Farid Khazaeli Moghadam
Om
Min teoretiske og eksperimentelle forskning mottar støtte fra Norges Forskningsråd i prosjektet CONWIND: Research on smart operation control technologies for offshore wind farms (stipend nr. 304229), og prosjektet ONLINEPROP: Torsional vibration measurements for online monitoring of ship propulsion system (stipend nr. 331655). Nedenfor diskuterer jeg mer detaljert mine viktigste forskningsaktiviteter:
- Kraftbehovet til fremtidige vindparker kan endres raskt for å forbedre nettstøttefunksjonen. Effektinnstillingspunktet til individuelle turbiner bør varieres på en måte å ta hensyn til turbulente vindsvingninger. Sistnevnte vil ujevnt påvirke utmattelsesskaden til kraftoverføringssystemet til forskjellige vindturbiner på forskjellige steder i vindpark. Ulike tilnærminger for å forbedre vindparksporingskontrollen er undersøkt som gjør man i stand til å imøtekomme skader på kraftoverføringssystemet i tillegg til å minimere vindparkens referanseeffektsporingsfeil.
- Modellering av fremtidens desentraliserte kraftsystemer og analyser av de dynamiske interaksjonene mellom kraftsystemet og kraftoverføringssystemet til vindturbiner gjøres ved å ta hensyn til den interne dynamikken til giroverføringssystem, generator og kraftomformersystem. Påvirkningen av nye styringsstrategier i vindturbiners kraftomformere på kraftsystemet lokalområde og intraområdesvingninger undersøkes. Konsekvensene for raskere forringelse av kraftoverføringssystemet og strømkvalitet til kraftsystemet studeres. Ulike aktive og passive løsninger foreslås for å forbedre den generelle ytelsen.
- Eksperimentelt teste muligheten for å bruke torsjonsvibrasjoner i elektromekaniske systemer med torsjonsdynamikk for å estimere systemets dynamiske egenskaper (naturlig frekvens, demping, modusform), eksitasjonsfrekvenser (komponentdefektfrekvenser og eksterne eksitasjonsfrekvenser), ekvivalente modellparametre (stivhet og treghet til komponentene). Sistnevnte mater algoritmene som kan tilby mer nøyaktig og raskere feildiagnose og prognose ved å bruke en nesten sanntids digital tvillingmodell av systemet.
Publikasjoner
2024
-
Khazaeli Moghadam, Farid;
Gao, Zhen;
Chabaud, Valentin Bruno;
Chapaloglou, Spyridon.
(2024)
Yaw misalignment in powertrain degradation modeling for wind farm control in curtailed conditions.
Frontiers in Energy Research
Vitenskapelig artikkel
2023
-
Khazaeli Moghadam, Farid;
Desch, Nils.
(2023)
Life Cycle Assessment of Various PMSG-Based Drivetrain Concepts for 15 MW Offshore Wind Turbines Application.
Energies
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Chabaud, Valentin Bruno;
Gao, Zhen;
Chapaloglou, Spyridon.
(2023)
Power train degradation modelling for multi-objective active power control of wind farms.
Forschung im Ingenieurwesen
Vitenskapelig artikkel
2022
-
Nejad, Amir R.;
Keller, Jonathan ;
Guo, Yi;
Sheng, Shawn;
Polinder, Henk;
Watson, Simon.
(2022)
Wind turbine drivetrains: state-of-the-art technologies
and future development trends.
Wind Energy Science
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Vrana, Til Kristian.
(2022)
Wind power plant grid-forming control and influences on
the power train and power system oscillation.
Institution of Engineering and Technology (IET)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021
-
Khazaeli Moghadam, Farid;
Nejad, Amir R..
(2021)
Vibration-Based Condition Monitoring of Drivetrains in Large Offshore Wind Turbines in a Digital Twin Perspective.
Norwegian University of Science and Technology
Doktorgradsavhandling
-
Khazaeli Moghadam, Farid;
Nejad, Amir R..
(2021)
Online condition monitoring of floating wind turbines drivetrain by means of digital twin.
Mechanical systems and signal processing
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Rebouças, G. F. S.;
Nejad, Amir R..
(2021)
Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains
.
Forschung im Ingenieurwesen
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Nejad, Amir R..
(2021)
Theoretical and experimental study of wind turbine drivetrain fault diagnosis by using torsional vibrations and modal estimation.
Journal of Sound and Vibration
Vitenskapelig artikkel
2020
-
Khazaeli Moghadam, Farid;
Rasekhi Nejad, Amir.
(2020)
Natural frequency estimation by using torsional response, and applications for wind turbine drivetrain fault diagnosis
.
Journal of Physics: Conference Series (JPCS)
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Rasekhi Nejad, Amir.
(2020)
Evaluation of PMSG-based drivetrain technologies for 10 MW floating offshore wind turbines: pros and cons in a life-cycle perspective.
Wind Energy
Vitenskapelig artikkel
2019
-
Khazaeli Moghadam, Farid;
Rasekhi Nejad, Amir.
