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Automatic Voltage Regulation of Grid Connected Photovoltaic System Using Lyapunov Based Sliding Mode Controller: A Finite — Time Approach

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  • Control Theory and Applications
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Abstract

Importance of PV based energy systems cannot be denied with quickly increase in renewable energy demand. Due to inherent uncertainties and non-linear behaviour of grid tied PV system, conventional control strategies are unable to provide satisfactory performance. Therefore, key purpose of this paper is to design non linear controller for the control of grid tied PV system. A novel control strategy is devised by utilizing Lyapunov base finite time non-linear reactive power and dc link voltage control. This strategy employes Lyapunov approach to ensure stability and guarantees robustness. With this control strategy, better and superior performance is observed in comparison to proportional integral controller. Furthermore, simulation results are provided to illustrate the effectiveness of proposed algorithm. Various disturbances of system such as change in solar insolation level, change in reference parameters, faults on buses are considered. With this control strategy, settling time and oscillations are found significantly less than PI controller.

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Author information

Authors and Affiliations

  1. College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China

    Mingyang Xie

  2. Faculty of Electrical Engineering, University of Central Punjab, Lahore, Pakistan

    Muhammad Majid Gulzar

  3. Muhammad Majid Gulzar at University of Central Punjab, Lahore, Pakistan

    Huma Tehreem

  4. Faculty of Electrical Engineering, COMSATS Institute of Information and Technology, Lahore, Pakistan

    Muhammad Yaqoob Javed & Syed Tahir Hussain Rizvi

  5. University of Lahore, Lahore, Pakistan

    Muhammad Yaqoob Javed & Syed Tahir Hussain Rizvi

Authors
  1. Mingyang Xie
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  2. Muhammad Majid Gulzar
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  3. Huma Tehreem
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  4. Muhammad Yaqoob Javed
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  5. Syed Tahir Hussain Rizvi
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Corresponding author

Correspondence to Mingyang Xie.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Dan Zhang under the direction of Editor Hamid Reza Karimi. This work was supported by a grant from the State Administration of Foreign Experts Affairs (DL20180096, G20190010180), the Natural Science Foundation of Jiangsu Science and Technology Department (BK20180427), the Aviation Science Funds (2018ZD52050), the Fundamental Research Funds for the Central Universities (NS2019021).

Mingyang Xie received his Ph.D. degree in Robotics an Control both from City University of Hong Kong, and University of Science and Technology of China in 2016. His research interests include robot control, micro/nano robot, and advanced control theory. He is an Assistant Professor now in Nanjing University of Aeronautics and Astronautics, and he is senior member of IEEE.

Muhammad Majid Gulzar is currently an assistant professor in Faculty of Engineering, University of Central Punjab, Pakistan. He received his Ph.D. degree with specialization in Control Science and Engineering from University of Science and Technology of China (USTC) in 2016. He received his M.S degree in Electrical Engineering from University of Engineering and Technology (UET), Pakistan in 2012. He is a member of Pakistan Engineering Council (PEC) and IEEEP (P). His areas of interest are Optimization Techniques, Multi-agent Networks, Analysis and Design of Linear Systems, Design of Renewable Energy Systems, Maximum Power Point Trackers for PV systems, Economic Energy Dispatch etc. He has advised number of projects in these areas and has number of publications in international leading journals and conferences.

Huma Tehreem is a student of Muhammad Majid Gulzar in Faculty of Electrical Engineering at University of Central Punjab, Lahore, Pakistan. She is a member of Pakistan Engineering Council (PEC). Her areas of interest are Renewable Energy Systems.

Muhammad Yaqoob Javed received his Ph.D. degree from the University of Science and Technology of China (USTC), Anhui, China, his M.Sc. degree from the University of Engineering and Technology (UET), Lahore, Pakistan, and the B.Sc. degree from the University of Central Punjab (UCP), Lahore, Pakistan. He is currently working as an Assistant Professor at the Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Lahore, Pakistan. Before COMSATS he served the University of Central Punjab, from 2008 to 2018 as an Assistant Professor. He is a supervisor of a research group ‘Efficient Electrical Energy Systems’ at CUI Lahore. He has authored/coauthored several research articles in leading journals and conferences of his field. His research interests include the design of renewable energy systems, standalone solar photovoltaic (PV) systems, maximum power point trackers for PV systems, partial shading effects in PV systems, economic energy dispatch, Microgrid, and smart grid systems.

Syed Tahir Hussain Rizvi received his Ph.D. degree in computer and control engineering from Politecnico di Torino, Torino, Italy, in 2018. He is currently an Assistant Professor of computer engineering at The University of Lahore, Lahore, Pakistan. His research interests include the efficient realization of algorithms on embedded systems and machine learning.

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Xie, M., Gulzar, M.M., Tehreem, H. et al. Automatic Voltage Regulation of Grid Connected Photovoltaic System Using Lyapunov Based Sliding Mode Controller: A Finite — Time Approach. Int. J. Control Autom. Syst. 18, 1550–1560 (2020). https://doi.org/10.1007/s12555-019-0563-x

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  • DOI: https://doi.org/10.1007/s12555-019-0563-x

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