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), Kang, Chongqing (Author), Du, Ershun (Author), Wang, Yi (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2019.
Series:Energy analytics.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
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.
Physical Description:1 online resource (xxii, 371 pages) : illustrations (chiefly color)
Bibliography:Includes bibliographical references and index.
ISBN:9780429847707
042984770X
9780429455094
0429455097
9780429847691
0429847696
9780429847684
0429847688