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dc.contributor.author
Mo, Huadong
dc.contributor.author
Sansavini, Giovanni
dc.date.accessioned
2020-09-10T13:45:55Z
dc.date.available
2020-09-04T20:22:16Z
dc.date.available
2020-09-10T13:45:55Z
dc.date.issued
2021-01
dc.identifier.issn
0307-904X
dc.identifier.issn
1872-8480
dc.identifier.other
10.1016/j.apm.2020.07.026
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/438662
dc.description.abstract
© 2020 Elsevier Inc. The use of an open communication network in a wide-area power system (WAPS) introduces random delays into the transmission of frequency measurements and control signals, which can deteriorate the load frequency control (LFC) performance. Current studies are focusing on developing a suitable delay margin controller to maintain the stability of the WAPS. This paper introduces a new Smith predictor (SP) with tools to accurately predict the input time delays and consequently mitigate the LFC performance loss caused by unreliable communication. The time delays are predicted via the discrete hidden Markov model (DHMM) and the exponentially weighted moving average (EWMA) model. The predicted delays are then input to the SP. The DHMM adopts two different scalar quantization methods, i.e., the uniform technique and the K-means clustering technique. It then maps the time delays on to a discrete observational space. To validate the findings for practical applications, we conduct a case study on a test platform, namely a single-area WAPS with Ethernet, which is implemented via the Truetime simulator. The results indicate that the SP is more effective in eliminating load disturbances and enhancing the robustness against time delays than existing delay-margin-based controllers. The K-means DHMM-based SP achieved better LFC performance than the one with the EWMA. The stability of the LFC system with time-varying delay is discussed using a Lyapunov–Krasovskii-based delay-dependent criterion and the small gain theorem.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.title
Hidden Markov model-based smith predictor for the mitigation of the impact of communication delays in wide-area power systems
en_US
dc.type
Journal Article
dc.date.published
2020-08-07
ethz.journal.title
Applied mathematical modelling
ethz.journal.volume
89
en_US
ethz.journal.abbreviated
Appl. math. model. (Print)
ethz.pages.start
19
en_US
ethz.pages.end
48
en_US
ethz.size
30 p.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02668 - Inst. f. Energie- und Verfahrenstechnik / Inst. Energy and Process Engineering::09452 - Sansavini, Giovanni / Sansavini, Giovanni
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02668 - Inst. f. Energie- und Verfahrenstechnik / Inst. Energy and Process Engineering::09452 - Sansavini, Giovanni / Sansavini, Giovanni
ethz.date.deposited
2020-09-04T20:23:18Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-09-10T13:46:08Z
ethz.rosetta.lastUpdated
2021-02-15T17:09:17Z
ethz.rosetta.versionExported
true
ethz.COinS
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