IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v324y2025ics0360544225015245.html
   My bibliography  Save this article

Harmonic mitigation in grid-integrated renewable energy systems with nonlinear loads

Author

Listed:
  • Reguieg, Zakaria
  • Bouyakoub, Ismail
  • Mehedi, Fayçal

Abstract

This study addresses the power quality (PQ) challenges associated with integrating renewable energy sources (RES), particularly photovoltaic and wind systems, into the electrical grid with nonlinear loads (NLs). The study focuses on the implementation and performance of the Unified Power Quality Conditioner (UPQC), which comprises series and shunt Active Power Filters connected by a DC link, to mitigate these harmonic distortions. MATLAB Simulink were used to evaluate the UPQC's effectiveness under various scenarios, including normal operation, NL variations, unbalanced NL, and unbalanced NL variations. Fault analysis was performed under 20 % unbalanced voltage sag and swell. The final test involved highly NLs with a total harmonic distortion (THD) exceeding 55 %. The results demonstrate that THD current values range from 1.66 % to 2.23 %, decreasing from more than 55 % to under 5 % in all cases. Additionally, the UPQC mitigates harmonic voltages, reducing them from 9.80 % to 1.7 %, and achieves a reduction of 77.56 % in voltage harmonics and 72.22 % in current harmonics, compared to existing methods. The system also stabilizes the load voltage during fault scenarios. This study provides a comprehensive approach to harmonic mitigation, enhancing PQ and ensuring grid stability in systems integrating RES with NL.

