Ebook: Analytics and optimization for renewable energy integration
Author: Du Ershun, Kang Chongqing, Wang Yi, Zhang Ning
- Tags: Renewable resource integration, Renewable energy sources, TECHNOLOGY & ENGINEERING / Mechanical, SCIENCE / Energy, TECHNOLOGY / Electricity
- Series: Energy analytics
- Year: 2019
- Publisher: CRC Press
- City: Boca Raton, FL
- Language: English
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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 Read more...
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