Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors

Paramo, Gian; Bretas, Arturo

doi:10.3390/en16114530

Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors

Journal Article · Mon Jun 05 00:00:00 EDT 2023 · Energies

DOI:https://doi.org/10.3390/en16114530· OSTI ID:1983986

Paramo, Gian;

The reactive nature of traditional under-frequency load shedding schemes can lead to delayed response and unnecessary loss of load. This work presents a proactive framework for power system frequency stability. Bayesian filters and synchrophasors are leveraged to produce predictions after disturbances are detected. By being able to estimate the future state of frequency corrective actions can be taken before the system reaches a critical condition. This proactive approach makes it possible to optimize the response to a disturbance, which results in a decrease in the amount of compensation utilized. The framework is tested via Matlab simulations based on Kundur’s Two-Area System, and the IEEE 14-Bus System. Performance metrics are provided and evaluated against other contemporary solutions found in literature. During testing this framework outperformed other solutions by drastically reducing the amount of load dropped during compensation.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1983986

Alternate ID(s):: OSTI ID: 1983935

Journal Information:: Energies, Journal Name: Energies Journal Issue: 11 Vol. 16; ISSN 1996-1073; ISSN ENERGA

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

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