Stochastic Optimization In Energy Systems

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Stochastic Optimization In Energy Systems

Stochastic Optimization In Energy Systems
Author: Steffen Rebennack
Publisher: Springer Vieweg
ISBN: 9783834816078
Size: 62.92 MB
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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 disadvantages. Special focus is given on GAMS coded examples and the usage of the GAMS software. The book is very suitable for courses in business schools, system engineering, applied mathematics, operations research and energy producing industry.
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
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.
Stochastic Integer Optimization and Applications in Energy Systems
Language: en
Pages:
Authors: Qipeng Zheng
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher:
In addition, this dissertation considers risk control in these models by including probabilistic constraints, such as a limit on CVaR (Conditional Value at Risk). In order to solve the large-scale problems, especially those with large numbers of scenarios, the embedded Benders decomposition algorithm is applied to tackle the discrete subproblems.
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
Advances in Energy System Optimization
Language: en
Pages: 245
Authors: Valentin Bertsch, Wolf Fichtner, Vincent Heuveline, Thomas Leibfried
Categories: Mathematics
Type: BOOK - Published: 2017-03-16 - Publisher: Springer
The papers presented in this volume address diverse challenges in 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. The International Symposium on Energy
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
Stochastic Optimization for Distributed Energy Resources in Smart Grids
Language: en
Pages: 82
Authors: Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
Categories: Computers
Type: BOOK - Published: 2017-07-14 - 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
Temporal Resolution in Energy Systems Optimization Models
Language: en
Pages:
Authors: Holger Christian Philipp Teichgraeber
Categories: Computers
Type: BOOK - Published: 2020 - Publisher:
The electricity sector will play an important role in the transition to a more sustainable energy system. In order to reduce the sector's carbon dioxide emissions, renewable energy is becoming more and more significant. Because renewable energy is time-varying and non-dispatchable, it requires high temporal modeling resolution. However, energy system
Integrating Renewables in Electricity Markets
Language: en
Pages: 429
Authors: Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
Categories: Business & Economics
Type: BOOK - Published: 2013-12-03 - Publisher: Springer Science & Business Media
This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units. As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by
Optimisation Models and Methods in Energy Systems
Language: en
Pages: 182
Authors: Carlos Henggeler Antunes
Categories: Technology & Engineering
Type: BOOK - Published: 2019-08-06 - Publisher: MDPI
This book is a printed edition of the Special Issue Optimisation Models and Methods in Energy Systems that was published in Energies