllers of STATCOM for efficient hybrid renewable power system," IEEE Access, vol. 9, pp. 34119-34130, 2021, https://doi.org/10.1109/ACCESS.2021.3058081.
M. B. Abdelghany, A. Al-Durra and F. Gao, "A coordinated optimal operation of a grid-connected wind-solar microgrid incorporating hybrid energy storage management systems," IEEE Transactions on Sustainable Energy, vol. 15, no. 1, pp. 39-51, 2023, https://doi.org/10.1109/TSTE.2023.3263540.
V. V. Murty, and A. Kumar, "Optimal energy management and techno-economic analysis in microgrid with hybrid renewable energy sources," Journal of Modern Power Systems and Clean Energy, vol. 8, no. 5, pp. 929-940, 2020, https://doi.org/10.35833/MPCE.2020.000273.
M. U. Saleem, M. Shakir, M. R. Usman, M. H. T. Bajwa, N. Shabbir, P. Shams Ghahfarokhi and K. Daniel, "Integrating smart energy management system with internet of things and cloud computing for efficient demand side management in smart grids," Energies, vol. 16, no. 12, pp. 4835, 2023, https://doi.org/10.3390/en16124835.
M. Hassan, "Machine learning optimization for hybrid electric vehicle charging in renewable microgrids," Scientific Reports, vol. 14, no. 1, pp. 13973, 2024, https://doi.org/10.1038/s41598-024-63775-5.
Y. Boujoudar, M. Azeroual, L. Eliysaouy, F. Z. Bassine, A. J. Albarakati, A. Aljarbouh, A. Knyazkov, H. El Moussaoui and T. Lamhamdi, "Fuzzy logic-based controller of the bidirectional direct current to direct current converter in microgrid," Int. J. Elect. Computer Syst. Eng, vol. 13, no. 5, pp. 4789-4797, 2023, https://doi.org/10.11591/ijece.v13i5.pp4789-4797.
M. Davari, W. Gao, A. Aghazadeh, F. Blaabjerg and F. L. Lewis, "An Optimal Synchronization Control Method of PLL Utilizing Adaptive Dynamic Programming to Synchronize Inverter-Based Resources With Unbalanced, Low-Inertia, and Very Weak Grids," in IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 24-42, 2025, https://doi.org/10.1109/TASE.2023.3329479.
Z. Zhao, J. Guo, X. Luo, C. S. Lai, P. Yang, L. L. Lai, P. Li, J. M. Guerrero and M. Shahidehpour, "Distributed robust model predictive control-based energy management strategy for islanded multi-microgrids considering uncertainty," IEEE Transactions on Smart Grid, vol. 13, no. 3, pp. 2107-2120, 2022, https://doi.org/10.1109/TSG.2022.3147370.
K. S. Kavin, P. S. Karuvelam, M. Matcha, and S. Vendoti, "Improved BRBFNN-based MPPT algorithm for coupled inductor KSK converter for sustainable PV system applications," Electrical Engineering, pp. 1-23, 2025, https://doi.org/10.1007/s00202-025-02952-9.
J. Wang, J. Zhou and W. Zhao, "Deep reinforcement learning based energy management strategy for fuel cell/battery/supercapacitor powered electric vehicle," Green Energy and Intelligent Transportation, vol. 1, no. 2, pp. 100028, 2022, https://doi.org/10.1016/j.geits.2022.100028.
O. F. Orikpete, S. Ikemba and D. R. E. Ewim, "Integration of renewable energy technologies in smart building design for enhanced energy efficiency and self-sufficiency," The Journal of Engineering and Exact Sciences, vol. 9, no. 9, pp. 16423-01e, 2023, https://doi.org/10.18540/jcecvl9iss9pp16423-01e.
T. Lan, K. Jermsittiparsert, T. Alrashood, S. Rezaei, M., L. Al-Ghussain and M. A. Mohamed, "An advanced machine learning based energy management of renewable microgrids considering hybrid electric vehicles’ charging demand," Energies, vol. 14, no. 3, pp. 569, 2021, https://doi.org/10.3390/en14030569.
