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Design of a SCADA-Based Monitoring Framework for Frequency and Power Quality in an Automatic Transfer Switch (ATS) System: A Case Study of the Automation Laboratory, Politeknik Negeri Manado
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 107 |
| Year of Publication: 2026 |
| Authors: Michael Andreas Ponto, Henry Nathanael Pesik, Iron Tabuni, Marson James Budiman |
10.5120/ijca0142acc7a7bf
|
Michael Andreas Ponto, Henry Nathanael Pesik, Iron Tabuni, Marson James Budiman . Design of a SCADA-Based Monitoring Framework for Frequency and Power Quality in an Automatic Transfer Switch (ATS) System: A Case Study of the Automation Laboratory, Politeknik Negeri Manado. International Journal of Computer Applications. 187, 107 ( May 2026), 48-54. DOI=10.5120/ijca0142acc7a7bf
Abstract
Reliable electricity is essential for both industrial operations and engineering education, yet most Automatic Transfer Switch (ATS) panels in small-scale facilities still operate as opaque devices that expose only binary status indicators. This paper proposes a Supervisory Control and Data Acquisition (SCADA)-based monitoring framework that turns the ATS panel in the Automation Laboratory of the Department of Electrical Engineering, Politeknik Negeri Manado, into a transparent and measurable system. The framework integrates a three-phase digital power-quality meter, a programmable logic controller (PLC), and a SCADA human-machine interface (HMI) communicating through Modbus TCP/IP. Monitored quantities include voltage, current, frequency, total harmonic distortion (THD), power factor, and active/reactive power on both Power Line Network (PLN) and genset sources. Because the physical installation is still in preparation, the framework is evaluated using a simulation-based model covering six representative disturbance scenarios: PLN outage, frequency deviation, voltage sag, harmonic injection, voltage swell, and three-phase voltage unbalance. The results show that the architecture detects disturbances within sub-second time frames, achieves an average detection accuracy above 96 percent across the tested scenarios, and visualizes power-quality indicators in compliance with IEEE 519 and IEC 61000-4-30. Beyond its technical contribution, the design offers a reproducible and low-cost platform that bridges classroom instruction and industrial practice, and it provides a foundation for future hardware implementation and integration with cloud-based energy management.
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