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Record Nr. |
UNINA9910253977603321 |
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Autore |
Ding Tao |
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Titolo |
Power System Operation with Large Scale Stochastic Wind Power Integration : Interval Arithmetic Based Analysis and Optimization Methods / / by Tao Ding |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XVII, 217 p. 70 illus., 64 illus. in color.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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Soggetti |
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Renewable energy resources |
Energy systems |
Mathematical optimization |
Energy policy |
Renewable and Green Energy |
Energy Systems |
Optimization |
Energy Policy, Economics and Management |
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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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"Doctoral Thesis accepted by Tsinghua University, Beijing, China." |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Introduction -- Mathematics for Interval Algebra and Optimization -- The Research and Application of Interval Power Flow -- Interval Economic Dispatch and The Tackling of Infeasible Model -- Robust Interval Economic Dispatch and The Price of Robustness -- Acceleration Strategies for Large-scale Economic Dispatch Models -- Conclusions and Prospects. |
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Sommario/riassunto |
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This book addresses the uncertainties of wind power modeled as interval numbers and assesses the physical modeling and methods for interval power flow, interval economic dispatch and interval robust economic dispatch. In particular, the optimization models are set up to address these topics and the state-of-the-art methods are employed to efficiently solve the proposed models. Several standard IEEE test systems as well as real-world large-scale Polish power systems have been tested to verify the effectiveness of the proposed models and |
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