Data-Driven Evaluation of Power Quality in Hospital Electrical Systems: Case Study of University of Lampung, Indonesia

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 12

Year of Publication : 2025

Authors : Gigih Forda Nama, Dikpride Despa, Tugiyono, Satria Bangsawan

10.14445/23488379/IJEEE-V12I12P108

How to Cite?

Gigih Forda Nama, Dikpride Despa, Tugiyono, Satria Bangsawan, "Data-Driven Evaluation of Power Quality in Hospital Electrical Systems: Case Study of University of Lampung, Indonesia," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 12, pp. 104-116, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I12P108

Abstract:

Reliability and continuity of electrical power supply are increasingly being recognized as essential for the effective functioning of contemporary healthcare services. Poor Power Quality (PQ) events can reduce the clinical usefulness of medical devices and jeopardize patient health, as well as incur high operating costs. This article reports an extensive PQ analysis at the University of Lampung Hospital (a health and academic services provider) in Indonesia. The research makes use of high-sampling-rate electrical datasets from four sets of data acquired on the Main Distribution Panel (MDP) in the hospital. Important PQ parameters, such as three-phase voltage and current, frequency, power factor, Voltage Unbalance Ratio (VUR), and Total Harmonic Distortion (THD), are systematically calculated. The approach is based on international norms and references for definitions (IEEE 1159), measurement methods (IEC 61000-4-30), and limits compliance (IEEE 519). The findings show stable voltage and frequency characteristics as expected from a good grid service utility. However, PQ problems of importance were observed in the internal distribution system of the hospital, such as voltage level imbalance lasting for longer than permitted in the standard (10%) and current harmonic distortion that was very high, which the Total Demand Distortion (TDD) surpassed many times over the IEEE 519 recommended values for hospitals. A somewhat lagging power factor was noted (indicating quite some loss in electrical efficiency). The present study offers a valuable empirical baseline and quantification of PQ challenges at an important healthcare facility in the planned University of Lampung Hospital. The results emphasize the risks of uncontrolled non-linear loads and confirm the importance of focused measures for load harmonization, such as active harmonic filtering systems and implementation of load equalization plans, which improve the quality, security, and efficiency of power supply in the hospital. For a real-time Internet of Things (IoT) monitoring application, according to the data from question 1, there is a strong positive correlation between electricity consumption and building operation schedule. Weekdays (Monday-Friday, 6:30 AM to 5:30 PM) always have the largest number of peak current loads, with a sharp decrease during weekends. Even though differences in phase were small, the mean voltage was just within the nominal limits.

Keywords:

Power Quality, Hospital Electrical Systems, Harmonic Distortion, Voltage Unbalance, Power Factor.

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