Minimization of Power Losses in Distribution Network using Particle Swarm Optimization

• Post by: airjournals
• September 11, 2024
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Ngang Bassey Ngang¹, Nwagu, Chukwukadibia Clinton², Frederick Obuye³ & John John Uket⁴

¹Department of Electrical and Electronic Engineering Veritas University, Abuja, Nigeria
²Power Systems Field Operations, Mantrac CAT Nigeria Limited
³Department of Field Maintenance, Abuja Electricity Distribution Company (AEDC)
⁴Technical Support Department, Federal Ministry of Science, Technology and Innovation Federal Secretariate, Abuja.

ABSTRACT

In this paper, an improved particle swarm optimization (PSO) method is proposed to optimally size and place a DG unit in an electrical power system so as to improve voltage profile and reduce active power losses in the system. The incessant power failure observed in the distribution network has paralyzed business activities. This is primarily caused by power losses in the network that is anchored by the weak buses that their per unit volts could not attain threshold of 0.95 through 1.05.  To stop this persistent power failure in the distribution network constituted by power losses there is an introduction of minimization of power losses in distribution network using particle Swamp optimization. To achieve this, it is done in this manner, characterizing distribution network, running the load flow of 33kV power distribution, minimizing Power losses in the 33kV Power Distribution Network using particle swarm optimization, designing a SIMULINK model for particle swarm optimization and designing a SIMULINK model for minimization of power losses in distribution network using particle SWARP optimization. The results obtained are the conventional voltage in bus 2 that cause instability in power supply in distribution network is 0.940 P.U.V. On the other hand, when Particle swarm optimization is introduced in the system the voltage attains the per unit volts stability of 1.03 thereby improving constant power supply in the distribution network and the percentage of power loss in faulty bus 2 feeder 2 is 3.2%. On the other hand, when Particle swarm optimization is incorporated in the system, it drastically reduced to 3.057%. The percentage improvement in the reduction of power loss in faulty bus 2 feeder 2 is 0.15%.

Citations – APA

Ngang, N. B., Nwagu, C. C., Obuye, F. & Uket, J. J.  (2024). Minimization of Power Losses in Distribution Network using Particle Swarm Optimization. International Journal of Information Sciences and Engineering, 8(2), 1-13. DOI: https://doi.org/10.5281/zenodo.13743999

Keywords: Minimization of Power Losses; Distribution Network; Particle Swarm Optimization (PSO); SIMULINK Model; Power Losses