2023
DOI: 10.3390/en16114530
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Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors

Abstract: 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 resp… Show more

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Cited by 5 publications
(4 citation statements)
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“…In simulation based testing the method presented in this paper was able to stabilize the system while shedding 25% to 50% less load than the PCFbased technique. These results are consistent with the results obtained in [23].…”
Section: Polynomial Curve Fittingsupporting
confidence: 94%
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“…In simulation based testing the method presented in this paper was able to stabilize the system while shedding 25% to 50% less load than the PCFbased technique. These results are consistent with the results obtained in [23].…”
Section: Polynomial Curve Fittingsupporting
confidence: 94%
“…Two advantages of the PF compared to other filtering techniques are that the PF is not limited to Gaussian distributions. The PF also offers inherit uncertainty quantification [23]. The PF estimates an underlying probability distribution via samples called particles.…”
Section: A Particle Filtermentioning
confidence: 99%
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“…These causes may involve a reactive power imbalance with excessive reactive power levels within an AC grid [2]. Apart from this, significant load shedding can provoke over-voltages and may even imply voltage instability [3]. Furthermore, harmonics, resonances, switching operations and faults may lead to the amplification of voltage levels due to non-linear loads, power electronic devices, insulation failures or ground faults, among others [4][5][6].…”
Section: Introductionmentioning
confidence: 99%