Conference programme

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Friday, 20 November 2015
09:30 - 11:00 Innovative design and validation tools
Turbine technology  
Onshore      Offshore    


Room: Montmartre

Guidelines to optimize design processes in terms of cost and time-to-market while ensuring necessary standards when variants are introduced, during early stages of new concepts and as the industry moves to larger turbines.

  • Progress on smart rotor control using sensing strategies for optimal design
  • Probabilistic design framework to quantify uncertainties and reduce risk in design
  • New approach to validation of simulation models for grid studies to deliver variants earlier and economically
  • Time benefits through novel dual axis fatigue testing of blades

Learning objectives

  • Delegates will take away guidelines for the optimal design of smart rotor systems
  • Delegates will be able to implement a probabilistic design method enabling assessment of which uncertainties have most influence on overall COE
  • Delegates will be able to propose a feasible alternative to traditional validation with field measurement data
  • Delegates will be able  to advocate optimized dual axis fatigue testing of blades
Lead Session Chair:
Michaela O'Donohoe, Adwen, Spain
Peter Jamieson, University of Strathclyde, United Kingdom
Hans Dürr Senvion SE, Germany
Co-authors:
Hans Dürr (1) F Adnan Osmanbasic (1)
(1) Senvion SE, Osterrönfeld, Germany

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

Hans Dürr has experience in developing simulation models for electromechanical systems for almost 15 years. He is currently working as model developer for grid models at Senvion SE. He studied electrical engineering with focus on automation at the Technical University of Munich. During his professional career he worked in development of electromechanical systems such as test-benches in automotive and aerospace industry. Before joining Senvion he worked as application engineer at MathWorks, known for their numerical computation and simulation software MATLAB and Simulink.

Abstract

New validation method of models for grid studies

Introduction

The validation of wind turbine simulation models for grid-studies is demanded by grid operators, wind farm operators and certifiers.
The traditional validation method is conducted by a comparison of simulation results with field measurements.
The disadvantages of the traditional method are high costs and long time to delivery, dependence on environmental conditions, as well as difficult reproducibility due to the different prototype versions and changing weather conditions. However, the comparison with measurements is state of the art and not easy to replace.
For validating component variants, or new turbine designs in an early design phase, models with certain properties can be used for generating reference data in order to enable manufacturers to deliver validated models earlier, more economically and with reproducible results.


Approach

Beside the grid models to be delivered to the external requestors, an additional simulation model, called reference model, has been developed at Senvion. This reference model serves as a source of reference data for validation of simulation models.

Main body of abstract

In order to produce adequately accurate results, the reference model must comprehend all relevant turbine parts, which have a significant effect on transient active and reactive power behavior. This has to be considered for both validating RMS- and EMT-models.
The reference model includes the most detailed, available representations of the wind turbine components, which can be reasonably combined in a single simulation model. It consists of a combination of:
• The aeroelasticity model of Senvion
• The wind turbine controller of Senvion, containing the original control algorithms
• The electrical model of the Senvion wind turbines, containing their power system components like generator, transformer and other power electronics, for the calculation of instantaneous values
• The supplier’s model of the converter controller. This model contains the original converter-control algorithm and calculates with instantaneous values
Although the mentioned model components exist in different simulation platforms, the simulations are carried out in Simulink as co-simulation.
All mentioned model components have been validated separately already prior to the development of the reference model in order to meet internal quality standards and external requirements.
The combination of detailed model components, such as described above, is a new approach for Senvion. To gain confidence in this approach, available field measurement data was taken to validate the reference model against a small number of turbine types and variants.
The reference model has already proven its capability for generating reference data for the validation of an RMS-model within a major customer project. The model represented a turbine variant of a Senvion 6.2M126. The model, belonging to the original turbine has been validated and even certified with field-measurement data. The tolerances to be met in this project were defined by the technical guideline FGW-TR4 for SDLWindV.
The use of this approach was previously agreed with the customer.


Conclusion

The use of models with comprehensive details regarding grid-relevant functions is a feasible alternative to traditional validation with field measurement data. This approach is well suited for projects which deal with completely new turbine designs or variants of existing turbines.
A greater acceptance of this approach, also at grid operators and certifiers, could help to accelerate model-validations and deliver validated models earlier to customers.



Learning objectives
Validation with reference data not necessarily requires expensive field-measurements. In accordance with customers or certifiers, reference data can be obtained by simulations with comprehensive models.