Suggested Citation

  • Reguieg, Zakaria & Bouyakoub, Ismail & Mehedi, Fayçal, 2025. "Harmonic mitigation in grid-integrated renewable energy systems with nonlinear loads," Energy, Elsevier, vol. 324(C).
  • Handle: RePEc:eee:energy:v:324:y:2025:i:c:s0360544225015245
    DOI: 10.1016/j.energy.2025.135882
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225015245
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.135882?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Adedayo Owosuhi & Yskandar Hamam & Josiah Munda, 2023. "Maximizing the Integration of a Battery Energy Storage System–Photovoltaic Distributed Generation for Power System Harmonic Reduction: An Overview," Energies, MDPI, vol. 16(6), pages 1-22, March.
    2. Andrea Mariscotti, 2021. "Power Quality Phenomena, Standards, and Proposed Metrics for DC Grids," Energies, MDPI, vol. 14(20), pages 1-41, October.
    3. Abdallah El Ghaly & Mohamad Tarnini & Nazih Moubayed & Khaled Chahine, 2022. "A Filter-Less Time-Domain Method for Reference Signal Extraction in Shunt Active Power Filters," Energies, MDPI, vol. 15(15), pages 1-16, July.
    4. Muhammad Yasir Ali Khan & Haoming Liu & Zhihao Yang & Xiaoling Yuan, 2020. "A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies," Energies, MDPI, vol. 13(16), pages 1-40, August.
    5. Amina Bensalah & Georges Barakat & Yacine Amara, 2022. "Electrical Generators for Large Wind Turbine: Trends and Challenges," Energies, MDPI, vol. 15(18), pages 1-36, September.
    6. Peng, Xiaokang & Liu, Zicheng & Jiang, Dong, 2021. "A review of multiphase energy conversion in wind power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    7. 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.
    8. Amir Raouf & Kotb B. Tawfiq & Elsayed Tag Eldin & Hossam Youssef & Elwy E. El-Kholy, 2023. "Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance," Energies, MDPI, vol. 16(5), pages 1-22, February.
    9. Shair, Jan & Li, Haozhi & Hu, Jiabing & Xie, Xiaorong, 2021. "Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    10. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    11. Ricardo Jacob Mendoza-Rivera & Luis Enrique Garc a-P rez & Francisco Venegas-Mart nez, 2023. "Renewable and Non-renewable Energy Consumption, CO2 Emissions, and Responsible Economic Growth with Environmental Stability in North America," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 300-311, July.
    12. Reguieg, Zakaria & Bouyakoub, Ismail & Mehedi, Fayçal, 2025. "Integrated optimization of power quality and energy management in a photovoltaic-battery microgrid," Renewable Energy, Elsevier, vol. 241(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oluwafemi Emmanuel Oni & Omowunmi Mary Longe, 2023. "Analysis of Secondary Controller on MTDC Link with Solar PV Integration for Inter-Area Power Oscillation Damping," Energies, MDPI, vol. 16(17), pages 1-18, August.
    2. Chian-Song Chiu & Yu-Ting Chen, 2025. "MPPT-Based Chaotic ABC Algorithm for a Photovoltaic Power System Under Partial Shading Conditions," Energies, MDPI, vol. 18(7), pages 1-17, March.
    3. Ankita Choudhary & Ashutosh Kumar Singh & Rajib Kumar Mandal & Akshay Kumar Saha, 2024. "Switched Capacitor Inverter with Reduced Inrush Current and High Boosting Gain," Energies, MDPI, vol. 17(13), pages 1-21, June.
    4. Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
    5. Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.
    6. Guo, Nai-Zhi & Shi, Ke-Zhong & Li, Bo & Qi, Liang-Wen & Wu, Hong-Hui & Zhang, Zi-Liang & Xu, Jian-Zhong, 2022. "A physics-inspired neural network model for short-term wind power prediction considering wake effects," Energy, Elsevier, vol. 261(PA).
    7. Jonasson, Erik & Fjellstedt, Christoffer & Temiz, Irina, 2024. "Grid impact of co-located offshore renewable energy sources," Renewable Energy, Elsevier, vol. 230(C).
    8. Imed Khabbouchi & Dhaou Said & Aziz Oukaira & Idir Mellal & Lyes Khoukhi, 2023. "Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)," Energies, MDPI, vol. 16(5), pages 1-15, February.
    9. Wang, Xiaomin & Zhuang, Xiao & Zhou, Di & Ge, Jian & Xiang, Jiawei, 2025. "A novel sparrow search algorithm based co-correlation graph construction strategy for wind turbine group anomaly identification via graph attention networks," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    10. Giorgio M. Giannuzzi & Viktoriya Mostova & Cosimo Pisani & Salvatore Tessitore & Alfredo Vaccaro, 2022. "Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators," Energies, MDPI, vol. 15(21), pages 1-13, October.
    11. Akhter, Muhammad Naveed & Mekhilef, Saad & Mokhlis, Hazlie & Ali, Raza & Usama, Muhammad & Muhammad, Munir Azam & Khairuddin, Anis Salwa Mohd, 2022. "A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems," Applied Energy, Elsevier, vol. 307(C).
    12. Pingye Wan & Miao Huang & Jinshan Mou & Lili Tao & Shuping Zhang & Zhihua Hu, 2025. "Voltage Unbalance Control Strategy for Local Shading Photovoltaic Grid-Connected System," Energies, MDPI, vol. 18(3), pages 1-24, January.
    13. Tito G. Amaral & Vitor Fernão Pires & Armando Cordeiro & Daniel Foito & João F. Martins & Julia Yamnenko & Tetyana Tereschenko & Liudmyla Laikova & Ihor Fedin, 2023. "Incipient Fault Diagnosis of a Grid-Connected T-Type Multilevel Inverter Using Multilayer Perceptron and Walsh Transform," Energies, MDPI, vol. 16(6), pages 1-18, March.
    14. Boyan Huang & Kai Song & Shulin Jiang & Zhenqing Zhao & Zhiqiang Zhang & Cong Li & Jiawen Sun, 2024. "A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions," Mathematics, MDPI, vol. 12(24), pages 1-17, December.
    15. Chien, FengSheng & Ngo, Quang-Thanh & Hsu, Ching-Chi & Chau, Ka Yin & Mohsin, Muhammad, 2021. "Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification," MPRA Paper 109667, University Library of Munich, Germany.
    16. Gowthamraj Rajendran & Reiko Raute & Cedric Caruana, 2025. "A Comprehensive Review of Solar PV Integration with Smart-Grids: Challenges, Standards, and Grid Codes," Energies, MDPI, vol. 18(9), pages 1-80, April.
    17. Lakshmi Syamala & Deepa Sankar & Suhara Ekkarakkudy Makkar & Bos Mathew Jos & Mathew Kallarackal, 2022. "Hysteresis Based Quasi Fixed Frequency Current Control of Single Phase Full Bridge Grid Integrated Voltage Source Inverter," Energies, MDPI, vol. 15(21), pages 1-17, October.
    18. Guilherme V. Hollweg & Shahid A. Khan & Shivam Chaturvedi & Yaoyu Fan & Mengqi Wang & Wencong Su, 2023. "Grid-Connected Converters: A Brief Survey of Topologies, Output Filters, Current Control, and Weak Grids Operation," Energies, MDPI, vol. 16(9), pages 1-31, April.
    19. Li, Jingxian & Ma, Ping & Wang, Cong & Zhang, Shaohua & Zhang, Hongli, 2024. "Dynamics analysis and adaptive neural network command filtering excitation control of stochastic power system," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    20. Mounir Alliche & Redha Rebhi & Noureddine Kaid & Younes Menni & Houari Ameur & Mustafa Inc & Hijaz Ahmad & Giulio Lorenzini & Ayman A. Aly & Sayed K. Elagan & Bassem F. Felemban, 2021. "Estimation of the Wind Energy Potential in Various North Algerian Regions," Energies, MDPI, vol. 14(22), pages 1-13, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:324:y:2025:i:c:s0360544225015245. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.