Hardware-in-the-Loop Wind Turbine Simulation Platform for a Laboratory Feeder Model
As part of a larger project to build a laboratory-based smart grid feeder, there was a need to incorporate renewable energy sources into the feeder model. The goal in this project was to create a hardware-in-the-loop (HIL) wind turbine simulation platform. Software is used to calculate a dynamic opt...
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Published in | IEEE transactions on sustainable energy Vol. 5; no. 3; pp. 1003 - 1009 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.07.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | As part of a larger project to build a laboratory-based smart grid feeder, there was a need to incorporate renewable energy sources into the feeder model. The goal in this project was to create a hardware-in-the-loop (HIL) wind turbine simulation platform. Software is used to calculate a dynamic optimal power point from time-series wind speed data and to generate control signals for the platform's hardware. The hardware consists of a dc motor providing mechanical power to a coupled generator. To validate the HIL simulation platform, time-series wind speed and output power data were used from an installed and operating utility-scale turbine. The steady-state performance of the HIL simulator correlates well with the provided manufacturer's curve, but the dynamic performance of the system is more varied with periods of excellent correlation as well as poor. A richer data set from the utility containing more than wind speed and power output (such as wind direction and turbine yaw position) could provide substantial improvements to the dynamic performance. |
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AbstractList | As part of a larger project to build a laboratory-based smart grid feeder, there was a need to incorporate renewable energy sources into the feeder model. The goal in this project was to create a hardware-in-the-loop (HIL) wind turbine simulation platform. Software is used to calculate a dynamic optimal power point from time-series wind speed data and to generate control signals for the platform's hardware. The hardware consists of a dc motor providing mechanical power to a coupled generator. To validate the HIL simulation platform, time-series wind speed and output power data were used from an installed and operating utility-scale turbine. The steady-state performance of the HIL simulator correlates well with the provided manufacturer's curve, but the dynamic performance of the system is more varied with periods of excellent correlation as well as poor. A richer data set from the utility containing more than wind speed and power output (such as wind direction and turbine yaw position) could provide substantial improvements to the dynamic performance. As part of a larger project to build a laboratory-based smart grid feeder, there was a need to incorporate renewable energy sources into the feeder model. The goal in this project was to create a hardware-in-the-loop (HIL) wind turbine simulation platform. Software is used to calculate a dynamic optimal power point from time-series wind speed data and to generate control signals for the platfor's hardware. The hardware consists of a dc motor providing mechanical power to a coupled generator. To validate the HIL simulation platform, time-series wind speed and output power data were used from an installed and operating utility-scale turbine. The steady-state performance of the HIL simulator correlates well with the provided manufacturer's curve, but the dynamic performance of the system is more varied with periods of excellent correlation as well as poor. A richer data set from the utility containing more than wind speed and power output (such as wind direction and turbine yaw position) could provide substantial improvements to the dynamic performance. |
Author | Jewell, Ward Hardy, Trevor |
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Cites_doi | 10.1109/CCECE.2006.277633 10.1109/APEC.2001.911713 10.1109/WNWEC.2009.5335825 10.1049/cp.2011.0196 10.1109/ICELMACH.2010.5608319 10.1109/TEC.2003.811727 10.1109/ENERGYCON.2010.5771738 10.1109/SUPERGEN.2009.5348169 10.1109/PESC.2007.4342101 10.1109/TEC.2004.832070 10.1109/TEC.2010.2042218 10.1109/IECON.2007.4460277 10.1109/POWERENG.2009.4915230 10.1109/POWERCON.2010.5666052 10.1109/ICELCE.2010.5700651 10.1002/0470012684 10.1109/ICIT.2004.1490352 10.1109/ICIEA.2007.4318881 |
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References | ref13 song (ref16) 2005; 3 ref12 ref23 ref15 ref14 neammanee (ref17) 2007; 8 ref20 ref11 ref22 ref21 ref2 sadara (ref10) 0 ref19 liu (ref24) 0 ref8 ref7 ref9 clark (ref18) 2010 ref4 ref3 ref6 ref5 hardy (ref1) 0 |
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SubjectTerms | Blades Computer simulation Control systems DC motors Dynamical systems Dynamics Feeders Generators Hardware Hardware-in-the-loop simulation Platforms real-time systems simulation Software wind energy wind power generation Wind speed Wind turbines |
Title | Hardware-in-the-Loop Wind Turbine Simulation Platform for a Laboratory Feeder Model |
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