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DTSTAMP:20190117T155826
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SUMMARY:Talk of Prof. Lucy Pao
DESCRIPTION:Prof. Lucy Pao &nbsp;\nElectrical, Computer, and Energy Engineering Department\nUniversity of Colorado at Boulder, CO, USA\n\n&nbsp; \nTuesday 2017-05-09 16:00\n IST-Seminar-Room 2.268 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen&nbsp; \nAbstract&nbsp; \nFor wind farm control, the current practice in industry is that every turbine has its own wind\nturbine controller that optimizes its own performance in terms of power output, structural load\nmitigation, and/or reference tracking. However, this does not lead to optimal performance at the\nwind farm level due to the interactions among the wind turbines through the wakes that are\ngenerated while the turbines are in operation. In this talk, we will present a closed-loop wind\nfarm control framework for the Active Power Control (APC) problem. APC can be used to balance the\ntotal power generated by wind farms with the power consumed on the electricity grid. With the\nincreasing penetration levels of wind energy, there is a growing need for this ancillary service.\nIn this talk, we show that the tracking of power reference signals provided by the transmission\nsystem operator (TSO) can be noticeably improved by using feedback control at the wind farm level.\nWe propose a simple feedback control law that significantly improves the tracking behaviour of the\ntotal power output of the farm, resulting in higher performance scores. The effectiveness of the\nproposed feedback controller is demonstrated using high fidelity computational fluid dynamics\nsimulations of a small wind farm. We shall close by discussing continuing challenges and on-going\nand future research avenues that can further facilitate the growth of wind energy.&nbsp; \n&nbsp;&nbsp;&nbsp;\n&nbsp;&nbsp;\nBiographical Information&nbsp; \nFor wind farm control, the current practice in industry is that every turbine has its own wind\nturbine controller that optimizes its own performance in terms of power output, structural load\nmitigation, and/or reference tracking. However, this does not lead to optimal performance at the\nwind farm level due to the interactions among the wind turbines through the wakes that are\ngenerated while the turbines are in operation. In this talk, we will present a closed-loop wind\nfarm control framework for the Active Power Control (APC) problem. APC can be used to balance the\ntotal power generated by wind farms with the power consumed on the electricity grid. With the\nincreasing penetration levels of wind energy, there is a growing need for this ancillary service.\nIn this talk, we show that the tracking of power reference signals provided by the transmission\nsystem operator (TSO) can be noticeably improved by using feedback control at the wind farm level.\nWe propose a simple feedback control law that significantly improves the tracking behaviour of the\ntotal power output of the farm, resulting in higher performance scores. The effectiveness of the\nproposed feedback controller is demonstrated using high fidelity computational fluid dynamics\nsimulations of a small wind farm. We shall close by discussing continuing challenges and on-going\nand future research avenues that can further facilitate the growth of wind energy.\n&nbsp;&nbsp;&nbsp; \n\n&nbsp;&nbsp;
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20170509
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof.-Lucy-Pao/
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