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Study and Investigate of DGs Units Effect on BINWALED 66 kV Sub-Transmission Network Considering Load Growth

International Journal of Electrical and Electronics Engineering
© 2024 by SSRG - IJEEE Journal
Volume 11 Issue 8
Year of Publication : 2024
Authors : Adel Salem Sultan, Almoataz Y. Abdelaziz, Mahmoud A. Attia
10.14445/23488379/IJEEE-V11I8P101
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How to Cite?

Adel Salem Sultan, Almoataz Y. Abdelaziz, Mahmoud A. Attia, "Study and Investigate of DGs Units Effect on BINWALED 66 kV Sub-Transmission Network Considering Load Growth," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 8, pp. 1-13, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I8P101

Abstract:

In this study, a Modified technique via Particle Swarm Optimization (MPSO) has been presented to find optimal sizing and siting of DGs units under different operating situations in the BINWALED 66kV sub-transmission system network in Libya, which has been used as a state to study the viability of distributed generation integration and its effect on sub-transmission system operation. Effects analysis of DGs units on the BINWALED 66 kV sub-transmission network in normal operation and load growth cases has been carried out to find the optimal solution of the penetration level of three DGs units to any changes in the loading of the network. Impacts of DG units have been studied on 29-bus and 47-bus sub-transmission networks using the two approaches, fitting and refurbishing of the three DGs. A comparative study shows that the optimal solution for the penetration level of three DGs units was increased by new optimal sizes, which vary directly with load growth, although the optimal locations of DGs units do not vary with load growth. Furthermore, results indicate that the optimal solution for DGs units' power factor was at a value of 0.87 lagging, which proves the integration of DGs units in controlling these losses and voltage deviations.

Keywords:

MPSO technique, 29-bus and 47-bus sub-transmission system, Optimal refitting of DGs, Load growth, Optimal location, Optimal power factor.

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