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Alienation Coefficient and Wigner Distribution Function Based Protection Scheme for Hybrid Power System Network with Renewable Energy Penetration

Author

Listed:
  • Sheesh Ram Ola

    (Department of Electrical Engineering, Manipal University Jaipur, Rajasthan 303007, India)

  • Amit Saraswat

    (Department of Electrical Engineering, Manipal University Jaipur, Rajasthan 303007, India)

  • Sunil Kumar Goyal

    (Department of Electrical Engineering, Manipal University Jaipur, Rajasthan 303007, India)

  • Virendra Sharma

    (Department of Electrical Engineering, Arya College of Engineering and Information Technology, Jaipur 302028, India)

  • Baseem Khan

    (Department of Electrical Engineering, Hawassa University, Awasa P.O. Box 05, Ethiopia)

  • Om Prakash Mahela

    (Power System Planning Division, Rajasthan Rajya Vidhyut Prasaran Nigam Ltd., Jaipur 302005, India)

  • Hassan Haes Alhelou

    (Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, 2230 Lattakia, Syria)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano (SA), Italy)

Abstract

The rapid growth of grid integrated renewable energy (RE) sources resulted in development of the hybrid grids. Variable nature of RE generation resulted in problems related to the power quality (PQ), power system reliability, and adversely affects the protection relay operation. High penetration of RE to the utility grid is achieved using multi-tapped lines for integrating the wind and solar energy and also to supply loads. This created considerable challenges for power system protection. To overcome these challenges, an algorithm is introduced in this paper for providing protection to the hybrid grid with high RE penetration level. All types of fault were identified using a fault index (FI), which is based on both the voltage and current features. This FI is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). Application of the algorithm is generalized by testing the algorithm for the recognition of faults during different scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. The algorithm is successfully tested for discriminating the switching events from the faulty events. Faults were classified using the number of faulty phases recognized using FI. A ground fault index (GFI) computed using the zero sequence current-based WD-index is also introduced for differentiating double phase and double phase to ground faults. The algorithm is validated using IEEE-13 nodes test network modelled as hybrid grid by integrating wind and solar energy plants. Performance of algorithm is effectively established by comparing with the discrete wavelet transform (DWT) and Stockwell transform based protection schemes.

Suggested Citation

  • Sheesh Ram Ola & Amit Saraswat & Sunil Kumar Goyal & Virendra Sharma & Baseem Khan & Om Prakash Mahela & Hassan Haes Alhelou & Pierluigi Siano, 2020. "Alienation Coefficient and Wigner Distribution Function Based Protection Scheme for Hybrid Power System Network with Renewable Energy Penetration," Energies, MDPI, vol. 13(5), pages 1-25, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1120-:d:327389
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    References listed on IDEAS

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    1. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2017. "Power quality recognition in distribution system with solar energy penetration using S-transform and Fuzzy C-means clustering," Renewable Energy, Elsevier, vol. 106(C), pages 37-51.
    2. Barra, P.H.A. & Coury, D.V. & Fernandes, R.A.S., 2020. "A survey on adaptive protection of microgrids and distribution systems with distributed generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    3. Eissa (SIEEE), M.M., 2015. "Protection techniques with renewable resources and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1645-1667.
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    Cited by:

    1. Atul Kulshrestha & Om Prakash Mahela & Mukesh Kumar Gupta & Neeraj Gupta & Nilesh Patel & Tomonobu Senjyu & Mir Sayed Shah Danish & Mahdi Khosravy, 2020. "A Hybrid Fault Recognition Algorithm Using Stockwell Transform and Wigner Distribution Function for Power System Network with Solar Energy Penetration," Energies, MDPI, vol. 13(14), pages 1-25, July.
    2. Govind Sahay Yogee & Om Prakash Mahela & Kapil Dev Kansal & Baseem Khan & Rajendra Mahla & Hassan Haes Alhelou & Pierluigi Siano, 2020. "An Algorithm for Recognition of Fault Conditions in the Utility Grid with Renewable Energy Penetration," Energies, MDPI, vol. 13(9), pages 1-22, May.
    3. Rizwan Tariq & Ibrahim Alhamrouni & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Nivin A. Ghamry & Habib Hamam, 2022. "An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves," Energies, MDPI, vol. 15(17), pages 1-19, September.
    4. Ekata Kaushik & Vivek Prakash & Raymond Ghandour & Zaher Al Barakeh & Ahmed Ali & Om Prakash Mahela & Roberto Marcelo Álvarez & Baseem Khan, 2023. "Hybrid Combination of Network Restructuring and Optimal Placement of Distributed Generators to Reduce Transmission Loss and Improve Flexibility," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

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