Investigation of DG units influence on 66 kV sub-transmission system network considering region load growth: a case study
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Adel S. Sultan
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Mahmoud A. Attia
Abstract
Voltage breakdown in sub-transmission networks resulting from an increase in load demand can be addressed by incorporating distributed generation (DG) units such as hydro, wind, photovoltaic, and geothermal in some buses. This approach can lower power losses and the price of the primary generated energy while increasing network dependability and efficiency. Feasibility of dispersed generation integration & its effect on sub-transmission system operation were investigated using Ben Walied 66 kV sub-transmission network in Libya as a state. This study presents modified particle swarm optimization (MOPSO) technique to select the best option with dispersed generation units under various operating conditions. The Ben Walied 66 kV sub-transmission network has been subject of effects research on both normal operation and load growth scenarios. The goal of this study was to find best way to adjust penetration level of the three DGs in response to changes in the network loading. Three DG units have been refitted to study the effects on test networks for sub-transmission, which consist of 30 and 51 buses. A comparison analysis shows that while the ideal locations of DG units remain constant with load expansion, the optimal solution for the penetration level percentage of three DG units was boosted by new optimal sizes. Research has been done on how the power factor of distributed generators (DGs) affects the practical performance of 66 kV networks in steady-state conditions. The integration of DG units in regulating these losses and voltage variations is demonstrated by the results, which indicate that the ideal solution for DG unit’s power factor was at a value of 0.87 lagging.
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Research ethics: Not applicable.
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Author contributions: A.S.S: Drafting, Result Analysis; A.Y.A: Result analysis, Proof Checking; M.A.A: Drafting; P.R: Result Analysis, Proof Checking.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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Articles in the same Issue
- Frontmatter
- Research Articles
- Improving islanded distribution system stability with adaptive decision-making framework
- Sensorless control method of induction motors with new feedback gain matrix and speed adaptive law for low speed range
- An improved CB-DPWM strategy with NP voltage balance and switching loss reduction for 3-L NPC converter
- Single-ended protection scheme for three-terminal hybrid DC transmission system based on refractive coefficients
- Long-distance transmission conductor condition sensing based on distributed fiber optic sensing technology
- Data integrity cyber-attack mitigation using linear quadratic regulator based load frequency control in hybrid power system
- Investigation of DG units influence on 66 kV sub-transmission system network considering region load growth: a case study
- Influence of increasing Integration of Solar photovoltaic on Small Signal and Transient stability of Nigeria Power System
- Implementation of SOC-based power management algorithm in a grid-connected microgrid with hybrid energy storage devices
- Experimental studies on insulating oils for power transformer applications
- Power distribution system restoration based on soft open points and islanding by distributed generations
- Power coordination and control of DC Microgrid with PV and hybrid energy storage system
- An investigation on NGR failure in Indian smart cities while replacing the existing overhead lines by underground cables
