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Record Nr. |
UNINA9910253987703321 |
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Autore |
Jiang John N |
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Titolo |
Control and Operation of Grid-Connected Wind Farms : Major Issues, Contemporary Solutions, and Open Challenges / / by John N. Jiang, Choon Yik Tang, Rama G. Ramakumar |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (146 p.) |
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Collana |
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Advances in Industrial Control, , 1430-9491 |
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Disciplina |
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Soggetti |
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Renewable energy resources |
Automatic control |
Renewable and Green Energy |
Control and Systems Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Reconfigurable Wind Turbine Control Technology -- Voltage Regulation in Normal Operating Conditions -- Voltage Control During Contingencies -- Quick Frequency Response During Contingencies -- Coordinated Operation -- Wind-Farm Control 1 -- Wind-Farm Control 2 -- Concluding Remarks. |
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Sommario/riassunto |
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From the point of view of grid integration and operation, this monograph advances the subject of wind energy control from the individual-unit to the wind-farm level. The basic objectives and requirements for successful integration of wind energy with existing power grids are discussed, followed by an overview of the state of the art, proposed solutions and challenges yet to be resolved. At the individual-turbine level, a nonlinear controller based on feedback linearization, uncertainty estimation and gradient-based optimization is shown robustly to control both active and reactive power outputs of variable-speed turbines with doubly-fed induction generators. Heuristic coordination of the output of a wind farm, represented by a single equivalent turbine with energy storage to optimize and smooth the active power output is presented. A generic approximate model of wind turbine control developed using system identification techniques |
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