eBook - ePub
Optimal Operation of Integrated Energy Systems Under Uncertainties
Distributionally Robust and Stochastic Methods
- 248 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Optimal Operation of Integrated Energy Systems Under Uncertainties
Distributionally Robust and Stochastic Methods
About this book
Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Models discusses new solutions to the rapidly emerging concerns surrounding energy usage and environmental deterioration. Integrated energy systems (IESs) are acknowledged to be a promising approach to increasing the efficiency of energy utilization by exploiting complementary (alternative) energy sources and storages. IESs show favorable performance for improving the penetration of renewable energy sources (RESs) and accelerating low-carbon transition. However, as more renewables penetrate the energy system, their highly uncertain characteristics challenge the system, with significant impacts on safety and economic issues.
To this end, this book provides systematic methods to address the aggravating uncertainties in IESs from two aspects: distributionally robust optimization and online operation.
- Presents energy scheduling, considering power, gas, and carbon markets concurrently based on distributionally robust optimization methods
- Helps readers design day-ahead scheduling schemes, considering both decision-dependent uncertainties and decision-independent uncertainties for IES
- Covers online scheduling and energy auctions by stochastic optimization methods
- Includes analytic results given to measure the performance gap between real performance and ideal performance
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Yes, you can access Optimal Operation of Integrated Energy Systems Under Uncertainties by Bo Yang,Zhaojian Wang,Xinping Guan in PDF and/or ePUB format, as well as other popular books in Business & Energy Industry. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Optimal Operation of Integrated Energy Systems Under Uncertainties
- Chapter 1 Introduction
- Chapter 2 Day-ahead energy management of IES with a distributionally robust approach
- Chapter 3 Distributionally robust heat-and-electricity pricing for IES with decision-dependent uncertainties
- Chapter 4 Multi-level coordinated energy management for IES in hybrid markets
- Chapter 5 Energy management based on multi-agent deep reinforcement learning for IES
- Chapter 6 Stochastic multi-energy management schemes with deferrable loads
- Chapter 7 Joint design of energy trading and energy management for multiple IESs
- Appendix A Optimization methods
- Index