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

Muhammad Haris Khan, Abasin Ulasyar (), Abraiz Khattak, Haris Sheh Zad, Mohammad Alsharef, Ahmad Aziz Alahmadi and Nasim Ullah
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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

Energies, 2022, vol. 15, issue 16, 1-18

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.

Keywords: optimal DG allocation; honey badger algorithm (HBA); whale optimization algorithm (WOA); grey wolf optimization (GWO); metaheuristic algorithms; power loss index method (PLI) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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