Ahmad Yani, Junaidi
This study addresses the issue of reactive power management in industrial facilities, particularly focusing on the implementation of capacitor banks to enhance the power factor. The objective is to investigate the optimal reactive power compensation using a genetic algorithm, which provides an efficient solution to reduce fines imposed by electricity providers due to low power factor levels. A case study is conducted on a typical industrial setup with an AC load of 380 V, 50 Hz, and 500 kW where the average power factor was recorded at 0.7. By employing the genetic algorithm for optimization, the power factor was improved to 0.93. The methodology involved analyzing the relationship between AC load current and reactive power, confirming that the load current is inversely proportional to the power factor, while reactive power is directly proportional to the current. The results demonstrate a significant decrease in both the current and reactive power, indicating that the application of genetic algorithms can successfully determine the optimal configuration for reactive power compensation in industrial applications. Overall, this research provides valuable insights into power factor improvement strategies for enhanced electrical efficiency in industries.
@article{e9b12de0-eb9a-46a0-af08-55ad63c0b778,
title={Optimum reactive power to improve power},
author={Ahmad Yani and Junaidi},
year={2026},
language={en}
}TY - JOUR TI - Optimum reactive power to improve power AU - Ahmad Yani AU - Junaidi PY - 2026 LA - en ER -
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