Designing Efficient Hybrid Photovoltaic and Battery Energy Storage Systems with Optimal Controlling and Management

Authors

  • Ali M. Al-Jumaili Department of Electronics Engineering, University of Diyala, 32001 Diyala, Iraq
  • Mohammed Sami Mohammed Department of Pure Science-Computer, University of Diyala, 32001 Diyala, Iraq
  • Manal T. Ali Department of Electronics Engineering, University of Diyala, 32001 Diyala, Iraq
  • Adham Hadi Saleh Department of Electronics Engineering, University of Diyala, 32001 Diyala, Iraq

DOI:

https://doi.org/10.24237/djes.2026.19210

Keywords:

Improved Grey Wolf Optimization, Maximum Power Point tracking, Photovoltaic, Voltage regulation, Energy storage

Abstract

A novel control strategy was introduced for enhancing the performance of photovoltaic (PV) systems integrated into the power grid. The proposed method applied an Improved Grey Wolf Optimizer (IGWO) directly for Maximum Power Point Tracking (MPPT) in PV systems. The main goal is to maximize the output power extracted from the PV panels under varying environmental conditions while in the same stage improving the power quality delivered to the grid through keeping the stable voltage and frequency at the same required levels. A detailed simulation model was obtained using MATLAB/Simulink, including the PV array, DC-DC boost converter, and grid-connected inverter. The IGWO algorithm was employed to determine the optimal controlling signals for MPPT, that providing in high dynamic performance compared to traditional techniques. Simulation was included list of three cases in solar irradiance and load variations to evaluate the effectiveness of the controller. The proposed IGWO-based MPPT strategy achieved higher output power from the PV system compared to the selected traditional method as P&O. In addition, the method effectively minimized the Total Harmonic Distortion (THD) and ensures voltage with frequency stability at the point of common coupling. The designing of a single optimization control for the PV framework based on IGWO technique was the main novelty of this work through the integration between the regulated grid voltage and frequency stabilization. This control strategy enhanced the reliability, making it a strong candidate for next-generation renewable energy integration.

Downloads

Download data is not yet available.

References

[1] N. Mendis, M. A. Mahmud, T. K. Roy, M. E. Haque, and K. M. Muttaqi, “Power management and control strategies for efficient operation of a solar power dominated hybrid DC microgrid for remote power applications,” 2016, doi: 10.1109/IAS.2016.7731816.

[2] M. Singh, L. A. C. Lopes, and N. A. Ninad, “Grid forming Battery Energy Storage System (BESS) for a highly unbalanced hybrid mini-grid,” Electr. Power Syst. Res., vol. 127, 2015, doi: 10.1016/j.epsr.2015.05.013.

[3] I. K. Amin, M. N. Uddin, and J. A. Cotter, “A PV-coupled Battery Energy Storage System Incorporated with PSO-ANFIS based MPPT Controller for Standalone Mode,” in Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), 2021, vol. 2021-October, doi: 10.1109/IAS48185.2021.9677169.

[4] A. Pradipta, D. C. Riawan, and Soedibyo, “Power flow control of battery energy storage system using droop voltage regulation technique integrated with hybrid PV/Wind generation system,” in 2018 International Conference on Information and Communications Technology, ICOIACT 2018, 2018, vol. 2018-January, doi: 10.1109/ICOIACT.2018.8350704.

[5] M. Patel and S. Bohra, “Power management of grid-connected PV wind hybrid system incorporated with energy storage system,” Futur. Energy, vol. 2, no. 3, 2023, doi: 10.55670/fpll.fuen.2.3.2.

[6] A. Mahesh, K. S. Sandhu, and J. V. Rao, “Optimal Sizing of Battery Energy Storage System for Smoothing Power Fluctuations of a PV/Wind Hybrid System,” Int. J. Emerg. Electr. Power Syst., vol. 18, no. 1, 2017, doi: 10.1515/ijeeps-2016-0105.

[7] I. Masenge and F. Mwasilu, “Hybrid Solar PV-Wind Generation System Coordination Control and Optimization of Battery Energy Storage System for Rural Electrification,” 2020, doi: 10.1109/PowerAfrica49420.2020.9219890.

