FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-140116

Research Article |

Optimal Reactive Power Flow in Electrical Networks Using AI-Based Optimization Techniques

Author(s): Saad Hussein Alhamid1, Zena Ez. Dallalbashi2, Zozan Saadallah Hussain3*

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 14, Issue 1

Publisher : FOREX Publication

Published : 10 March 2026

e-ISSN : 2347-470X

Page(s) : 154-159

DOI: https://doi.org/10.37391/IJEER.140116

Abstract

This paper shows a new method to enhance the performance of loop electrical systems by finding optimal reactive power. The Bees Algorithm and the Jaya Algorithm are used to determine the optimal settings of control variables such as generator voltage, tap positions of transformers, and reactive power output of shunt compensators. These methods are tested on IEEE 14 and IEEE 30 bus systems. The results show that hybridizing the Bees Algorithm with the Newton Raphson method has a more favorable effect than hybridizing the Jaya Algorithm with the Newton Raphson method in terms of minimizing active power losses and achieving faster convergence to the optimal solution. The performance of these proposed methods is compared with conventional optimization techniques and presented for illustrative purposes.

Keywords: Bees Algorithm, Jaya algorithm, Reactive power optimization, Minimize active power losses.




Saad Hussein Alhamid, Power Engineering Mechanic Department, Technical Engineering College, al kunooze University, Iraq;Email: saad.alhamid@kunooze.edu.iq

Zena Ez. Dallalbashi,Department of Medical Instrumentation Techniques, Polytechnic College Mosul, Northern Technical University, Iraq; Email: zeina.ez@ntu.edu.iq

Zozan Saadallah Hussain,Department of Electrical Techniques, Polytechnic College Mosul, Northern Technical University, Iraq; Email: zozan.technic@ntu.edu

    [1] Nusair K., Alomoush M., Optimal Reactive Power Dispatch Using Teaching Learning Based Optimization Algorithm with Consideration of FACTS Device “STATCOM”. The 10th Jordan International Electrical and Electronics Engineering Conference 2017, IEEE, 5386-1836.
    [2] Khine Zin Oo., Kyaw Myo Lin., Tin Nile Aung.,2017 " Particle Swarm Optimization Based Optimal Reactive Power Dispatch for Power Distribution Network with Distributed Generation " International Journal of Energy and Power Engineering.
    [3] O. Dzobo_ and Y. Sun_2017” Optimal Reactive Power Dispatch of Power System Networks with distributed generation using particle swarm optimization ". University of Johannesburg, Johannesburg, South Africa.
    [4] Rayudu K., Yesuratnam G., Ali M, Jayalaxmi A,2016-Optimal Reactive Power Dispatch Based on Particle Swarm Optimization and LP Technique. International Conference on Emerging Technological Trends [ICETT].
    [5] Alex Chamba, Carlos Barrera-Singaña, and Hugo Arcos, “Optimal Reactive Power Dispatch in Electric Transmission Systems Using the Multi-Agent Model with Volt-VAR Control,” Energies 2023, 16, 5004. https://doi.org/10.3390/en16135004
    [6] T.Das,R.roy." Impact of the Penetration of Distributed Generation on Optimal Reactive Power Dispatch" Protection and control of modern power systems@ Springer Open 2020.
    [7] Ali Nasser, Ali Abdullah. " Improvement of reactive power dispatch by using Hybrid Intelligent Optimizatin Technique Based on Chaotic and PSO Algorithm" “International Journal of Applied Engineering Research, ISSN 0973-4562 (2018).
    [8] M. Ghasemi, M. Taghizadeh, S. Ghavidel, J.Aghaei, A. Abbasian b, “Solving optimal reactive power dispatch Problem Using a Novel Teaching Learning-Based optimisation algorithm,” Engineering Applications of Artificial Intelligence, Vol. 39, pp. 100–108, 2015.
    [9] D.T. Pham, A. Ghanbarzadeh, E. Koc, S. Otri, S. Rahim, M. Zaidi. “Bee Algorithm: A Novel Approach to Function Optimisation”. The Manufacturing Engineering Centre, Cardiff University, 2005.
    [10] D.T. Pham, N. Hartono, “Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach”. Springer Series in Advanced Manufacturing 2023.
    [11] Rao, R. (2016). Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. International Journal of Industrial Engineering Computations, 7(1), 19-34.
    [12] Zitar, R. A., Al-Betar, M. A., Awadallah, M. A., Doush, I. A., & Assaleh, K. (2022). An intensive and comprehensive overview of the JAYA algorithm, its versions and applications. Archives of Computational Methods in Engineering, 29(2), 763-792.

Saad Hussein Alhamid, Zena Ez. Dallalbashi, and Zozan Saadallah Hussain(2026),Optimal Reactive Power Flow in Electrical Networks Using AI-Based Optimization Techniques. IJEER 14(1), 154-159. DOI: 10.37391/IJEER.140116.