Download or read book Optimization Models in Electricity Markets written by Anthony Papavasiliou and published by Cambridge University Press. This book was released on 2024-05-31 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up-to-speed with the fundamentals of how electricity markets are structured and operated with this comprehensive textbook, presenting coverage of key topics in electricity market design, including power system and power market operations, transmission, unit commitment, demand response, and risk management. It includes over 140 practical examples, inspired by real-industry applications, connecting key theoretical concepts to practical scenarios in electricity market design, and features over 100 coding-based examples and exercises, with selected solutions for readers. It further demonstrates how mathematical programming models are implemented in an industry setting. Requiring no experience in power systems or energy economics, this is the ideal introduction to electricity markets for senior undergraduate and graduate students in electrical engineering, economics, and operations research, and a robust introduction to the field for professionals in utilities, energy policy, and energy regulation. Accompanied online by datasets, AMPL code, supporting videos, and full solutions and lecture slides for instructors.

Download or read book Mathematical Modelling of Contemporary Electricity Markets written by Athanasios Dagoumas and published by Academic Press. This book was released on 2021-01-30 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modelling of Contemporary Electricity Markets reviews major methodologies and tools to accurately analyze and forecast contemporary electricity markets in a ways that is ideal for practitioner and academic audiences. Approaches include optimization, neural networks, genetic algorithms, co-optimization, econometrics, E3 models and energy system models. The work examines how new challenges affect power market modeling, including discussions of stochastic renewables, price volatility, dynamic participation of demand, integration of storage and electric vehicles, interdependence with other commodity markets and the evolution of policy developments (market coupling processes, security of supply). Coverage addresses all major forms of electricity markets: day-ahead, forward, intraday, balancing, and capacity. Provides a diverse body of established techniques suitable for modeling any major aspect of electricity markets Familiarizes energy experts with the quantitative skills needed in competitive electricity markets Reviews market risk for energy investment decisions by stressing the multi-dimensionality of electricity markets

Download or read book Complementarity Modeling in Energy Markets written by Steven A. Gabriel and published by Springer Science & Business Media. This book was released on 2012-07-20 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.

Download or read book Global Energy Interconnection written by Zhenya Liu and published by Academic Press. This book was released on 2015-08-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global energy network is an important platform to guarantee effective exploitation of global clean energy and ensure reliable energy supply for everybody. Global Energy Interconnection analyzes the current situation and challenges of global energy development, provides the strategic thinking, overall objective, basic pattern, construction method and development mode for the development of global energy network. Based on the prediction of global energy and electricity supply and demand in the future, with the development of UHV AC/DC and smart grid technologies, this book offers new solutions to drive the safe, clean, highly efficient and sustainable development of global energy. The concept and development ideas concerning global energy interconnection in this book are based on the author’s thinking of strategic issues about China’s and the world’s energy and electricity development for many years, especially combined with successful practices of China’s UHV development. This book is particularly suitable for researchers and graduated students engaged in energy sector, as well as energy economics researchers, economists, consultants, and government energy policy makers in relevant fields. Based on the author's many years' experience in developing Smart Grid solutions within national and international projects. Combines both solid background information and cutting-edge technology progress, coupled with a useful and impressive list of references. The key energy problems which are challenging us nowadays are well stated and explained in this book, which facilitates a better understanding of the development of global energy interconnection with UHV AC/DC and smart grid technologies.

Download or read book Energy Storage in Energy Markets written by Behnam Mohammadi-Ivatloo and published by Academic Press. This book was released on 2021-04-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Storage in Energy Markets reviews the modeling, design, analysis, optimization and impact of energy storage systems in energy markets in a way that is ideal for an audience of researchers and practitioners. The book provides deep insights on potential benefits and revenues, economic evaluation, investment challenges, risk analysis, technical requirements, and the impacts of energy storage integration. Heavily referenced and easily accessible to policymakers, developers, engineer, researchers and students alike, this comprehensive resource aims to fill the gap in the role of energy storage in pool/local energy/ancillary service markets and other multi-market commerce. Chapters elaborate on energy market fundamentals, operations, energy storage fundamentals, components, and the role and impact of storage systems on energy systems from different aspects, such as environmental, technical and economics, the role of storage devices in uncertainty handling in energy systems and their contributions in resiliency and reliability improvement. Provides integrated techno-economic analysis of energy storage systems and the energy markets Reviews impacts of electric vehicles as moving energy storage and loads on the electricity market Analyzes the role and impact of energy storage systems in the energy, ancillary, reserve and regulatory multi-market business Applies advanced methods to the economic integration of large-scale energy storage systems Develops an evaluation framework for energy market storage systems

Download or read book Local Electricity Markets written by Tiago Pinto and published by Academic Press. This book was released on 2021-07-03 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Local Electricity Markets introduces the fundamental characteristics, needs, and constraints shaping the design and implementation of local electricity markets. It addresses current proposed local market models and lessons from their limited practical implementation. The work discusses relevant decision and informatics tools considered important in the implementation of local electricity markets. It also includes a review on management and trading platforms, including commercially available tools. Aspects of local electricity market infrastructure are identified and discussed, including physical and software infrastructure. It discusses the current regulatory frameworks available for local electricity market development internationally. The work concludes with a discussion of barriers and opportunities for local electricity markets in the future. Delineates key components shaping the design and implementation of local electricity market structure Provides a coherent view on the enabling infrastructures and technologies that underpin local market expansion Explores the current regulatory environment for local electricity markets drawn from a global panel of contributors Exposes future paths toward widespread implementation of local electricity markets using an empirical review of barriers and opportunities Reviews relevant local electricity market case studies, pilots and demonstrators already deployed and under implementation

Download or read book Analysis and Application of Optimization Techniques to Power System Security and Electricity Markets written by José Rafael Avalos Muñoz and published by . This book was released on 2008 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Determining the maximum power system loadability, as well as preventing the system from being operated close to the stability limits is very important in power systems planning and operation. The application of optimization techniques to power systems security and electricity markets is a rather relevant research area in power engineering. The study of optimization models to determine critical operating conditions of a power system to obtain secure power dispatches in an electricity market has gained particular attention. This thesis studies and develops optimization models and techniques to detect or avoid voltage instability points in a power system in the context of a competitive electricity market.

