| Abstract: |
The advanced power systems trends, which are becoming increasingly complex and scale in nature, have made it necessary to develop automation frameworks with high-performance and confidence for real-time monitoring, control, and protection. The current work is an empirical investigation of the use, performance and effect of automation enabled technology, namely Supervisory Control and Data Acquisition (SCADA), Phasor Measurement Units (PMU), Intelligent Electronic Devices (IED), Energy Management Systems (EMS), and AI/ML algorithms in contemporary electrical power infrastructure. We collected data over a time a period from 2018–2023 from six geographically distributed power system zones across three continents. Through statistical analysis like ANOVA, regression modeling and comparative benchmarking, integrated automation shows improved performance in fault detection time (mean=42 ms) and increased reliability of the system (SAIDI reduction=45.8%) with up to 56.4% lower technical energy losses compared to conventional systems. The paper also benchmarks these results against existing work to validate performance improvements. |
