BoYang,ZhaojianWang,XinpingGuan
Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Methods
Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Methods
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Excellent- More about Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Methods
This book discusses new solutions to the rapidly emerging concerns surrounding energy usage and environmental deterioration. It provides systematic methods to address the aggravating uncertainties in IESs from two aspects: distributionally robust optimization and online operation.
Format: Paperback / softback
Length: 250 pages
Publication date: 12 September 2023
Publisher: Elsevier - Health Sciences Division
Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Models delves into innovative solutions addressing the pressing concerns surrounding energy consumption and environmental degradation. Integrated energy systems (IESs) are recognized as a promising avenue to enhance energy efficiency by harnessing complementary (alternative) energy sources and storage. IESs exhibit favorable performance in improving the penetration of renewable energy sources (RESs) and expediting the low-carbon transition. Nevertheless, as the integration of more renewables into the energy system increases, their highly uncertain characteristics pose significant challenges to the system, exerting substantial impacts on safety and economic aspects. In response to this challenge, this book offers comprehensive methodologies to mitigate the exacerbating uncertainties in IESs from two perspectives: distributionally robust optimization and online operation.
Distributionally Robust Optimization:
Distributionally robust optimization is a methodology that aims to enhance the resilience and stability of IESs against uncertainties. It involves designing optimization algorithms that can handle diverse operating conditions and disturbances while maintaining system performance. By incorporating distributionally robust techniques, IESs can better withstand the impact of extreme events, such as power outages, renewable energy variability, and demand fluctuations.
Online Operation:
Online operation refers to the real-time management and control of IESs. It involves the use of advanced sensors, data analytics, and control algorithms to optimize energy production, consumption, and storage. By continuously monitoring and adapting the system's operations, online operation enables IESs to respond quickly to changing conditions, ensuring optimal energy utilization and minimizing energy waste.
Conclusion:
Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Models provides valuable insights into addressing the uncertainties associated with integrating renewable energy sources into the energy system. By employing distributionally robust optimization and online operation, IESs can enhance their resilience, stability, and efficiency, contributing to a more sustainable and resilient energy future.
Weight: 450g
Dimension: 229 x 152 (mm)
ISBN-13: 9780443141225
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