Y. Sahri, Y. Belkhier, S. Tamalouzt, N. Ullah, R. N. Shaw, M. S. Chowdhury and K. Techato, "Energy management system for hybrid PV/wind/battery/fuel cell in microgrid-based hydrogen and economical hybrid battery/super capacitor energy storage," Energies, vol. 14, no. 18, pp. 5722, 2021, https://doi.org/10.3390/en14185722.
D. Mazzeo, M. S. Herdem, N. Matera, M. Bonini, J. Z. Wen, J. Nathwani and G. Oliveti, "Artificial intelligence application for the performance prediction of a clean energy community," Energy, vol. 232, pp. 120999, 2021, https://doi.org/10.1016/j.energy.2021.120999.
J. Liu, H. Hu, S. S. Yu and H. Trinh, "Virtual power plant with renewable energy sources and energy storage systems for sustainable power grid-formation, control techniques and demand response," Energies, vol. 16, no. 9, pp. 3705, 2023, https://doi.org/10.3390/en16093705.
J. Liu, H. Hu, S. S. Yu and H. Trinh, "Virtual power plant with renewable energy sources and energy storage systems for sustainable power grid-formation, control techniques and demand response," Energies, vol. 16, no. 9, pp. 3705, 2023, https://doi.org/10.3390/en16093705.
A. Saxena, R. Shankar, E. F. El-Saadany, M. Kumar, O. Al Zaabi, K. Al Hosani and U. R. Muduli, "Intelligent load forecasting and renewable energy integration for enhanced grid reliability," IEEE Transactions on Industry Applications, vol. 60, no. 6, pp. 8403-8417, 2024, https://doi.org/10.1109/TIA.2024.3436471.
M. M. Gulzar, A. Iqbal, D. Sibtain, and M. Khalid, "An innovative converterless solar PV control strategy for a grid connected hybrid PV/wind/fuel-cell system coupled with battery energy storage," IEEE Access, vol. 11, pp. 23245-23259, 2023, https://doi.org/10.1109/ACCESS.2023.3252891.
Z. Chen, Y. Liu, Y. Zhang, Z. Lei, Z. Chen and G. Li, "A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles," Energy, vol. 243, pp. 122727, 2022, https://doi.org/10.1016/j.energy.2021.122727.
E. T. Sayed, A. G. Olabi, A. H. Alami, A. Radwan, A. Mdallal, A. Rezk and M. A. Abdelkareem, "Renewable energy and energy storage systems," Energies, vol. 16, no. 3, pp. 1415, 2023, https://doi.org/10.3390/en16031415.
M. M. Gulzar, A. Iqbal, D. Sibtain and M. Khalid, "An innovative converterless solar PV control strategy for a grid connected hybrid PV/wind/fuel-cell system coupled with battery energy storage," IEEE Access, vol. 11, pp. 23245-23259, 2023, https://doi.org/10.1109/ACCESS.2023.3252891.
M. Kermani, B. Adelmanesh, E. Shirdare, C. A. Sima, D. L. Carnì and L. Martirano, "Intelligent energy management based on SCADA system in a real Microgrid for smart building applications," Renewable Energy, vol. 171, pp. 1115-1127, 2021, https://doi.org/10.1016/j.renene.2021.03.008.
C. Srisailam, and M. Manjula, "Optimized FOPID controller for transient stability improvement in a microgrid with energy storage," SSRG Int J Electr Electron Eng, vol. 10, no. 2, pp. 19-34, 2023, https://doi.org/10.14445/23488379/IJEEE-V10I2P103.
A. Raj, and R. P. Praveen, "Highly efficient DC-DC boost converter implemented with improved MPPT algorithm for utility level photovoltaic applications," Ain Shams Engineering Journal, vol. 13, no. 3, pp. 101617, 2022, https://doi.org/10.1016/j.asej.2021.10.012.
