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Author: Benjamin F. Hobbs
Publisher: Springer Science & Business Media
ISBN: 0306476630
Category : Business & Economics
Languages : en
Pages : 323
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Book Description
Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.
Author: Benjamin F. Hobbs
Publisher: Springer Science & Business Media
ISBN: 0306476630
Category : Business & Economics
Languages : en
Pages : 323
Get Book Here
Book Description
Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.
Author: Benjamin F. Hobbs
Publisher:
ISBN: 9781475774153
Category :
Languages : en
Pages : 332
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Book Description
Author: Yuping Huang
Publisher: Springer
ISBN: 1493967681
Category : Business & Economics
Languages : en
Pages : 98
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Book Description
This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques. The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation
Author: Endre Bjørndal
Publisher: Springer Science & Business Media
ISBN: 3642120679
Category : Business & Economics
Languages : en
Pages : 523
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Book Description
This book consists of a collection of articles describing the emergingand integrated area of Energy,Natural Resourcesand EnvironmentalEconomics.A majority of the authors are researchers doing applied work in economics, nance, and management science and are based in the Nordic countries. These countries have a long tradition of managing natural resources. Many of the applications are therefore founded on such examples. The book contents are based on a workshop that took place during May 15–16, 2008 in Bergen, Norway. The aim of the workshop was to create a meeting place for researchers who are active in the area of Energy, Natural Resource, and En- ronmentalEconomics,andat the same time celebrate ProfessorKurtJorns ̈ ten’s60th birthday. Thebookis dividedintofourparts. The rst part considerspetroleumandnatural gas applications, taking up topics ranging from the management of incomes and reserves to market modeling and value chain optimization. The second and most extensive part studies applications from electricity markets, including analyses of market prices, risk management, various optimization problems, electricity market design, and regulation. The third part describes different applications in logistics and management of natural resources. Finally, the fourth part covers more general problems and methods arising within the area.
Author: João P. S. Catalão
Publisher: CRC Press
ISBN: 1439893969
Category : Science
Languages : en
Pages : 463
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Book Description
Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling helps readers develop their skills in modeling, simulating, and optimizing electric power systems. Carefully balancing theory and practice, it presents novel, cutting-edge developments in forecasting and scheduling. The focus is on understanding and solving pivotal problems in the management of electric power generation systems. Methods for Coping with Uncertainty and Risk in Electric Power Generation Outlining real-world problems, the book begins with an overview of electric power generation systems. Since the ability to cope with uncertainty and risk is crucial for power generating companies, the second part of the book examines the latest methods and models for self-scheduling, load forecasting, short-term electricity price forecasting, and wind power forecasting. Toward Optimal Coordination between Hydro, Thermal, and Wind Power Using case studies, the third part of the book investigates how to achieve the most favorable use of available energy sources. Chapters in this section discuss price-based scheduling for generating companies, optimal scheduling of a hydro producer, hydro-thermal coordination, unit commitment with wind generators, and optimal optimization of multigeneration systems. Written in a pedagogical style that will appeal to graduate students, the book also expands on research results that are useful for engineers and researchers. It presents the latest techniques in increasingly important areas of power system operations and planning.
Author: Yusheng Xue
Publisher: Springer Nature
ISBN: 9819900638
Category : Technology & Engineering
Languages : en
Pages : 884
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Book Description
This book includes original, peer-reviewed research papers from the 7th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control(PMF2022), held in Nanjing, China, on August 14-15, 2022. The accepted papers cover the following topics: 1. Advanced power transmission technology2. AC/DC hybrid power grid technology3. Power Internet of Things Technology and Application4. Operation, control and protection of smart grid5. Active distribution network technology6. Power electronic technology and application7. New technology of substation automation8. Energy storage technology and application9. Application of new technologies such as artificial intelligence, blockchain, and big data10. Application of Information and Communication Technology11. Low-carbon energy planning and security12. Low-carbon operation of the power system13. Low-carbon energy comprehensive utilization technology14. Carbon trading and power market15. Carbon emission stream and carbon capture technology16. Energy saving and smart energy technology17. Analysis and evaluation of low-carbon efficiency of power system18. Carbon flow modelling in power system operationThe papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in these areas, which makes the book a valuable reference for researchers, engineers, and university students.
