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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Yes, you can access Analytics and Optimization for Renewable Energy Integration by Ning Zhang, Chongqing Kang, Ershun Du, Yi Wang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2019

ISBN

9780429847691

Edition

Topic

Technology & Engineering

Subtopic

Electrical Engineering & Telecommunications

Index

Technology & Engineering

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
List of Abbreviations
I Mathematical Foundations
II Uncertainty Modeling and Analytics
III Short-Term Operation Optimization
IV Long-Term Planning Optimization
Index