Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer

Syed Muhammad Fadli, Syed Drus and Norhafidzah, Mohd Saad and Mohammad Fadhil, Abas and Suliana, Ab Ghani and Norazila, Jaalam and Ali, Abid (2023) Distribution feeder reconfiguration with distributed generation using backward/forward sweep power flow - grey wolf optimizer. In: 2023 19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023 - Conference Proceedings , 3-4 March 2023 , Kedah. pp. 213-218.. ISBN 978-166547692-8

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Abstract

This article presents an effective combination method based on Backward/Forward Sweep Power Flow- Grey Wolf optimizer (BFSPF-GWO) for feeder reconfiguration in a distribution network with the presence of distributed generation (DG). The 33-bus test system by adding five tie line switches is proposed with the objective functions of minimizing total power losses and improving the voltage profiles. The results reveal a reduction in active and reactive power losses at 71.41% and 67.66%, respectively. The optimal sizing of DG and installation location are identified by installing a 2.26 MW DG at bus 29. The magnitudes of voltage profiles and critical buses in the test system have been improved. The proposed BFSPF-GWO algorithm's performance in DG placement and sizing with feeder reconfiguration has been evaluated by comparing the results with Mixed-integer optimization by GA (MIOGA) and Particle Swarm optimization (PSO).

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Distributed generation; Feeder reconfiguration; Optimal placement & sizing; Power loss minimization; Voltage profile improvement
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	06 Nov 2023 06:49
Last Modified:	06 Nov 2023 06:49
URI:	http://umpir.ump.edu.my/id/eprint/38776
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