[8] M. Z. Daud, A. Mohamed, M. Z. Che Wanik, and M. A. Hannan, “Performance evaluation of grid-connected photovoltaic system with battery energy storage,” 2012, doi: 10.1109/PECon.2012.6450234.

[9] P. Verma, P. Mahajan, and R. Garg, “DC Link Voltage Control of Stand-Alone PV Tied with Battery Energy Storage System,” 2021.

[10] B. Jena, S. Goel, and R. Sharma, “Smoothing control scheme of photovoltaic module through a battery energy storage system,” Int. J. Eng. Adv. Technol., vol. 8, no. 6 Special Issue 3, 2019, doi: 10.35940/ijeat.F1308.0986S319.

[11] J. Li, Y. Qiao, G. Liu, and Z. Lu, “Capacity Configuration of Battery Energy Storage System for Photovoltaic Generation System Considering the High Chargerate,” in E3S Web of Conferences, 2020, vol. 182, doi: 10.1051/e3sconf/202018203003.

[12] X. Hai, L. Yin, Z. Jia, Q. Yu, Y. Wang, and D. Yao, “Optimizing capacity configuration of photovoltaic and battery energy storage systems in EV charging station based on time-of-use pricing,” in IOP Conference Series: Materials Science and Engineering, 2019, vol. 486, no. 1, doi: 10.1088/1757-899X/486/1/012062.

[13] W. Xiong, J. Zeng, L. Wu, and H. Cheng, “Power management of a residential hybrid photovoltaic inverter with battery energy storage system,” 2019, doi: 10.1109/PEDG.2019.8807638.

[14] A. Subramanian and J. Raman, “Grasshopper optimization algorithm tuned maximum power point tracking for solar photovoltaic systems,” J. Ambient Intell. Humaniz. Comput., vol. 12, no. 9, 2021, doi: 10.1007/s12652-020-02593-9.

[15] M. A. Khazain, N. M. Hidayat, K. Burhanudin, and E. Abdullah, “Boost Converter of Maximum Power Point Tracking (MPPT) Using Particle Swarm Optimization (PSO) Method,” 2021, doi: 10.1109/ICSGRC53186.2021.9515228.

[16] N. Cao and J. Liu, “An improved maximum power point tracking for photovoltaic grid-connected inverter,” 2013, doi: 10.1109/ICMA.2013.6617987.

[17] S. V. Dhople, A. Davoudi, G. Nilles, and P. L. Chapman, “Maximum power point tracking feasibility in photovoltaic energy-conversion systems,” 2010, doi: 10.1109/APEC.2010.5433556.

[18] Selvam R, “Design and Implementation of an Intelligent Maximum Power Point Tracking Controller for Dual-Axis Solar Tracking Photovoltaic Systems,” INTERANTIONAL J. Sci. Res. Eng. Manag., vol. 08, no. 05, 2024, doi: 10.55041/ijsrem33623.

[19] U. U. Rehman, P. Faria, L. Gomes, and Z. Vale, “Artificial Neural Network Based Efficient Maximum Power Point Tracking for Photovoltaic Systems,” 2022, doi: 10.1109/EEEIC/ICPSEurope54979.2022.9854613.

[20] K. Ullah, M. Ishaq, F. Tchier, H. Ahmad, and Z. Ahmad, “Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system,” Results Eng., vol. 20, 2023, doi: 10.1016/j.rineng.2023.101466.

[21] M. S. Mohammed, A. H. Saleh, H. K. AL-Qaysi, and R. A. Vural, “Finite automated system to design a high efficiency LLC resonant converter system for 3 kW. PV solar array,” e-Prime - Adv. Electr. Eng. Electron. Energy, vol. 10, 2024, doi: 10.1016/j.prime.2024.100770.

[22] M. S. Mohammed and R. A. Vural, “Evolutionary Design Automation of High Efficiency Series Resonant Converter for Photovoltaic Systems,” IEEE Trans. Power Electron., vol. 35, no. 11, 2020, doi: 10.1109/TPEL.2020.2987086.

