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Optimal Co-Ordination of Directional Overcurrent Relays in Distribution Network Using Whale Optimization Algorithm

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Soft Computing Applications in Modern Power and Energy Systems (EPREC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1107))

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Abstract

Modern power distribution networks are incredibly complex due to the growing incorporation of distributed generators in the past few years. The coordination of Directional Overcurrent Relays (DORs) in interconnected systems with many relays is significantly hindered by this complexity. In a nonlinear and constrained optimization problem, optimal DOR coordination is essential for protecting such complex systems and necessitates rigorous constraints. In order to address the optimal coordination problems of DORs, this study suggests using the Whale Optimisation Algorithm (WOA), a bio-inspired metaheuristic technique. WOA can optimize the fitness function in electrical engineering applications by taking insights from the humpback whales’ hunting strategies. Using various fault data from 3-bus, 9-bus, and 30-bus standard systems, the effectiveness of WOA in promoting optimal DOR coordination is assessed. The main objective is to delineate the implementation of WOA to deal with DOR coordination problems. As a result, we are not comparing WOA's performance against any currently used algorithms. Rather, we use three case studies to test the algorithm's effectiveness with various population sizes and maximum iterations. The outcomes convincingly show that WOA is highly efficient in reducing the total period that primary relays are required to operate.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, 560078, India

    Manoharan Premkumar

  2. Department of Electrical & Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka, India

    Ravichandran Sowmya

  3. Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, 532127, India

    Jagarapu S. V. Siva Kumar

  4. Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India

    Pradeep Jangir

  5. Computer Science Department, Faculty for Information Technology, Al Al-Bayt University, Prince Hussein Bin Abdullah, Mafraq, 25113, Jordan

    Laith Abualigah

  6. Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan

    Laith Abualigah

  7. MEU Research Unit, Middle East University, Amman, Jordan

    Laith Abualigah

  8. School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, 11800, Malaysia

    Laith Abualigah

  9. Department of Electrical and Electronics Engineering, SNS College of Technology, Tamil Nadu, Coimbatore, 641035, India

    Chandran Ramakrishnan

  10. Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon

    Laith Abualigah

  11. Applied Science Research Center, Applied Science Private University, Amman, Jordan

    Laith Abualigah

  12. School of Engineering and Technology, Sunway University Malaysia, Petaling Jaya, Malaysia

    Laith Abualigah

Authors
  1. Manoharan Premkumar
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  2. Ravichandran Sowmya
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  3. Jagarapu S. V. Siva Kumar
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  4. Pradeep Jangir
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  5. Laith Abualigah
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  6. Chandran Ramakrishnan
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Corresponding author

Correspondence to Manoharan Premkumar .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology Jamshedpur, Jamshedpur, India

    Om Hari Gupta

  2. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Narayana Prasad Padhy

  3. Department of Electrical and Computer Engineering, University of North Carolina at Charlotte, Charlotte, NC, USA

    Sukumar Kamalasadan

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Premkumar, M., Sowmya, R., Kumar, J.S.V.S., Jangir, P., Abualigah, L., Ramakrishnan, C. (2024). Optimal Co-Ordination of Directional Overcurrent Relays in Distribution Network Using Whale Optimization Algorithm. In: Gupta, O.H., Padhy, N.P., Kamalasadan, S. (eds) Soft Computing Applications in Modern Power and Energy Systems. EPREC 2023. Lecture Notes in Electrical Engineering, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-99-8007-9_17

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  • DOI: https://doi.org/10.1007/978-981-99-8007-9_17

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