IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i10p2799-d176406.html
   My bibliography  Save this article

Fixed Frequency Sliding Mode Control of Power Converters for Improved Dynamic Response in DC Micro-Grids

Author

Listed:
  • Abdul Rehman Yasin

    (Department of Electrical Engineering, Capital University of Science and Technology (CUST), Islamabad Expressway, Kahuta Road, Zone-V Islamabad 44000, Pakistan)

  • Muhammad Ashraf

    (Department of Electrical Engineering, Capital University of Science and Technology (CUST), Islamabad Expressway, Kahuta Road, Zone-V Islamabad 44000, Pakistan)

  • Aamer Iqbal Bhatti

    (Department of Electrical Engineering, Capital University of Science and Technology (CUST), Islamabad Expressway, Kahuta Road, Zone-V Islamabad 44000, Pakistan)

Abstract

The rapid decrease in conventional energy resources and their harmful impact on the environment has brought the attention of the researchers towards the use of renewable energy technologies. The renewable energy systems are connected to Direct Current (DC) micro-grids via power electronic converters where the load conditions are unknown and network parameters are uncertain. These conditions call for the use of robust control techniques such as Sliding Mode Control (SMC) in order to regulate the grid voltage. However, SMC has a drawback of operating the power converter at variable switching frequency which results in degrading the power quality. This paper introduces a fixed frequency sliding mode controller that does not suffer from this predicament. A novel double integral type switching manifold is proposed to achieve voltage regulation of a DC micro-grid, in the presence of unknown load demands and un-modeled dynamics of the network. Rigorous mathematical analysis is carried out for the stability of the closed loop system and the technique is experimentally validated on position of a DC micro-grid using a specially designed test rig. For benchmarking purposes, a conventional Proportional Integral (PI) controller is also implemented. An improvement of 2.5% in rise time, 6.7% in settling time and reduction of voltage dip by 31.7% during load transaction is achieved as compared to the PI controller. The experiment confirms the hypothesis that fixed frequency SMC shows better performance than its counterpart in the phase of introduced disturbances.

Suggested Citation

  • Abdul Rehman Yasin & Muhammad Ashraf & Aamer Iqbal Bhatti, 2018. "Fixed Frequency Sliding Mode Control of Power Converters for Improved Dynamic Response in DC Micro-Grids," Energies, MDPI, vol. 11(10), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2799-:d:176406
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/10/2799/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/10/2799/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    2. Javier Calvente & Abdelali El Aroudi & Roberto Giral & Angel Cid-Pastor & Enric Vidal-Idiarte & Luis Martínez-Salamero, 2018. "Design of Current Programmed Switching Converters Using Sliding-Mode Control Theory," Energies, MDPI, vol. 11(8), pages 1-20, August.
    3. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    4. Priscilla D. Antunez & Douglas M. Bishop & Yu Luo & Richard Haight, 2017. "Efficient kesterite solar cells with high open-circuit voltage for applications in powering distributed devices," Nature Energy, Nature, vol. 2(11), pages 884-890, November.
    5. Pedro Faria & João Spínola & Zita Vale, 2018. "Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs," Energies, MDPI, vol. 11(8), pages 1-17, July.
    6. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Awais & Abdul Rehman Yasin & Mudassar Riaz & Bilal Saqib & Saba Zia & Amina Yasin, 2021. "Robust Sliding Mode Control of a Unipolar Power Inverter," Energies, MDPI, vol. 14(17), pages 1-15, August.
    2. Abdul Rehman Yasin & Muhammad Ashraf & Aamer Iqbal Bhatti, 2019. "A Novel Filter Extracted Equivalent Control Based Fixed Frequency Sliding Mode Approach for Power Electronic Converters," Energies, MDPI, vol. 12(5), pages 1-14, March.
    3. Kamil Khan & Ahmad Kamal & Abdul Basit & Tanvir Ahmad & Haider Ali & Anwar Ali, 2019. "Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm," Energies, MDPI, vol. 12(4), pages 1-13, February.
    4. Jorge Luis Anderson Azzano & Jerónimo J. Moré & Paul F. Puleston, 2019. "Stability Criteria for Input Filter Design in Converters with CPL: Applications in Sliding Mode Controlled Power Systems," Energies, MDPI, vol. 12(21), pages 1-19, October.
    5. Mohamed Derbeli & Oscar Barambones & Jose Antonio Ramos-Hernanz & Lassaad Sbita, 2019. "Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System," Energies, MDPI, vol. 12(9), pages 1-20, April.
    6. Akram M. Abdurraqeeb & Abdullrahman A. Al-Shamma’a & Abdulaziz Alkuhayli & Abdullah M. Noman & Khaled E. Addoweesh, 2022. "RST Digital Robust Control for DC/DC Buck Converter Feeding Constant Power Load," Mathematics, MDPI, vol. 10(10), pages 1-15, May.
    7. Jorge Rivera & Susana Ortega-Cisneros & Florentino Chavira, 2019. "Sliding Mode Output Regulation for a Boost Power Converter," Energies, MDPI, vol. 12(5), pages 1-17, March.

