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Investigation on the Development of a Sliding Mode Controller for Constant Power Loads in Microgrids

Author

Listed:
  • Eklas Hossain

    (Department of Electrical Engineering & Renewable Energy, Oregon Tech, Klamath Falls, OR 97601, USA)

  • Ron Perez

    (Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA)

  • Sanjeevikumar Padmanaban

    (Department of Electrical and Electronics Engineering, University of Johannesburg, Auckland Park 2006, South Africa)

  • Pierluigi Siano

    (Department of Industrial Engineering, University of Salerno, 84084 Salerno, Italy)

Abstract

To implement renewable energy resources, microgrid systems have been adopted and developed into the technology of choice to assure mass electrification in the next decade. Microgrid systems have a number of advantages over conventional utility grid systems, however, they face severe instability issues due to the continually increasing constant power loads. To improve the stability of the entire system, the load side compensation technique is chosen because of its robustness and cost effectiveness. In this particular occasion, a sliding mode controller is developed for a microgrid system in the presence of constant power loads to assure a certain control objective of keeping the output voltage constant at 480 V. After that, a robustness analysis of the sliding mode controller against parametric uncertainties was performed and the sliding mode controller’s robustness against parametric uncertainties, frequency variations, and additive white Gaussian noise (AWGN) are presented. Later, the performance of the proportional integral derivative (PID) and sliding mode controller are compared in the case of nonlinearity, parameter uncertainties, and noise rejection to justify the selection of the sliding mode controller over the PID controller. All the necessary calculations are reckoned mathematically and results are verified in a virtual platform such as MATLAB/Simulink with a positive outcome.

Suggested Citation

  • Eklas Hossain & Ron Perez & Sanjeevikumar Padmanaban & Pierluigi Siano, 2017. "Investigation on the Development of a Sliding Mode Controller for Constant Power Loads in Microgrids," Energies, MDPI, vol. 10(8), pages 1-24, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1086-:d:106003
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    References listed on IDEAS

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    1. Emre Ozsoy & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Viliam Fedák & Fiaz Ahmad & Rasool Akhtar & Asif Sabanovic, 2017. "Control Strategy for a Grid-Connected Inverter under Unbalanced Network Conditions—A Disturbance Observer-Based Decoupled Current Approach," Energies, MDPI, vol. 10(7), pages 1-17, July.
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    Cited by:

    1. Swaminathan Ganesan & Sanjeevikumar Padmanaban & Ramesh Varadarajan & Umashankar Subramaniam & Lucian Mihet-Popa, 2017. "Study and Analysis of an Intelligent Microgrid Energy Management Solution with Distributed Energy Sources," Energies, MDPI, vol. 10(9), pages 1-21, September.
    2. Gopinath Subramani & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Josep M. Guerrero, 2017. "Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving," Energies, MDPI, vol. 10(11), pages 1-17, November.
    3. Mohamed A. Hassan & Muhammed Y. Worku & Abdelfattah A. Eladl & Mohammed A. Abido, 2021. "Dynamic Stability Performance of Autonomous Microgrid Involving High Penetration Level of Constant Power Loads," Mathematics, MDPI, vol. 9(9), pages 1-23, April.
    4. Kang Miao Tan & Vigna K. Ramachandaramurthy & Jia Ying Yong & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg, 2017. "Minimization of Load Variance in Power Grids—Investigation on Optimal Vehicle-to-Grid Scheduling," Energies, MDPI, vol. 10(11), pages 1-21, November.
    5. Yaozhen Han & Ronglin Ma & Jinghan Cui, 2018. "Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid," Energies, MDPI, vol. 11(6), pages 1-17, June.
    6. Eklas Hossain & Ron Perez & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Vigna K. Ramachandaramurthy, 2017. "Sliding Mode Controller and Lyapunov Redesign Controller to Improve Microgrid Stability: A Comparative Analysis with CPL Power Variation," Energies, MDPI, vol. 10(12), pages 1-24, November.
    7. Haolan Liang & Zhangjie Liu & Hua Liu, 2019. "Stabilization Method Considering Disturbance Mitigation for DC Microgrids with Constant Power Loads," Energies, MDPI, vol. 12(5), pages 1-19, March.
    8. Mohammed Kh. AL-Nussairi & Ramazan Bayindir & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Pierluigi Siano, 2017. "Constant Power Loads (CPL) with Microgrids: Problem Definition, Stability Analysis and Compensation Techniques," Energies, MDPI, vol. 10(10), pages 1-20, October.
    9. Umashankar Subramaniam & Swaminathan Ganesan & Mahajan Sagar Bhaskar & Sanjeevikumar Padmanaban & Frede Blaabjerg & Dhafer J. Almakhles, 2019. "Investigations of AC Microgrid Energy Management Systems Using Distributed Energy Resources and Plug-in Electric Vehicles," Energies, MDPI, vol. 12(14), pages 1-14, July.
    10. Martín-Antonio Rodríguez-Licea & Francisco-Javier Pérez-Pinal & Jose-Cruz Nuñez-Perez & Carlos-Alonso Herrera-Ramirez, 2018. "Nonlinear Robust Control for Low Voltage Direct-Current Residential Microgrids with Constant Power Loads," Energies, MDPI, vol. 11(5), pages 1-20, May.
    11. Sheng Liu & Peng Su & Lanyong Zhang, 2018. "A Nonlinear Disturbance Observer Based Virtual Negative Inductor Stabilizing Strategy for DC Microgrid with Constant Power Loads," Energies, MDPI, vol. 11(11), pages 1-22, November.
    12. Jia-Jue Li & Bao-Zhu Shao & Jun-Hui Li & Wei-Chun Ge & Jia-Hui Zhang & Heng-Yu Zhou, 2018. "Intelligent Regulation Method for a Controllable Load Used for Improving Wind Power Integration," Energies, MDPI, vol. 11(11), pages 1-14, November.
    13. Ramji Tiwari & Sanjeevikumar Padmanaban & Ramesh Babu Neelakandan, 2017. "Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System," Energies, MDPI, vol. 10(10), pages 1-17, September.

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