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.
Read more
1. Introduction
2. Day-ahead energy management of IES with distributionally robust approach
3. Distributionally robust heat-and-electricity pricing for IES with decision dependent uncertainties
4. Multi-level coordinated energy management for IES in hybrid markets
5. Energy management based on multi-agent deep reinforcement learning for IES
6. Stochastic multi-energy management schemes with deferrable loads
7. Energy trading for multiple IESs
Read more
Overviews systematic methods that address uncertainties in integrated energy systems, including 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
Read more
Product details
ISBN
9780443141225
Published
2023-09-12
Publisher
Vendor
Elsevier - Health Sciences Division
Weight
450 gr
Height
229 mm
Width
152 mm
Age
P, 06
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
250