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

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 disturbanc...

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Main Authors: Gian Paramo, Arturo Bretas
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/11/4530
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author Gian Paramo
Arturo Bretas
author_facet Gian Paramo
Arturo Bretas
author_sort Gian Paramo
collection DOAJ
description 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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spelling doaj.art-af1544c26c9e47829d504f363df96d7a2023-11-18T07:50:02ZengMDPI AGEnergies1996-10732023-06-011611453010.3390/en16114530Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and SynchrophasorsGian Paramo0Arturo Bretas1Department of Electrical & Computer Engineering, University of Florida, Gainesville, FL 32608, USADepartment of Electrical & Computer Engineering, University of Florida, Gainesville, FL 32608, USAThe 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.https://www.mdpi.com/1996-1073/16/11/4530frequency stabilityparticle filterphasor measurement unitspower systems
spellingShingle Gian Paramo
Arturo Bretas
Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors
Energies
frequency stability
particle filter
phasor measurement units
power systems
title Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors
title_full Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors
title_fullStr Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors
title_full_unstemmed Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors
title_short Proactive Frequency Stability Scheme: A Distributed Framework Based on Particle Filters and Synchrophasors
title_sort proactive frequency stability scheme a distributed framework based on particle filters and synchrophasors
topic frequency stability
particle filter
phasor measurement units
power systems
url https://www.mdpi.com/1996-1073/16/11/4530
work_keys_str_mv AT gianparamo proactivefrequencystabilityschemeadistributedframeworkbasedonparticlefiltersandsynchrophasors
AT arturobretas proactivefrequencystabilityschemeadistributedframeworkbasedonparticlefiltersandsynchrophasors