Monitoring of wind turbine generator systems

Acronym: MONGS
Project ID: ERA 80
Funding including national funding and EC funding:
Total costs: 220,390 SEE-ERA.NET PLUS funding: 139,270
Project duration: 01.11.2010 / 31.07.2012

Summary:
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. In the proposed project the operation of wind turbines will be investigated to identify possible fault indicators based only on the sensors already available in the power inverter. The research will cover 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. The project objectives are thus: (1) To research and develop a wind turbine generator monitoring system based on commercially available measurements of state variables. (2) To research and develop a fault-tolerant extension of the wind turbine control system, that in case of identified faults adapts control actions to (i) protect the generator and other wind turbine components, and (ii) to keep the electrical energy production optimal under emergency circumstances.

Partners involved:

Vienna University of Technology
Department of Energy Systems and Electrical Drives
Gusshausstrasse 25/370-2
1040 Vienna, Austria
Prof. Thomas Wolbank thomas.wolbank@tuwien.ac.at

University of Zagreb
Faculty of Electrical Engineering and Computing
Unska 3
10000 Zagreb, Croatia
Prof. Mario Vasak mario.vasak@fer.hr

ETF, University of Montenegro
University of Montenegro, Department of Electrical Engineering
George Washington boulevard b.b.
81000 Podgorica, Montenegro
Prof. Gojko Joksimovic joxo@ac.me