[23] [23] R. M. Imran and K. H. Chalok, “Innovative mode selective control and parameterization for charging Li-ion batteries in a PV system,” AIMS Energy, vol. 12, no. 4, 2024, doi: 10.3934/energy.2024039.

[24] M. S. Mohammed and R. Acar Vural, “A High Efficiency Design of PV-Array Dimension Optimization for Shaded and Non-Shaded Configuration,” 2019, doi: 10.1109/GCAT47503.2019.8978349.

[25] I. S. Millah, P. C. Chang, D. F. Teshome, R. K. Subroto, K. L. Lian, and J. F. Lin, “An Enhanced Grey Wolf Optimization Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading Conditions,” IEEE Open J. Ind. Electron. Soc., vol. 3, 2022, doi: 10.1109/OJIES.2022.3179284.

[26] H. Alhumade, H. Rezk, M. Louzazni, I. A. Moujdin, and S. Al-Shahrani, “Advanced Energy Management Strategy of Photovoltaic/PEMFC/Lithium-Ion Batteries/Supercapacitors Hybrid Renewable Power System Using White Shark Optimizer,” Sensors, vol. 23, no. 3, 2023, doi: 10.3390/s23031534.

[27] S. J. Yaqoob, S. Motahhir, and E. B. Agyekum, “A new model for a photovoltaic panel using Proteus software tool under arbitrary environmental conditions,” J. Clean. Prod., vol. 333, 2022, doi: 10.1016/j.jclepro.2021.130074.

[28] S. J. Yaqoob, A. L. Saleh, S. Motahhir, E. B. Agyekum, A. Nayyar, and B. Qureshi, “Comparative study with practical validation of photovoltaic monocrystalline module for single and double diode models,” Sci. Rep., vol. 11, no. 1, 2021, doi: 10.1038/s41598-021-98593-6.

[29] A. S. Shaeel, H. H. Abed, and A. F. Al-Baghdadi, “Modeling and Detection of Cyber and Physical Attacks on the Control Unit of PV Farm System,” Diyala J. Eng. Sci., vol. 18, no. 2, 2025, doi: 10.24237/djes.2025.18210.

[30] W. Chen, W. T. Chen, M. Saif, M. F. Li, and H. Wu, “Simultaneous Fault Isolation and Estimation of Lithium-Ion Batteries via Synthesized Design of Luenberger and Learning Observers,” IEEE Trans. Control Syst. Technol., vol. 22, no. 1, 2014, doi: 10.1109/TCST.2013.2239296.

[31] S. J. Yaqoob, J. K. Raham, and H. A. Sadiq, “Analysis and Simulation of Current-source Flyback Inverter with Efficient BCM Control Strategy,” WSEAS Trans. Electron., vol. 12, 2021, doi: 10.37394/232017.2021.12.18.

[32] A. L. Saleh, A. A. Obed, Z. A. Hassoun, and S. J. Yaqoob, “Modeling and Simulation of A Low Cost Perturb& Observe and Incremental Conductance MPPT Techniques in Proteus Software Based on Flyback Converter,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 881, no. 1, doi: 10.1088/1757-899X/881/1/012152.

[33] S. Mirjalili, S. Mohammad, and A. Lewis, “Advances in Engineering Software Grey Wolf Optimizer,” Adv. Eng. Softw., vol. 69, 2014.

[34] S. N. Makhadmeh et al., “Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review,” IEEE Access, vol. 12, 2024, doi: 10.1109/ACCESS.2023.3304889.

[35] A. M. Eltamaly and Z. A. Almutairi, “A novel star-nosed mole optimization algorithm applied for MPPT of PV systems,” Sci. Rep., vol. 15, no. 1, 2025, doi: 10.1038/s41598-025-02938-4.

Downloads

Published

2026-06-15

How to Cite

[1]
“Designing Efficient Hybrid Photovoltaic and Battery Energy Storage Systems with Optimal Controlling and Management”, DJES, vol. 19, no. 2, pp. 140–157, Jun. 2026, doi: 10.24237/djes.2026.19210.

Similar Articles

21-30 of 401

You may also start an advanced similarity search for this article.