(2019)
Experimental Validation of Angular Velocity Measurements for Wind Turbines Drivetrain Condition Monitoring.
The American Society of Mechanical Engineers (ASME)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Tidsskriftspublikasjoner
-
Khazaeli Moghadam, Farid;
Gao, Zhen;
Chabaud, Valentin Bruno;
Chapaloglou, Spyridon.
(2024)
Yaw misalignment in powertrain degradation modeling for wind farm control in curtailed conditions.
Frontiers in Energy Research
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Desch, Nils.
(2023)
Life Cycle Assessment of Various PMSG-Based Drivetrain Concepts for 15 MW Offshore Wind Turbines Application.
Energies
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Chabaud, Valentin Bruno;
Gao, Zhen;
Chapaloglou, Spyridon.
(2023)
Power train degradation modelling for multi-objective active power control of wind farms.
Forschung im Ingenieurwesen
Vitenskapelig artikkel
-
Nejad, Amir R.;
Keller, Jonathan ;
Guo, Yi;
Sheng, Shawn;
Polinder, Henk;
Watson, Simon.
(2022)
Wind turbine drivetrains: state-of-the-art technologies
and future development trends.
Wind Energy Science
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Nejad, Amir R..
(2021)
Online condition monitoring of floating wind turbines drivetrain by means of digital twin.
Mechanical systems and signal processing
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Rebouças, G. F. S.;
Nejad, Amir R..
(2021)
Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains
.
Forschung im Ingenieurwesen
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Nejad, Amir R..
(2021)
Theoretical and experimental study of wind turbine drivetrain fault diagnosis by using torsional vibrations and modal estimation.
Journal of Sound and Vibration
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Rasekhi Nejad, Amir.
(2020)
Natural frequency estimation by using torsional response, and applications for wind turbine drivetrain fault diagnosis
.
Journal of Physics: Conference Series (JPCS)
Vitenskapelig artikkel
-
Khazaeli Moghadam, Farid;
Rasekhi Nejad, Amir.
(2020)
Evaluation of PMSG-based drivetrain technologies for 10 MW floating offshore wind turbines: pros and cons in a life-cycle perspective.
Wind Energy
Vitenskapelig artikkel
Del av bok/rapport
-
Khazaeli Moghadam, Farid;
Vrana, Til Kristian.
(2022)
Wind power plant grid-forming control and influences on
the power train and power system oscillation.
Institution of Engineering and Technology (IET)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Khazaeli Moghadam, Farid;
Rasekhi Nejad, Amir.
(2019)
Experimental Validation of Angular Velocity Measurements for Wind Turbines Drivetrain Condition Monitoring.
The American Society of Mechanical Engineers (ASME)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Rapport
-
Khazaeli Moghadam, Farid;
Nejad, Amir R..
(2021)
Vibration-Based Condition Monitoring of Drivetrains in Large Offshore Wind Turbines in a Digital Twin Perspective.
Norwegian University of Science and Technology
Doktorgradsavhandling
Formidling
2023
-
Vitenskapelig foredragKhazaeli Moghadam, Farid; Gao, Zhen. (2023) The Influence of wake steering on the degradation of power train in offshore wind turbines, and the database approach to accommodate it in the farm control. DeepWind Conference 2023 2023-01-18 - 2023-01-20
2022
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Vitenskapelig foredragChabaud, Valentin Bruno; Khazaeli Moghadam, Farid; Nejad, Amir R.. (2022) Effect of tracking grid power command on drivetrain degradation – A multiscale farm control problem. EERA DeepWind'2022 conference , Trondheim 2022-01-19 - 2022-01-21
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Vitenskapelig foredragKhazaeli Moghadam, Farid; Vrana, Til Kristian. (2022) Wind power plant grid-forming control and influences on the power train and power system oscillations. IET - Institution of Engineering and Technology The 11th International Conference on Renewable Power Generation , London 2022-09-22 - 2022-09-23
2021
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Vitenskapelig foredragKhazaeli Moghadam, Farid; Nejad, Amir R.. (2021) Consequences of unequal droop control on degradation of next generation grid-forming wind turbines. ForWind Wind Energy Science Conference 2021 , Hannover, Germany 2021-05-25 - 2021-05-28
2019
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Vitenskapelig foredragKhazaeli Moghadam, Farid; Rasekhi Nejad, Amir. (2019) Experimental Validation of Angular Velocity Measurements for Wind Turbines Drivetrain Condition Monitoring. ASME 2019 2nd International Offshore Wind Technical Conference (IOWTC2019) 2019-11-03 - 2019-11-06
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Vitenskapelig foredragKhazaeli Moghadam, Farid; Rasekhi Nejad, Amir. (2019) Drivetrain technology trend in multi megawatt offshore wind turbines considering design, fabrication, installation and operation. EERA DeepWind 2019 conference 2019-01-16 - 2019-01-18
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PosterKhazaeli Moghadam, Farid; Rasekhi Nejad, Amir. (2019) Drivetrain fault detection of multi-megawatt offshore wind turbines by statistical learning. WindEurope Offshore 2019 2019-11-26 - 2019-11-28