Author: Francisco G. Montoya
Publisher: MDPI
ISBN: 3039211307
Category : Technology & Engineering
Languages : en
Pages : 382
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Book Description
This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
Author: Zechun Hu
Publisher: John Wiley & Sons
ISBN: 1119189101
Category : Technology & Engineering
Languages : en
Pages : 245
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Book Description
An authoritative guide to large-scale energy storage technologies and applications for power system planning and operation To reduce the dependence on fossil energy, renewable energy generation (represented by wind power and photovoltaic power generation) is a growing field worldwide. Energy Storage for Power System Planning and Operation offers an authoritative introduction to the rapidly evolving field of energy storage systems. Written by a noted expert on the topic, the book outlines a valuable framework for understanding the existing and most recent advances in technologies for integrating energy storage applications with power systems. Filled with full-color illustrations, the book reviews the state-of-the-art of energy storage systems and includes illustrative system models and simulations. The author explores the various techniques that can be employed for energy storage that is compatible with renewable energy generation. Designed as a practical resource, the book examines in detail the aspects of system optimization, planning, and dispatch. This important book, Provides an introduction to the systematically different energy storage techniques with deployment potential in power systems Models various energy storage systems for mathematical formulation and simulations Contains a review of the techniques for integrating and operating energy storage with renewable energy generation Analyses how to optimize power systems with energy storage, at both the transmission and distribution system levels Shows how to optimize planning, siting, and sizing of energy storage for a range of purposes Written for power system engineers and researchers, Energy Storage for Power System Planning and Operation introduces the application of large-scale energy storage for the optimal operation and planning of power systems.
Author: Aranya Chakrabortty
Publisher: Springer Science & Business Media
ISBN: 1461416051
Category : Technology & Engineering
Languages : en
Pages : 377
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Book Description
Control and Optimization Methods for Electric Smart Grids brings together leading experts in power, control and communication systems, and consolidates some of the most promising recent research in smart grid modeling, control and optimization in hopes of laying the foundation for future advances in this critical field of study. The contents comprise eighteen essays addressing wide varieties of control-theoretic problems for tomorrow’s power grid. Topics covered include control architectures for power system networks with large-scale penetration of renewable energy and plug-in vehicles, optimal demand response, new modeling methods for electricity markets, cyber-security,data analysis and wide-area control using synchronized phasor measurements.
Author: Eglantine Künle
Publisher: Cuvillier Verlag
ISBN: 3736988907
Category : Technology & Engineering
Languages : en
Pages : 209
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Book Description
The work at hand participates with the energy transition toward decarbonized electricity production by providing a method to analyze the incentives for the dispatchable fleet to provide flexibility. It analyzes the signals set by the energy markets to investors and power plant operators regarding flexible power plant operation and the future requirement of thermal plant flexibilisation, with improvement suggestions. A method for the quantitative, long-term, high-resolution techno-economic assessment of an individual power plant’s operational flexibility is proposed. It includes the single unit self-scheduling problem of a merchant power plant solved from a price-taker perspective in the day-ahead, intraday and frequency control markets, as well as a parametric power plant model suited for operational flexibility assessments. The retroactive observation of the merchant power plants’ operation strategies in these markets is used to identify best practices in terms of market design for flexibility incentives. The value of operational flexibility improvements is quantified using various metrics, for different technologies and market environments. Despite their sensitivity to market design, technologies and cost structures, these results indicate that if investors further expect a three to five-year return on investment, the existing European conventional fleet is unlikely to experience a significant flexibilization.
