Stochastic Optimization In Energy Systems PDF Books

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Stochastic Optimization For Distributed Energy Resources In Smart Grids

Stochastic Optimization In Energy Systems
Author: Yuanxiong Guo
Publisher: Springer
ISBN: 3319595296
Size: 10.91 MB
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This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.
Stochastic Optimization for Distributed Energy Resources in Smart Grids
Language: en
Pages: 76
Authors: Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
Categories: Computers
Type: BOOK - Published: 2017-06-21 - Publisher: Springer
This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical
Optimization in Renewable Energy Systems
Language: en
Pages: 326
Authors: Ozan Erdinc
Categories: Technology & Engineering
Type: BOOK - Published: 2017-02-25 - Publisher: Butterworth-Heinemann
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to
Optimization in the Energy Industry
Language: en
Pages: 534
Authors: Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt
Categories: Mathematics
Type: BOOK - Published: 2008-12-25 - Publisher: Springer Science & Business Media
This book offers a broad, in-depth overview that reflects the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry.
Advances in Energy System Optimization
Language: en
Pages: 178
Authors: Valentin Bertsch, Armin Ardone, Wolf Fichtner, Michael Suriyah, Vincent Heuveline, Thomas Leibfried
Categories: Commerce
Type: BOOK - Published: 2019-01-01 - Publisher: Springer Nature
The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most
Robust Optimization in Electric Energy Systems
Language: en
Pages:
Authors: Xu Andy Sun
Categories: Commerce
Type: BOOK - Published: - Publisher: Springer Nature
Books about Robust Optimization in Electric Energy Systems
Stochastic Optimization Methods in Finance and Energy
Language: en
Pages: 476
Authors: Marida Bertocchi, Giorgio Consigli, Michael A. H. Dempster
Categories: Business & Economics
Type: BOOK - Published: 2011-09-15 - Publisher: Springer Science & Business Media
This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. The invited authors represent a group of scientists and practitioners, who cooperated in recent years to facilitate the growing penetration of stochastic
Energy Optimization in Process Systems
Language: en
Pages: 768
Authors: Stanislaw Sieniutycz, Jacek Jezowski
Categories: Science
Type: BOOK - Published: 2009-05-06 - Publisher: Elsevier
Despite the vast research on energy optimization and process integration, there has to date been no synthesis linking these together. This book fills the gap, presenting optimization and integration in energy and process engineering. The content is based on the current literature and includes novel approaches developed by the authors.
Stochastic Optimization in Energy Systems
Language: en
Pages: 300
Authors: Steffen Rebennack, Josef Kallrath
Categories: Technology & Engineering
Type: BOOK - Published: 2016-09-07 - Publisher: Springer Vieweg
This book provides an overview on stochastic optimization and its application in the Energy Industry. Special focus is given on hydro-thermal scheduling and, more generally, storage systems. The book begins by illuminating several approaches to deal with uncertainties (e.g., robust optimization, chance-constraints, stochastic optimization) and discusses their relations, advantages and
Stochastic and Robust Optimal Operation of Energy-efficient Building with Combined Heat and Power Systems
Language: en
Pages: 147
Authors: Ping Liu
Categories: Technology & Engineering
Type: BOOK - Published: 2014 - Publisher:
Energy efficiency and renewable energy become more attractive in smart grid. In order to efficiently reduce global energy usage in building energy systems and to improve local environmental sustainability, it is essential to optimize the operation and the performance of combined heat and power (CHP) systems. In addition, intermittent renewable
Application of Modern Heuristic Optimization Methods in Power and Energy Systems
Language: en
Pages: 864
Authors: Kwang Y. Lee, Zita Vale
Categories: Science
Type: BOOK - Published: 2020-05-05 - Publisher: John Wiley & Sons
Reviews state-of-the-art technologies in modern heuristic optimization techniques and presents case studies showing how they have been applied in complex power and energy systems problems Written by a team of international experts, this book describes the use of metaheuristic applications in the analysis and design of electric power systems. This