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ANALYSIS AN EXTRA-HIGH VOLTAGE TRANSMISSION LINE INTEGRATED WITH ZIGBEE SENSOR NETWORK Pakka, Hariani Ma'tang; Masa, M. Anas; Syarifuddin, Andi; Al Ghamdi, Ahmed Saeed; Suyuti, Saidah
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 1 Januari (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.1.1-9

Abstract

The abundance and variety of sensor nodes in intelligent transmission lines make them unique and distinguishable. These nodes are essential components of the system, providing valuable data and information that enable efficient and effective communication. Intelligent transmission lines are characterized by their abundance and diverse range of sensor nodes. Comparing and analyzing performance metrics for star, tree, and mesh networks with the same attribute configuration includes application layer end-to-end latency and MAC layer throughput. By utilizing the ZigBee protocol in conjunction with OPNET, this is accomplished via the modeling and simulation of a wireless sensor network structure for intelligent transmission lines. An extra-high voltage transmission line that integrates multiple embedded sensing nodes was equipped with an appropriate ZigBee wireless network architecture. Following the integration of the tower's scenarios and results simulation of OPNET, the compatibility between mesh and ZigBee wireless network topology of the transmission lines, comprising several embedded sensing nodes, has been confirmed.
Enhanced Detection of High Impedance Faults in Smart Distribution Networks Using Differential Energy Indicators Syarifuddin, Andi; salmiah, salmiah; Masa, M. Anas; Syahrul, Syahrul; Nurul, Nurul; Pakka, Hariani Ma’tang
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 2 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i2.9397

Abstract

The detection of high impedance faults (HIFs) plays a crucial role in modern active distribution systems to prevent risks like equipment failures, fire incidents, and disruptions in service, while maintaining a stable power supply. HIFs are challenging to detect due to their low-magnitude and fluctuating fault currents, often falling below the detection thresholds of conventional protection mechanisms. These undetected faults can result in significant safety hazards, economic losses, and compromised system reliability. This study presents an enhanced HIF detection method leveraging differential energy indicators derived from positive-sequence current components during fault events. The proposed approach improves fault detection accuracy and discriminates HIFs from nonfault transients, including load switching, capacitor switching, and nonlinear load effects. The method was validated through simulations on adapted IEEE-13 and IEEE-34 bus systems distribution networks with high distributed generation (DG) penetration. Results demonstrated faster response times (