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Optimal Sizing and Allocation of Distributed Generation in the Radial Power Distribution System Using Honey Badger Algorithm

Author

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  • Muhammad Haris Khan

    (Department of Electrical Power Engineering, USPCAS-E, National University of Sciences and Technology, Islamabad 44000, Pakistan)

  • Abasin Ulasyar

    (Department of Electrical Power Engineering, USPCAS-E, National University of Sciences and Technology, Islamabad 44000, Pakistan)

  • Abraiz Khattak

    (Department of Electrical Power Engineering, USPCAS-E, National University of Sciences and Technology, Islamabad 44000, Pakistan)

  • Haris Sheh Zad

    (Department of Mechanical & Manufacturing Engineering, Pak-Austria Fachhochschule, Institute of Applied Sciences and Technology, Haripur 22620, Pakistan)

  • Mohammad Alsharef

    (Department of Electrical Engineering, College of Engineering, Taif University, Taif 11099, Saudi Arabia)

  • Ahmad Aziz Alahmadi

    (Department of Electrical Engineering, College of Engineering, Taif University, Taif 11099, Saudi Arabia)

  • Nasim Ullah

    (Department of Electrical Engineering, College of Engineering, Taif University, Taif 11099, Saudi Arabia)

Abstract

There is increasing growth in load demands and financial strain to upgrade the present power distribution system. It faces challenges such as power losses, voltage deviations, lack of reliability and voltage instability. There is also a sense of responsibility in the wake of environmental and energy crises to adopt distributed renewable resources for power generation. These challenges can be resolved by optimally allocating distributed generators (DGs) at different suitable locations in the radial power distribution system. Optimal allocation is a non-linear problem which is solved by powerful metaheuristic optimization algorithms. In this work, an objective function is introduced to optimally size four different types of DGs by utilizing honey badger algorithm (HBA), and comparison is drawn with grey wolf optimization (GWO) and whale optimization algorithm (WOA). The objective is to boost the voltage profile and minimize the power losses of the standard IEEE 33bus and 69-bus radial power distribution system. It is observed from the simulation results that honey badger algorithm is faster than grey wolf optimization and whale optimization algorithm in reaching accurate and optimum results in a mere one and two iterations for IEEE 33-bus and 69-bus systems, respectively. Additionally, power losses are reduced to 71% and 70% for IEEE 33-bus and 69-bus, respectively.

Suggested Citation

  • Muhammad Haris Khan & Abasin Ulasyar & Abraiz Khattak & Haris Sheh Zad & Mohammad Alsharef & Ahmad Aziz Alahmadi & Nasim Ullah, 2022. "Optimal Sizing and Allocation of Distributed Generation in the Radial Power Distribution System Using Honey Badger Algorithm," Energies, MDPI, vol. 15(16), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5891-:d:887773
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    References listed on IDEAS

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    1. Singh, Bindeshwar & Mukherjee, V. & Tiwari, Prabhakar, 2015. "A survey on impact assessment of DG and FACTS controllers in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 846-882.
    2. Hashim, Fatma A. & Houssein, Essam H. & Hussain, Kashif & Mabrouk, Mai S. & Al-Atabany, Walid, 2022. "Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 192(C), pages 84-110.
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    2. Arindita Saha & Puja Dash & Naladi Ram Babu & Tirumalasetty Chiranjeevi & Bathina Venkateswararao & Łukasz Knypiński, 2022. "Impact of Spotted Hyena Optimized Cascade Controller in Load Frequency Control of Wave-Solar-Double Compensated Capacitive Energy Storage Based Interconnected Power System," Energies, MDPI, vol. 15(19), pages 1-25, September.
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    4. Ahmed O. Badr & Abdulsalam A. Aloukili & Metwally A. El-Sharkawy & Mariam A. Sameh & Mahmoud A. Attia, 2022. "Compensation of Distributed Generations Outage Using Controlled Switched Capacitors," Sustainability, MDPI, vol. 14(23), pages 1-24, December.
    5. Ahmed M. Nassef & Mohammad Ali Abdelkareem & Hussein M. Maghrabie & Ahmad Baroutaji, 2023. "Review of Metaheuristic Optimization Algorithms for Power Systems Problems," Sustainability, MDPI, vol. 15(12), pages 1-27, June.

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