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Analytics And Optimization For Renewable Energy Integration Du

  • SKU: BELL-10501756
Analytics And Optimization For Renewable Energy Integration Du
$ 31.00 $ 45.00 (-31%)

5.0

88 reviews

Analytics And Optimization For Renewable Energy Integration Du instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 28.75 MB
Pages: 371
Author: Du, Ershun; Kang, Chongqing; Wang, Yi; Zhang, Ning
ISBN: 9780429455094, 9780429847684, 9780429847691, 9780429847707, 0429455097, 0429847688, 0429847696, 042984770X
Language: English
Year: 2019

Product desciption

Analytics And Optimization For Renewable Energy Integration Du by Du, Ershun; Kang, Chongqing; Wang, Yi; Zhang, Ning 9780429455094, 9780429847684, 9780429847691, 9780429847707, 0429455097, 0429847688, 0429847696, 042984770X instant download after payment.

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. 
Abstract: 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

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