Reliability estimation with uncertainties consideration for high power IGBTs in 2.3MW wind turbine converter system

Kostandyan, Erik; Ma, Ke

doi:10.1016/j.microrel.2012.06.152

Cited by 35 publications

(34 citation statements)

References 7 publications

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“…ω t is varied via T g , which is carried out using directquadrature-zero current (I dq0 ) control applied to the MSC. relationship between I q and T g in the generator (11). I d is maintained at 0A [25].…”

Section: Turbine Controlmentioning

confidence: 99%

Impact of wind conditions on thermal loading of PMSG wind turbine power converters

Smith¹,

Crabtree²,

Matthews³

2016

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. 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 paper addresses this using a 2MW direct-drive PMSG wind turbine model with a 2-level converter, and simulating junction temperatures (T j ) 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 ∆T j becomes, demonstrating that low turbulence sites have greater thermal variation in the converter. In contrast, wind speed variations with frequencies greater than 0.25Hz deliver only small increases in ∆T j . It is concluded that reasonable approximations of T j profiles can be made with 0.25Hz wind speed data, but that lower data rate wind measurements miss essential, damaging characteristics.

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Section: Turbine Controlmentioning

confidence: 99%

Impact of wind conditions on thermal loading of PMSG wind turbine power converters

Smith¹,

Crabtree²,

Matthews³

2016

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

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“…The reliability of modular converter [64] was modeled and analyzed based on a Markov modeling approach. The lifetime of high power IGBTs (insulated gate bipolar transistors) [65,66] in large wind turbine applications was assessed by means of First Order Reliability Method. A reliability analysis of the least reliable component of the power conditioning system [67] of such grid connection arrangements was presented.…”

Section: Simulations For Reliabilitymentioning

confidence: 99%

“…Rotor:Simulation of fatigue failure [35][36][37][38], Prediction of damage progression [39][40][41][42], failure analysis of composite beam [43][44][45] Drivetrain: gear contact failure analysis [46,47], the failure of shear pins connecting gearbox [48] Support structure: the damage model differentiated in tension and compression [49,50]; performed long-term fatigue analysis of welded multi-planar tubular joints [51]; a Fragility analysis of steel and concrete wind turbine towers [52][53][54] Rotor: probabilistic model [55,56];reliability for failure modes [57]; probabilistic framework for design [58,59]; Drivetrain: first-order reliability method based on multibody simulation for gearbox [47,[60][61][62]; Support structure: framework that combined efficient dynamic response models and probabilistic assessment tools [63]; Electronic components: reliability of modular converter [64], high power IGBTs (insulated gate bipolar transistors) [65,66], power conditioning system [67];…”

Section: Failure Analysis Condition Monitoring and Fault Diagnosismentioning

confidence: 99%

System safety analysis of large wind turbines

Jin

Zhang

et al. 2016

Renewable and Sustainable Energy Reviews

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“…Birk and Andresen [8] investigated the benefits of using a six parallel-connected converter system for the new GAMESA 4.5 MW wind turbines (www.gamesacorp.com); Ng et al [9] considered a multi-level modular power converter for a transformer-less wind energy conversion system; Spinato et al [10] performed a survey of more than 600 modern onshore wind turbines and their reliability issues with generators, gearboxes, and converters; Zhu et al [11] proposed a systematic method to evaluate the reliability of power converter system based on FMEA 1 , reliability test design and worst-case shock simulation; Blaabjerg et al [12] provided an overview of different power electronic converters in wind turbine systems with special attention paid to their reliability issues; Xie [13] investigated the effect of wind speed on the reliability of wind turbine power converter system. Kostandyan and Ma [14] proposed deterministic and probabilistic damage models to estimate the lifetime of high power IGBTs 2 (as the most critical components in power converter system).…”

Section: A Reliability Analysis Of Wind Turbine Power Convertersmentioning

confidence: 99%

A redundancy optimization model applied to offshore wind turbine power converters

Shafiee

Patriksson

Strömberg

et al. 2013

2013 IEEE Grenoble Conference

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Unexpected failures, high operation and maintenance (O&M) cost, and low accessibility are critical issues for offshore wind farms. According to existing statistics, power converters are among the most critical components in offshore wind turbines, and suffer from a high failure rate. One efficient way to improve the reliability and availability of the converter system is by adding at least one independent redundant converter, which ensures that the system would still operate in case of a converter failure. However, the redundant converters will increase the system's cost, volume, and weight. In this paper, we propose a cost-rate minimization model aiming to simultaneously determine the optimal allocation of redundant converters and the optimal number of the converters that are allowed to fail before sending a maintenance crew to the offshore platform. The optimal solution under three system-level constraints is derived, and the conditions required to make using a redundant converter system beneficial are discussed. Finally, the proposed model has been tested on data collected from an offshore wind farm database, and the results are compared with a conventional wind turbine converter system.

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Reliability estimation with uncertainties consideration for high power IGBTs in 2.3MW wind turbine converter system

Cited by 35 publications

References 7 publications

Impact of wind conditions on thermal loading of PMSG wind turbine power converters

Impact of wind conditions on thermal loading of PMSG wind turbine power converters

System safety analysis of large wind turbines

A redundancy optimization model applied to offshore wind turbine power converters

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