Institute of Energy Systems and Electrical Drives, Department of Electrical Drives and Machines
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Welcome to the webpage of the project "MONGS" financed by SEE-ERA.NET PLUS.


MONGS

Monitoring of Wind Turbine Generator Systems


In this project the operation of wind turbines is investigated to identify possible fault indicators based only on the sensors already available in the power inverter. The research covers the whole electrical power conversion process: from the control algorithms for optimal adaptation to dynamic changing wind speeds to considerations on how the system energy efficiency is reduced by emerging fault conditions of different components and to a practical verification of the detection system on a reduced scale generator system.

In the past years renewable energy sources like wind energy have gained much attention due to global warming and the scheduled reduction of CO2 emissions. To keep the efficiency of the energy conversion process of wind turbines at or near its optimum value all system components have to be continuously monitored. The most critical and vulnerable components are the gearbox as well as different generator components like windings or bearings. On-line fault detection of inverter controlled generators and mechanical components are usually based on special sensor systems and evaluation instruments which makes these systems expensive and thus usually not profitable in wind turbines. The classical approaches of online condition monitoring methods like current signature analysis are not applicable as the dynamic operation, pulse width modulation and the switching transients of the power electronics devices add additional harmonics and measurement noise to all sensor signals.



The project is focused on three topics:


  • Wind turbine control in cases of identified generator faults

To research objectives and constraints for wind turbine control law design in case of faults which effectively reduce space in operating maps where wind turbine operation is possible. Wind turbine fault-tolerant control design and validation.


  • Investigation of rotor bar defects

Identification of broken rotor bar effects on machine/inverter state variables. Clarification of influence of this fault on overall system efficiency. Investigation of additional stress on neighbouring parts of the bar due to its crack together with possibilities to reduce additional stress to allow fault-tolerant control.


  • Investigation of stator winding isolation faults

Identifying effects of an inter-turn short circuit on state variables of the system. Clarify possible influence of this type of fault on the overall system efficiency. Highlight additional stress on fault location due to circulating current together with possibilities to reduce additional stress for fault-tolerant control.


Project Participants:

CO-ORDINATOR:
Vienna University of Technology
Faculty of Electrical Engineering and Information Tecnology
Institute of Energy Systems and Electrical Drives  E370/2
Gußhausstraße 25-29, 1040 Wien
Contact: thomas.wolbank@tuwien.ac.at
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PARTNER:
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering
Unska 3, HR 10000
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PARTNER:
University of Montenegro
Faculty of Electrical Engineering
Department of Electrical Engineering
George Washington boulevard b.b., MG 81000 Podgorica


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INDUSTRY PARTNER:
ELIN Motoren GmbH 
Elin-Motoren-Straße 1
8160 Preding/Weiz, Austria


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INDUSTRY PARTNER:
KONČAR – Electrical Engineering Institute, Inc. 
Fallerovo šetalište 22 
HR-10002 Zagreb, Croatia


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Project research activities are published as scientific papers on conferences and/or journals

Links will be activated after Publication

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Project Dissemination Activities

Workshop and Presentations

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