Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability

In this paper, a new systematic method is proposed to analyze the system frequency in power systems under uncertain variability (UV). UV gradually increases in power systems, which originates from the renewable energy generation, random loads, frequency measurement, and communication channels, exert...

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Published in:IEEE Transactions on Power Systems
Main Authors: Li, Hongyu, Ju, Ping, Gan, Chun, You, Shutang, Wu, Feng, Liu, Yilu
Language:unknown
Published: 2021
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1523763
https://www.osti.gov/biblio/1523763
https://doi.org/10.1109/TPWRS.2018.2873410
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spelling ftosti:oai:osti.gov:1523763 2023-07-30T04:04:25+02:00 Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability Li, Hongyu Ju, Ping Gan, Chun You, Shutang Wu, Feng Liu, Yilu 2021-07-30 application/pdf http://www.osti.gov/servlets/purl/1523763 https://www.osti.gov/biblio/1523763 https://doi.org/10.1109/TPWRS.2018.2873410 unknown http://www.osti.gov/servlets/purl/1523763 https://www.osti.gov/biblio/1523763 https://doi.org/10.1109/TPWRS.2018.2873410 doi:10.1109/TPWRS.2018.2873410 42 ENGINEERING 2021 ftosti https://doi.org/10.1109/TPWRS.2018.2873410 2023-07-11T09:33:50Z In this paper, a new systematic method is proposed to analyze the system frequency in power systems under uncertain variability (UV). UV gradually increases in power systems, which originates from the renewable energy generation, random loads, frequency measurement, and communication channels, exerting noteworthy impacts on dynamic system frequency. The UV is modeled as a stochastic process in this paper. Then, the stochastic differential equations are used to describe the dynamic system frequency response (SFR) of a power system under UV, which is based on the SFR model. To assess system frequency dynamics under UV, an index of intra-range probability is put forward. Based on stochastic analysis theory, an analytic method is proposed to analyze the system frequency under UV, by which the intra-range probability can be analytically solved. Compared with Monte Carlo simulation in a typical SFR case and the Iceland electricity transmission network, the proposed method shows almost the same results using much less computation resource. Finally, insights for improving the SFR under UV are provided. The proposed method can be used to quickly verify whether the system frequency could withstand the UV and stay in the security range. Other/Unknown Material Iceland SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) IEEE Transactions on Power Systems 34 2 982 993
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 42 ENGINEERING
spellingShingle 42 ENGINEERING
Li, Hongyu
Ju, Ping
Gan, Chun
You, Shutang
Wu, Feng
Liu, Yilu
Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability
topic_facet 42 ENGINEERING
description In this paper, a new systematic method is proposed to analyze the system frequency in power systems under uncertain variability (UV). UV gradually increases in power systems, which originates from the renewable energy generation, random loads, frequency measurement, and communication channels, exerting noteworthy impacts on dynamic system frequency. The UV is modeled as a stochastic process in this paper. Then, the stochastic differential equations are used to describe the dynamic system frequency response (SFR) of a power system under UV, which is based on the SFR model. To assess system frequency dynamics under UV, an index of intra-range probability is put forward. Based on stochastic analysis theory, an analytic method is proposed to analyze the system frequency under UV, by which the intra-range probability can be analytically solved. Compared with Monte Carlo simulation in a typical SFR case and the Iceland electricity transmission network, the proposed method shows almost the same results using much less computation resource. Finally, insights for improving the SFR under UV are provided. The proposed method can be used to quickly verify whether the system frequency could withstand the UV and stay in the security range.
author Li, Hongyu
Ju, Ping
Gan, Chun
You, Shutang
Wu, Feng
Liu, Yilu
author_facet Li, Hongyu
Ju, Ping
Gan, Chun
You, Shutang
Wu, Feng
Liu, Yilu
author_sort Li, Hongyu
title Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability
title_short Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability
title_full Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability
title_fullStr Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability
title_full_unstemmed Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability
title_sort analytic analysis for dynamic system frequency in power systems under uncertain variability
publishDate 2021
url http://www.osti.gov/servlets/purl/1523763
https://www.osti.gov/biblio/1523763
https://doi.org/10.1109/TPWRS.2018.2873410
genre Iceland
genre_facet Iceland
op_relation http://www.osti.gov/servlets/purl/1523763
https://www.osti.gov/biblio/1523763
https://doi.org/10.1109/TPWRS.2018.2873410
doi:10.1109/TPWRS.2018.2873410
op_doi https://doi.org/10.1109/TPWRS.2018.2873410
container_title IEEE Transactions on Power Systems
container_volume 34
container_issue 2
container_start_page 982
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