Abstract

Power converter reliability is critical for permanent magnet synchronous generator (PMSG) wind turbines. Converter failures are linked to power module thermal loading but studies often neglect turbine dynamics, control and the impact of wind speed sampling rate on lifetime estimation. This study addresses this using a 2 MW direct-drive PMSG wind turbine model with a two-level converter, and simulating junction temperatures (Tj) using a power module thermal equivalent circuit under various synthetic wind speed conditions. These synthetic wind conditions include constant and square wave profiles representing stable and gusty wind conditions. Responses to square wave wind speeds showed that the lower the gust frequency, the higher ΔTj becomes, demonstrating that low turbulence sites have greater thermal variation in the converter. In contrast, wind speed variations with frequencies >0.25 Hz deliver only small increases in ΔTj. It is concluded that reasonable approximations of Tj profiles can be made with 0.25 Hz wind speed data, but that lower data rate wind measurements miss essential, damaging characteristics.

Highlights

  • To meet EU renewable energy targets for 2020 and beyond, the Levelised Cost of Energy (LCoE) of offshore wind must be reduced to below £100/MWh [1]

  • A more focused study on turbine type [4] found that the failure rate of fully-rated converters (FRC) in permanent magnet synchronous generator (PMSG) turbines was 0.593 failures/turbine/year compared to 0.106 failures/turbine/year for partially-rated converters in doubly fed induction generator (DFIG) turbines

  • Some studies neglect the impact of wind turbine dynamics and control, so wind speed inputs are directly converted into a Tj [7,8,9], Content may change prior to final publication in an issue of the journal

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Summary

Introduction

To meet EU renewable energy targets for 2020 and beyond, the Levelised Cost of Energy (LCoE) of offshore wind must be reduced to below £100/MWh [1]. Operation and maintenance (O&M) accounts for approximately 30% of the LCoE [2]. A key aspect of O&M is turbine sub-system reliability. By understanding which components have the greatest impact on downtime and power production, O&M resources can be focused to minimise turbine disruption and reduce the LCoE of offshore wind

Wind Turbine Power Converter Reliability
Power Converter Reliability Studies
Research Contributions
Approach
Drive Train Model
Turbine Power Extraction
Drive Train Dynamics
Generator
Turbine Control
Drive Train Model Summary
Converter Power Loss Model
Conduction Losses
Thermal Loss Model
Wind Speed Inputs
Results and Discussion
Constant Wind Speeds
Study Comparison
Response to Varying Wind Speed input
Conclusions
Full Text
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