Proactive Frequency Stability Scheme via Bayesian Filters and Synchrophasors

Conference · Thu Aug 17 04:00:00 EDT 2023

DOI:https://doi.org/10.1109/KPEC58008.2023.10215435· OSTI ID:1996331

Paramo, Gian ^[1]; Bretas, Arturo Suman ^[2]

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1. University of Florida
2. BATTELLE (PACIFIC NW LAB)

Underfrequency (UF) load shedding schemes are traditionally implemented in two ways: One approach is based on manual load shedding, with system operators requesting loads to be shed ahead of anticipated stressful operating conditions. Manual load shedding is usually done through phone calls. The second method is automatic load shedding via underfrequency relays. Using static static settings, these schemes can be designed to operate in stages and drop previously identified loads. The main limitation of traditional load shedding schemes is that they are reactive and leave little room for optimized corrective actions. This work presents a proactive and automatic underfrequency load shedding solution for power systems. Measurements are captured via phasor measurement units (PMUs) at relatively low sampling rates of 30 Hz. These measurements are then processed by particle filters who predict the future state of the system's frequency. Based on these predictions excess load is determined and shed. Comparative case studies are performed in simulated environments. Easy-to-implement models, without hard-to-derive parameters, highlight potential aspects for real-life implementation.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1996331
• Report Number(s): PNNL-SA-178722
• Country of Publication: United States
• Language: English