Evaluation of SPLU (Stasiun Pengisian Listrik Umum) Energy Efficiency Based on Consumption Data and Distribution System Losses Simulation

Authors

  • Bintang Rahmansyah Universitas Negeri Surabaya
  • Wahyu Sasongko Putro Universitas Negeri Surabaya

DOI:

https://doi.org/10.59188/jurnalsostech.v6i9.32992

Keywords:

SPLU, Energy Efficiency, Distribution System Losses, I²R, Matlab Simulation, Feeder Length

Abstract

The rapid expansion of electric charging stations (Stasiun Pengisian Listrik Umum [SPLUs]) presents challenges for distribution system efficiency because high charging currents and extended feeder lengths can increase power losses. This study aimed to evaluate SPLU energy efficiency, quantify distribution system losses, and identify operational limitations based on load current and feeder length. A quantitative approach was applied by combining analytical calculations using the I²R loss equation with MATLAB R2025b time-domain simulations. A single-phase circuit was evaluated under 16 scenarios involving feeder lengths of 1, 3, 5, and 10 km and load currents of 10, 20, 32, and 50 A. Analytical and simulation results were compared using percentage error analysis. The simulation results showed an average error of 0.025%, demonstrating consistency with the analytical model. Power losses increased quadratically with load current and linearly with feeder length. System efficiency ranged from 98.908% in the 1 km–10 A scenario to 45.418% in the 10 km–50 A scenario. Efficiency decreased below the 90% operational threshold when feeder lengths exceeded 3 km at currents above 20 A. These findings confirmed that the interaction between load current and feeder length was the primary determinant of SPLU efficiency. Therefore, SPLUs should be installed near distribution substations, while current limitations and larger conductor sizes should be considered for longer feeders.

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Published

2026-09-26

How to Cite

Rahmansyah, B., & Putro, W. S. (2026). Evaluation of SPLU (Stasiun Pengisian Listrik Umum) Energy Efficiency Based on Consumption Data and Distribution System Losses Simulation. Jurnal Sosial Teknologi, 6(9), 3047–3057. https://doi.org/10.59188/jurnalsostech.v6i9.32992