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Journal : international journal of electrical engineering and intelligent computing

Symbiotic Organism Search Based on Sensitivity Factor for Optimal Location and Sizing of Distributed Generation Iswan Iswan; Umar Umar; M Natsir Rahman; Suparman Suparman; Muhammad Said; Faris Syamsuddin; Dharmawan Dharmawan; Andi Syarifuddin
International Journal Of Electrical Engineering and Inteligent Computing Vol 3 No 1 December (2025): International Journal Of Electrical Engineering And Intelligent Computin
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v3i1.9716

Abstract

The technology of Distributed Generations (DGs) has attracted the focus of researchers and engineers over the past two decades as an effective solution to address power quality and supply issues for customers. Determining the optimal locations and sizes for DGs remains a significant challenge. This study explores the optimization of DG placement and sizing to reduce power losses in radial distribution systems. The Loss Sensitivity Factor (LSF) is used to identify suitable locations for DGs, while Symbiotic Organisms Search (SOS) is utilized to determine their capacities. Simulation results using three DGs on the IEEE 33-bus distribution system indicate that this approach can reduce active power losses by 67.66%.
Comparative Performance Analysis of VANET Routing Protocols under Dynamic Node Mobility Fahrizal Djohar; Hafid Syaifuddin; Dharmawan Dharmawan
International Journal Of Electrical Engineering and Inteligent Computing Vol 2 No 2 June (2025): International Journal Of Electrical Engineering And Intelligent Computing
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/ijeeic.v2i2.10058

Abstract

Vehicular Ad Hoc Networks (VANETs) face significant challenges in maintaining reliable communication due to high node mobility and frequent topology changes. This study evaluates the throughput performance of two routing protocols—one proactive and one reactive—under varying speed scenarios using the NS-3 simulator. Simulations were conducted in an area with node speeds set at 10 m/s (36 km/h) and 20 m/s (72 km/h). NetAnim was used to visualize node movement and routing behavior. The results show that the reactive protocol outperforms the proactive protocol in high-mobility scenarios by maintaining higher throughput and reducing routing overhead. These findings highlight the importance of selecting routing protocols that adapt effectively to different mobility conditions in VANETs, contributing to the design of more efficient vehicular communication systems.