    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. Stephen R. J. Tsuji, 2021. "Indigenous Environmental Justice and Sustainability: What Is Environmental Assimilation?," Sustainability, MDPI, vol. 13(15), pages 1-30, July.
    2. Zhang, Jiyuan & Tang, Hailong & Chen, Min, 2019. "Linear substitute model-based uncertainty analysis of complicated non-linear energy system performance (case study of an adaptive cycle engine)," Applied Energy, Elsevier, vol. 249(C), pages 87-108.
    3. Zhang, Meng & Guo, Huan & Sun, Ming & Liu, Sifeng & Forrest, Jeffrey, 2022. "A novel flexible grey multivariable model and its application in forecasting energy consumption in China," Energy, Elsevier, vol. 239(PE).
    4. Muhammad Riaz & Wojciech Sałabun & Hafiz Muhammad Athar Farid & Nawazish Ali & Jarosław Wątróbski, 2020. "A Robust q-Rung Orthopair Fuzzy Information Aggregation Using Einstein Operations with Application to Sustainable Energy Planning Decision Management," Energies, MDPI, vol. 13(9), pages 1-39, May.
    5. Lingqin Xia & Guang Chen & Tao Wu & Yu Gao & Ardashir Mohammadzadeh & Ebrahim Ghaderpour, 2022. "Optimal Intelligent Control for Doubly Fed Induction Generators," Mathematics, MDPI, vol. 11(1), pages 1-16, December.
    6. Konstantinos Kotsalos & Ismael Miranda & Nuno Silva & Helder Leite, 2019. "A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks," Energies, MDPI, vol. 12(6), pages 1-27, March.
    7. Pedro Faria & Zita Vale, 2019. "Distributed Energy Resources Management 2018," Energies, MDPI, vol. 13(1), pages 1-4, December.
    8. Hongchun Shu & Na An & Bo Yang & Yue Dai & Yu Guo, 2020. "Single Pole-to-Ground Fault Analysis of MMC-HVDC Transmission Lines Based on Capacitive Fuzzy Identification Algorithm," Energies, MDPI, vol. 13(2), pages 1-18, January.
    9. Hongchun Shu & Yiming Han & Ran Huang & Yutao Tang & Pulin Cao & Bo Yang & Yu Zhang, 2020. "Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study," Energies, MDPI, vol. 13(6), pages 1-22, March.
    10. Tomasz Sikorski & Michal Jasiński & Edyta Ropuszyńska-Surma & Magdalena Węglarz & Dominika Kaczorowska & Paweł Kostyla & Zbigniew Leonowicz & Robert Lis & Jacek Rezmer & Wilhelm Rojewski & Marian Sobi, 2020. "A Case Study on Distributed Energy Resources and Energy-Storage Systems in a Virtual Power Plant Concept: Technical Aspects," Energies, MDPI, vol. 13(12), pages 1-30, June.
    11. Jiang Zeng & Lin Yang & Yuchang Ling & Haoping Chen & Zhonglong Huang & Tao Yu & Bo Yang, 2018. "Smoothly Transitive Fixed Frequency Hysteresis Current Control Based on Optimal Voltage Space Vector," Energies, MDPI, vol. 11(7), pages 1-20, July.
    12. Lu, Qing & Yu, Hao & Zhao, Kangli & Leng, Yajun & Hou, Jianchao & Xie, Pinjie, 2019. "Residential demand response considering distributed PV consumption: A model based on China's PV policy," Energy, Elsevier, vol. 172(C), pages 443-456.
    13. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    14. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    15. Hui, Jiuwu & Lee, Yi-Kuen & Yuan, Jingqi, 2023. "Load following control of a PWR with load-dependent parameters and perturbations via fixed-time fractional-order sliding mode and disturbance observer techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    16. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    17. Manzano, J.M. & Salvador, J.R. & Romaine, J.B. & Alvarado-Barrios, L., 2022. "Economic predictive control for isolated microgrids based on real world demand/renewable energy data and forecast errors," Renewable Energy, Elsevier, vol. 194(C), pages 647-658.
    18. Soudan, Bassel, 2019. "Community-scale baseload generation from marine energy," Energy, Elsevier, vol. 189(C).
    19. Ray, Manojit & Chakraborty, Basab, 2019. "Impact of evolving technology on collaborative energy access scaling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 13-27.
    20. Lu, Renzhi & Bai, Ruichang & Ding, Yuemin & Wei, Min & Jiang, Junhui & Sun, Mingyang & Xiao, Feng & Zhang, Hai-Tao, 2021. "A hybrid deep learning-based online energy management scheme for industrial microgrid," Applied Energy, Elsevier, vol. 304(C).

    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:gam:jeners:v:11:y:2018:i:10:p:2799-:d:176406. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.