Transmission System and Offshore Wind Farms: Challenges and Chances

Dicorato, Maria; Forte, Giuseppe; Trovato, M.; Carlini, Enrico Maria; Aluisio, Benedetto; Gadaleta, Corrado; Migliori, Michela

doi:10.1109/efea.2018.8617052

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…UE to restriction on land space and wind energy sources, large-scale offshore wind farms are deployed far from the main power nodes. Large-capacity and long-distance offshore wind power transmission is dominating the wind energy system [1]. When the transmission distance is longer than 90 km (common in offshore wind farms), the high-voltage direct current (HVDC) transmission is more economical and reliable than AC transmission [2].…”

Section: Introductionmentioning

confidence: 99%

Sub-Synchronous Oscillation Characteristics and Analysis of Direct-Drive Wind Farms With VSC-HVDC Systems

Shao

Zhao

Yang

et al. 2021

IEEE Trans. Sustain. Energy

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Field experiences have shown that sub-synchronous oscillations (SSOs) can occur in direct-drive wind farms with VSC-HVDC (DDWFV) systems. In light of this, a dynamic mathematical model of the DDWFV is established in this paper.The SSO characteristics are analyzed through the eigenvalue method. Considering the participation factor, the analysis reveals that the SSO is mainly affected by the grid-side converter controller of the wind turbine units, the rectifier controller of the VSC-HVDC and certain system parameters. The impact of system parameters on the damping performance and frequency characteristics of the SSO is further explored. By separating the VSC-HVDC into three parts, the impact of the control characteristics and the AC-side elements characteristics of the VSC-HVDC on the SSO is discussed. New insights into the SSO issue are also offered by analyzing the interaction among various state variables. The theoretical analysis is verified by extensive time-domain simulations.

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Section: Introductionmentioning

confidence: 99%

Sub-Synchronous Oscillation Characteristics and Analysis of Direct-Drive Wind Farms With VSC-HVDC Systems

Shao

Zhao

Yang

et al. 2021

IEEE Trans. Sustain. Energy

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“…Wind power is a growth point in the following decades due to the abundant reserves of deep-sea wind resources [1], [2]. However, Deep-sea-offshore Wind turbine Transmission Line (DWTL) is usually the submarine cable.…”

Section: Introductionmentioning

confidence: 99%

WRC-SDT Based On-Line Detection Method for Offshore Wind Farm Transmission Line

Wang¹,

Gao²,

Liu³

et al. 2020

IEEE Access

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Transmission line fault detection is a complex, high-cost and time-consuming work for deep-sea offshore wind farms. Therefore, rapid intelligent on-line fault detection and classification of submarine transmission lines play a very important role in the offshore wind farm reliability improving and operating costs reduction. This paper presents a novel hybrid on-line detection method that combines Wavelet noise Reduction, Clarke transform, Stockwell transform and Decision Tree (WRC-SDT). First, the measured Wind Turbine (WT) voltage signals are processed through wavelet noise reduction and Clarke transform to get the gradient of the voltage component. The gradient of the voltage component is then monitored in order to detect faults. Second, the recorded WT current date are processed through Stockwell transform with a view to obtaining the transmission line fault eigenvalues. The fault eigenvalues are then taken as the input of decision tree in order to classify different types of faults. To verify the feasibility and performance of the proposed method, the comparison of a detection and classification result is presented based on more than 1600 fault simulation data. The results show that WRC-SDT method is immune to fault resistance, starting angle and location. The proposed method is also robust to measurement noise. INDEX TERMS Clarke transform, transmission line, fault detection, fault classification, Stockwell transform, offshore wind turbine.

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