M. I. Guerra, F. M. Ugulino de Araújo, M. Dhimish, and R. G. Vieira, "Assessing maximum power point tracking intelligent techniques on a PV system with a buck–boost converter," Energies, vol. 14, no. 22, pp. 7453, 2021, https://doi.org/10.3390/en14227453.
H. C. Mohanta, B. T. Geetha, M. S. Alzaidi, I. S. Dhanoa, P. Bhambri, U. Mamodiya, and R. Akwafo, "An Optimized PI Controller‐Based SEPIC Converter for Microgrid‐Interactive Hybrid Renewable Power Sources," Wireless Communications and Mobile Computing, vol. 2022, no. 1, pp. 6574825, 2022, https://doi.org/10.1155/2022/6574825.
K. Joshi, V. Raut, S. Waghmare, M. Waje, and R. Patil, "Maximum power operation of a PV system employing zeta converter with modified P&O algorithm," International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 348-354, 2022, https://doi.org/10.14445/22315381/IJETT-V70I7P236.
M. Mavrinac, I. Lorencin, Z. Car, and M. Šercer, "Genetic algorithm-based parametrization of a pi controller for dc motor control," Tehnički glasnik, vol. 16, no. 1, pp. 16-22, 2022, https://doi.org/10.31803//tg-20201119185015.
M. G. Abdolrasol, M. A. Hannan, S. S. Hussain, and T. S. Ustun, "Optimal PI controller based PSO optimization for PV inverter using SPWM techniques," Energy Reports, vol. 8, pp. 1003-1011, 2022, https://doi.org/10.1016/j.egyr.2021.11.180.
M. Fodil, A. Djerioui, M. Ladjal, A. Saim, F. Berrabah, H. Mekki, S. Zeghlache, A. Houari, and M. F. Benkhoris, "Optimization of PI controller parameters by GWO algorithm for five-phase asynchronous motor," Energies, vol. 16, no. 10, pp. 4251, 2023, https://doi.org/10.3390/en16104251.
N. K. Kumar, R. S. Gopi, R. Kuppusamy, S. Nikolovski, Y. Teekaraman, I. Vairavasundaram, and S. Venkateswarulu, "Fuzzy logic-based load frequency control in an island hybrid power system model using artificial bee colony optimization," Energies, vol. 15, no. 6, pp. 2199, 2022, https://doi.org/10.3390/en15062199.
M. Althani, A. Maheri, "An ant colony algorithm for HRES size and configuration optimisation," In 2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA), pp. 1-6, 2021, https://doi.org/10.1109/EFEA49713.2021.9406256.
H. Dong, M. Su, K. Liu, and W. Zou, "Mitigation strategy of subsynchronous oscillation based on fractional-order sliding mode control for VSC-MTDC systems with DFIG-based wind farm access," IEEE Access, vol. 8, pp. 209242-209250, 2020, https://doi.org/10.1109/ACCESS.2020.3038665.
R. K. Behara, and A. K. Saha, "Deep Q-Network Reinforcement Learning Based Rotor Side Control System of A Grid Integrated DFIG Wind Energy System Under Variable Wind Speed Conditions," IEEE Access, vol. 12, pp. 184179-184205, 2024, https://doi.org/10.1109/ACCESS.2024.3511665.
T. Cheng, J. Wu, H. Wang, and H. Zheng, "Dynamic optimization of rotor-side PI controller parameters for doubly-fed wind turbines based on improved recurrent neural networks under wind speed fluctuations," IEEE Access, vol. 11, pp. 102713-102726, 2023, https://doi.org/10.1109/ACCESS.2023.3315590.
M. M. Gulzar, A. Iqbal, D. Sibtain, and M. Khalid, "An innovative converterless solar PV control strategy for a grid connected hybrid PV/wind/fuel-cell system coupled with battery energy storage," IEEE Access, vol. 11, pp. 23245-23259, 2023, https://doi.org/10.1109/ACCESS.2023.3252891.
