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Differential Evolution algorithm based Double Integral Sliding Mode Control for Maximum Power Point Tracking of a standalone photovoltaic system

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  • Rizki, H.
  • Boufounas, E.-M.
  • El Amrani, A.
  • El Amraoui, M.
  • Bejjit, L.

Abstract

The purpose of this study is to develop a robust control strategy based on the Sliding Mode Control (SMC) method and its advanced form of Double Integral Sliding Mode Control (DISMC) enhanced by a Differential Evolution (DE) algorithm. This approach focuses on offering a strong and effective method to adjust the controller parameters to minimize the tracking error between the PV output voltage and the reference. The DE algorithm uses initialization, mutation, crossover, and selection phases to accurately find the optimal controller coefficients for effectively implementing the control strategy of DISMC. The present paper highlights the superior performance of DE-DISMC compared to other controllers optimized with conventional methods, demonstrating its ability to provide the highest stability, accuracy, and efficiency to optimize the Maximum Power Point Tracking (MPPT) process. Using real climatic data from Errachidia city which is located in the south-east of Morocco, this work illustrates DE-DISMC’s ability to maintain the PV system’s peak performance in the face of varying environmental conditions, and the Lyapunov analysis confirms the system’s stability. The results of this study are evaluated using various statistical and analytical metrics, including response time, magnitude of chattering, steady-state error, and efficiency. The findings highlight the high performance of the proposed DE-DISMC controller, especially under real climatic test conditions, achieving a response time of 1.1 ms, which is 58% faster than DE-ISMC and 89% than DE-CSMC, along with a negligible chattering magnitude of 2.8×10−6V. It also demonstrates strong resilience and effectiveness, reaching a minimal steady-state error of 0.00014 V and a high efficiency of 99.99%. This balance makes DE-DISMC a reliable control solution, especially in changing environmental conditions.

Suggested Citation

  • Rizki, H. & Boufounas, E.-M. & El Amrani, A. & El Amraoui, M. & Bejjit, L., 2025. "Differential Evolution algorithm based Double Integral Sliding Mode Control for Maximum Power Point Tracking of a standalone photovoltaic system," Renewable Energy, Elsevier, vol. 244(C).
    • Handle: RePEc:eee:renene:v:244:y:2025:i:c:s0960148125001922
    DOI: 10.1016/j.renene.2025.122530
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    References listed on IDEAS

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    1. Zheng, Shiyong & Shahzad, Muhammad & Asif, Hafiz Muhammad & Gao, Jing & Muqeet, Hafiz Abdul, 2023. "Advanced optimizer for maximum power point tracking of photovoltaic systems in smart grid: A roadmap towards clean energy technologies," Renewable Energy, Elsevier, vol. 206(C), pages 1326-1335.
    2. Jately, Vibhu & Azzopardi, Brian & Joshi, Jyoti & Venkateswaran V, Balaji & Sharma, Abhinav & Arora, Sudha, 2021. "Experimental Analysis of hill-climbing MPPT algorithms under low irradiance levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. Águila-León, Jesús & Vargas-Salgado, Carlos & Díaz-Bello, Dácil & Montagud-Montalvá, Carla, 2024. "Optimizing photovoltaic systems: A meta-optimization approach with GWO-Enhanced PSO algorithm for improving MPPT controllers," Renewable Energy, Elsevier, vol. 230(C).
    4. Shufu Yuan & Yuzhang Ji & Yongxu Chen & Xin Liu & Weijun Zhang, 2023. "An Improved Differential Evolution for Parameter Identification of Photovoltaic Models," Sustainability, MDPI, vol. 15(18), pages 1-28, September.
    5. Li, Guorong & Zhang, Yunpeng & Zhou, Hai & Wu, Ji & Sun, Shumin & You, Daning & Zhang, Yuanpeng, 2024. "Novel reference condition independent method for estimating performance for PV modules based on double-diode model," Renewable Energy, Elsevier, vol. 226(C).
    6. Yılmaz, Mehmet & Kaleli, Alirıza & Çorapsız, Muhammed Fatih, 2023. "Machine learning based dynamic super twisting sliding mode controller for increase speed and accuracy of MPPT using real-time data under PSCs," Renewable Energy, Elsevier, vol. 219(P1).
    7. Bouaichi, Abdellatif & El Amrani, Aumeur & Ouhadou, Malika & Lfakir, Aberrazak & Messaoudi, Choukri, 2020. "In-situ performance and degradation of three different photovoltaic module technologies installed in arid climate of Morocco," Energy, Elsevier, vol. 190(C).
    8. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).
    9. Musong L. Katche & Augustine B. Makokha & Siagi O. Zachary & Muyiwa S. Adaramola, 2023. "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, MDPI, vol. 16(5), pages 1-23, February.
    10. Gómez, Javier & Chicaiza, William D. & Escaño, Juan M. & Bordons, Carlos, 2023. "A renewable energy optimisation approach with production planning for a real industrial process: An application of genetic algorithms," Renewable Energy, Elsevier, vol. 215(C).
    11. Ashwin Kumar Devarakonda & Natarajan Karuppiah & Tamilselvi Selvaraj & Praveen Kumar Balachandran & Ravivarman Shanmugasundaram & Tomonobu Senjyu, 2022. "A Comparative Analysis of Maximum Power Point Techniques for Solar Photovoltaic Systems," Energies, MDPI, vol. 15(22), pages 1-30, November.
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