Download or read book Optimization Models and Techniques for Implementation and Pricing of Electricity Markets written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimization in the Energy Industry written by Josef Kallrath and published by Springer Science & Business Media. This book was released on 2008-12-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Decision Making Under Uncertainty in Electricity Markets written by Antonio J. Conejo and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.

Download or read book Robust Optimization in Electric Energy Systems written by Xu Andy Sun and published by Springer Nature. This book was released on 2021-11-08 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers robust optimization theory and applications in the electricity sector. The advantage of robust optimization with respect to other methodologies for decision making under uncertainty are first discussed. Then, the robust optimization theory is covered in a friendly and tutorial manner. Finally, a number of insightful short- and long-term applications pertaining to the electricity sector are considered. Specifically, the book includes: robust set characterization, robust optimization, adaptive robust optimization, hybrid robust-stochastic optimization, applications to short- and medium-term operations problems in the electricity sector, and applications to long-term investment problems in the electricity sector. Each chapter contains end-of-chapter problems, making it suitable for use as a text. The purpose of the book is to provide a self-contained overview of robust optimization techniques for decision making under uncertainty in the electricity sector. The targeted audience includes industrial and power engineering students and practitioners in energy fields. The young field of robust optimization is reaching maturity in many respects. It is also useful for practitioners, as it provides a number of electricity industry applications described up to working algorithms (in JuliaOpt).

Download or read book Convex Optimization of Power Systems written by Joshua Adam Taylor and published by Cambridge University Press. This book was released on 2015-02-12 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: A mathematically rigorous guide to convex optimization for power systems engineering.

Download or read book Power System Optimization Modeling in GAMS written by Alireza Soroudi and published by Springer. This book was released on 2017-08-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies. It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students.

Download or read book Competitive Electricity Markets written by Fereidoon Sioshansi and published by Elsevier. This book was released on 2011-10-10 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: After 2 decades, policymakers and regulators agree that electricity market reform, liberalization and privatization remains partly art. Moreover, the international experience suggests that in nearly all cases, initial market reform leads to unintended consequences or introduces new risks, which must be addressed in subsequent “reform of the reforms. Competitive Electricity Markets describes the evolution of the market reform process including a number of challenging issues such as infrastructure investment, resource adequacy, capacity and demand participation, market power, distributed generation, renewable energy and global climate change. Sequel to Electricity Market Reform: An International Perspective in the same series published in 2006 Contributions from renowned scholars and practitioners on significant electricity market design and implementation issues Covers timely topics on the evolution of electricity market liberalization worldwide

Download or read book Optimisation Models and Methods in Energy Systems written by Carlos Henggeler Antunes and published by MDPI. This book was released on 2019-08-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue Optimisation Models and Methods in Energy Systems that was published in Energies

Download or read book Forecasting Models of Electricity Prices written by Javier Contreras and published by MDPI. This book was released on 2018-04-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Forecasting Models of Electricity Prices" that was published in Energies

Download or read book Optimizing the Economic Efficiency of Wholesale Electricity Markets written by and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation contributes design ideas and solution methodology to several policy and operational issues within the contemporary wholesale electricity markets in the United States. Mathematical programming, hierarchical optimization modeling and parallel computing techniques constitute its methodological basis. Chapter 2 interprets demand response as a trade of consuming rights among customers and provides a bi-level optimization model to simultaneously clear the energy and demand response markets. As an efficient implementation of FERC Order 745, a three-phase solution method involving joint use of nonlinear and mixed integer solvers as well as a bound-tightening technique is proposed for large-scale instances. Chapter 3 analyzes the efficiency and equity issues of the uniform-price payment rule in bulk power markets, and justifies based on linear programming duality a pay-as-bid rule in the context of unit commitment. The effectiveness of this payment rule is validated via a simulation of market participants' bidding behaviors in a realistic setting. Chapter 4 proposes a general bidding structure that clears obstacles for efficient demand-side participation. The structure promotes new bid types that allow deferrable, adjustable and storage-type loads to better express their value. These bid types are shown to be easily incorporated into the existing market and to preserve the efficiency and incentive-compatibility properties of the market. Chapter 5 provides a Derand sampling method to approximate load forecast errors in a stochastic unit commitment model. Using only a few high-quality scenarios, Derand outperforms its deterministic counterpart and other conventional scenario reduction techniques by a significant margin. Chapter 6 models a multi-stage security-constrained economic dispatch (SCED) problem. A series of algorithmic enhancements based on the Benders' decomposition and parallel computing are implemented to ameliorate the computational difficulty. The approach is able to process the N-1 contingency list in ten minutes for all large network cases available for experiments. Chapter 7 proposes a novel solution approach for the SCED problem in a nonlinear AC setting. The approach approximates the nonconvex AC feasibility problem with its semidefinite programming (SDP) relaxation and uses the SDP model as a convex subproblem within a Benders' decomposition framework. Numerical experiments demonstrate the superior solution quality of the approach.