S. Saravanan, P. Usha Rani, and M. P. Thakre, "Evaluation and Improvement of a Transformerless High-Efficiency DC–DC Converter for Renewable Energy Applications Employing a Fuzzy Logic Controller," MAPAN, pp. 1-20, 2022, https://doi.org/10.20944/preprints202110.0420.v1.
P. Balakishan, I. A. Chidambaram, and M. Manikandan, "An ANN Based MPPT for Power Monitoring in Smart Grid using Interleaved Boost Converter," Tehnički vjesnik, vol. 30, no. 2, pp. 381-389, 2023, https://doi.org/10.17559/TV-20220820194302.
G. H. De Alcântara Bastos, L. F. Costa, F. L. Tofoli, G. V. T. Bascopé, and R. P. T. Bascopé, "Nonisolated DC–DC converters with wide conversion range for high-power applications,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 8, no. 1, pp. 749–760, 2020, https://doi.org/10.1109/JESTPE.2019.2892977.
A. Mirzaee, and J. S. Moghani, "Coupled inductor-based high voltage gain DC–DC converter for renewable energy applications," IEEE Trans. Power Electron, vol. 35, no. 7, pp. 7045–7057, 2020, https://doi.org/10.1109/TPEL.2019.2956098.
H. Tarzamni, P. Kolahian, and M. Sabahi, "High step-up DC–DC converter with efficient inductive utilization," IEEE Transactions on Industrial Electronics, vol. 68, no. 5, pp. 3831-3839, 2020, https://doi.org/10.1109/TIE.2020.2987253.
A. Imanlou, E. Seifi Najmi, and E. Babaei, "A new high voltage gain DC‐DC converter based on active switched‐inductor technique," International Journal of Circuit Theory and Applications, vol. 52, no. 2, pp. 634-657, 2024, https://doi.org/10.1002/cta.3768.
S. Hasanpour, Y. P. Siwakoti, A. Mostaan, and F. Blaabjerg, "New semiquadratic high step-up DC/DC converter for renewable energy applications," IEEE Transactions on Power Electronics, vol. 36, no. 1, pp. 433-446, 2020, https://doi.org/10.1109/TPEL.2020.2999402.
A. V. Pereira, M. C. Cavalcanti, G. M. Azevedo, F Bradaschia, R. C. Neto, and M. R. Carvalho, "A novel single-switch high step-up dc–dc converter with three-winding coupled inductor," Energies, vol. 14, no. 19, pp. 6288, 2021, https://doi.org/10.3390/en14196288.
Y. R. Sankar, and K. C. Sekhar, "Hybrid PV/fuel cell based system using integrated SEPIC-Cuk converter with crow search optimized PI controller," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 15, no. 3, pp. 1726-1738, 2024, https://doi.org/10.11591/ijpeds.v15.i3.pp1726-1738.
J. A. Glenn, and S. Alavandar, "Hybrid optimized PI controller design for grid tied PV based electric vehicle," Intell Autom Soft Comput, vol. 36, no. 2, pp. 1523-1545, 2023, https://doi.org/10.32604/iasc.2023.033545.
M. Rimondi, R. Mandrioli, V. Cirimele, L. K. Pittala, M. Ricco and G. Grandi, "Design of an integrated, six-phase, interleaved, synchronous DC/DCboostconverter on a fuel-cell-powered sport catamaran," Designs, vol. 6, no. 6, pp. 113, 2022, https://doi.org/10.3390/designs6060113.
J. Tang, Z. Qi, L. Shan, W. Ye and C. Zhao, "An innovative interleaved high step-up direct current–direct current converter with switched inductor/capacitor–diode units for hydrogen fuel cell power system," International Journal of Circuit Theory and Applications, vol. 49, no. 9, pp. 3007–3030, 2021, https://doi.org/10.1002/cta.3082.
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