Analytics and optimization for renewable energy integration /

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration. The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy...

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Bibliographic Details
Main Authors: Zhang, Ning (Author)
Group Author: Kang, Chongqing; Du, Ershun; Wang, Yi
Published: CRC Press,
Publisher Address: Boca Raton, FL :
Publication Dates: [2019]
Literature type: Book
Language: English
Series: Energy analytics
Subjects:
Summary: The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration. The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Carrier Form: xxii, 371 pages : illustrations ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9781138316829
1138316822
Index Number: TJ808
CLC: TK01
Call Number: TK01/Z633