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Exploiting the Moth–Flame Optimization Algorithm for Optimal Load Management of the University Campus: A Viable Approach in the Academia Sector

Author

Listed:
  • Ibrar Ullah

    (Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Irshad Hussain

    (Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan)

  • Khalid Rehman

    (Faculty of Electrical Engineering, CECOS University, Peshawar 25000, Pakistan)

  • Piotr Wróblewski

    (Faculty of Engineering, University of Technology and Economics H. Chodkowska in Warsaw, Jutrzenki 135, 02-231 Warsaw, Poland
    Faculty of Mechatronics, Armament and Aerospace, Military University of Technology, Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland)

  • Wojciech Lewicki

    (Faculty of Economics, West Pomeranian University of Technology Szczecin, Zolnierska 47, 71-210 Szczecin, Poland)

  • Balasubramanian Prabhu Kavin

    (Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Educationand Research, Porur, Chennai 60011, Tamil Nadu, India)

Abstract

Unbalanced load condition is one of the major issues of all commercial, industrial and residential sectors. Unbalanced load means that, when different loads are distributed on a three-phase four-wire system, unequal currents pass through the three phases. Due to it, a heavy current flows in the neutral wire, which not only adds the losses, but also puts constraints on three phases’ loads. In this paper, we have presented a practical approach for load balancing. First, we have considered the existing three-phase load system where the supply is a three-phase unbalanced supply. Before balancing the load, it is necessary to compensate the current in neutral wire. A nature-inspired moth–flame optimization (MFO) algorithm is used to propose a scheme for balancing of current in neutral wire. The information of a distributed single-phase load was used to balance the currents in a three-phase system. The feeder phase and load profiles of each single-phase load are used to reconfigure the network using an optimization process. By balancing the current of three phases, the current of the neutral conductor in substation transformers was reduced to almost zero.

Suggested Citation

  • Ibrar Ullah & Irshad Hussain & Khalid Rehman & Piotr Wróblewski & Wojciech Lewicki & Balasubramanian Prabhu Kavin, 2022. "Exploiting the Moth–Flame Optimization Algorithm for Optimal Load Management of the University Campus: A Viable Approach in the Academia Sector," Energies, MDPI, vol. 15(10), pages 1-27, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3741-:d:819458
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    References listed on IDEAS

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    1. Muhammad Riaz & Sadiq Ahmad & Irshad Hussain & Muhammad Naeem & Lucian Mihet-Popa, 2022. "Probabilistic Optimization Techniques in Smart Power System," Energies, MDPI, vol. 15(3), pages 1-39, January.
    2. Haneef Ullah & Murad Khan & Irshad Hussain & Ibrar Ullah & Peerapong Uthansakul & Naeem Khan, 2021. "An Optimal Energy Management System for University Campus Using the Hybrid Firefly Lion Algorithm (FLA)," Energies, MDPI, vol. 14(19), pages 1-16, September.
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    Cited by:

    1. Andrii Radchenko & Mykola Radchenko & Hanna Koshlak & Roman Radchenko & Serhiy Forduy, 2022. "Enhancing the Efficiency of Integrated Energy Systems by the Redistribution of Heat Based on Monitoring Data," Energies, MDPI, vol. 15(22), pages 1-18, November.

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