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Hierarchical Power Systems Control by Marija Ilic,Shell Liu Pdf
Deregulation is causing dramatic change in the power industry but little is known about how power systems will function under competition. What are suitable performance objectives? What control designs are required and what economic techniques should be used? This detailed analysis attempts to answer these questions. The authors provide a modelling, analysis and systems control framework that makes it possible to relate distinctive features of the electric power industry to more conventional supply/demand processes in other industries. Some parts of the system can be distributed while other parts must remain co-ordinated. This authoritative and detailed study is highly topical and will be of interest to those working in the systems control area, especially in electrical power. It is also most relevant for industrial economists as well as academics in electrical power engineering.
Tim Aschenbruck,Jörg Dickert,Willem Esterhuizen,Bartosz Filipecki,Sara Grundel,Christoph Helmberg,Tobias K. S. Ritschel,Philipp Sauerteig,Stefan Streif,Andreas Wasserrab,Karl Worthmann
Author : Tim Aschenbruck,Jörg Dickert,Willem Esterhuizen,Bartosz Filipecki,Sara Grundel,Christoph Helmberg,Tobias K. S. Ritschel,Philipp Sauerteig,Stefan Streif,Andreas Wasserrab,Karl Worthmann Publisher : Springer Nature Page : 60 pages File Size : 49,8 Mb Release : 2023-03-18 Category : Technology & Engineering ISBN : 9783031256998
Hierarchical Power Systems: Optimal Operation Using Grid Flexibilities by Tim Aschenbruck,Jörg Dickert,Willem Esterhuizen,Bartosz Filipecki,Sara Grundel,Christoph Helmberg,Tobias K. S. Ritschel,Philipp Sauerteig,Stefan Streif,Andreas Wasserrab,Karl Worthmann Pdf
This book explains the power grid as a hierarchy made up of the transmission, distribution, and microgrid levels. Interfaces among these levels are explored to show how flexibility in power demand associated with residential batteries can be communicated through the entire grid to facilitate optimal power flow computations within the transmission grid. To realize this approach, the authors combine semi-definite optimal power flow with model-order reduction at the distribution level and with a new heuristic algorithm for stable power flow at the transmission level. To demonstrate its use, a numerical case study based on modified IEEE 9-bus and 33-bus systems for the transmission and distribution grid, respectively, is included. This book shows how exploiting the flexibility on the residential level improves the performance of the power flow with the transmission grid.
Power Systems Control and Reliability by Isa S. Qamber Pdf
Focusing on power systems reliability and generating unit commitments, which are essential in the design and evaluation of the electric power systems for planning, control, and operation, this informative volume covers the concepts of basic reliability engineering, such as power system spinning reserve, types of load curves and their objectives and benefits, the electric power exchange, and the system operation constraints. The author explains how the probability theory plays an important role in reliability applications and discusses the probability applications in electric power systems that led to the development of the mathematical models that are illustrated in the book. The algorithms that are presented throughout the chapters will help researchers and engineers to implement their own suitable programs where needed and will also be valuable for students. The Artificial Neural Networks (ANN) and Fuzzy Logic (FL) systems are discussed and a number of load estimation models are built for some cases, where their formulas are developed. A number of developed models are presented, including the Kronecker techniques, Fourth-Order Runge-Kutta, System Multiplication Method, or Adams Method; and components with different connections and different distributions are presented. A number of examples are explained showing how to build and evaluate power plants.
Hierarchical Modeling of Energy Systems by Nikolai I. Voropai,Valery A. Stennikov Pdf
Hierarchical Modeling of Energy Systems presents a detailed methodology for hierarchical modeling of large-scale complex systems with a focus on energy systems and their expansion planning and control. General methodological principles of hierarchical modeling are analyzed, and based on this analysis, a generalized technology for the hierarchical approach is presented. The mathematical foundations of decomposition and bi-level programming, as well as the possibility of using information technologies are also considered. The theoretical propositions are demonstrated by numerous hierarchical modeling examples aimed at planning the development of the energy sector and expansion of energy systems, analyzing, and optimizing these systems, and controlling their operation. In addition, codes and sample simulations are included throughout. This is an invaluable guide for researchers, engineers, and other specialists involved in the development, control and management of energy systems, while the summary of fundamental principles and concepts in energy modeling makes this an accessible learning tool for graduate students on any course involving energy systems or energy modeling. Summarizes hierarchical modeling principles and methods Critically evaluates all energy systems including electric power systems, heat supply systems, gas, and coal supply systems, integrated and cogeneration systems, its interrelations and more Examines expansion planning, development and operation, control and management of energy systems Provides a detailed mathematical descriptions of models, computation algorithms, and optimization problems
Power Systems Restructuring by Marija Ilic,Francisco Galiana,Lester Fink Pdf
The writing of this book was largely motivated by the ongoing unprecedented world-wide restructuring of the power industry. This move away from the traditional monopolies and toward greater competition, in the form of increased numbers of independent power producers and an unbundling of the main services that were until now provided by the utilities, has been building up for over a decade. This change was driven by the large disparities in electricity tariffs across regions, by technological developments that make it possible for small producers to compete with large ones, and by a widely held belief that competition will be beneficial in a broad sense. All of this together with the political will to push through the necessary legislative reforms has created a climate conducive to restructuring in the electric power industry. Consequently, since the beginning of this decade dramatic changes have taken place in an ever-increasing list of nations, from the pioneering moves in the United Kingdom, Chile and Scandinavia, to today's highly fluid power industry throughout North and South America, as well as in the European Community. The drive to restructure and take advantage of the potential economic benefits has, in our view, forced the industry to take actions and make choices at a hurried pace, without the usual deliberation and thorough analysis of possible implications. We must admit that to speak of "the industry" at this juncture is perhaps disingenuous, even misleading.
Modeling and Control of Sustainable Power Systems by Lingfeng Wang Pdf
The concept of the smart grid promises the world an efficient and intelligent approach of managing energy production, transportation, and consumption by incorporating intelligence, efficiency, and optimality into the power grid. Both energy providers and consumers can take advantage of the convenience, reliability, and energy savings achieved by real-time and intelligent energy management. To this end, the current power grid is experiencing drastic changes and upgrades. For instance, more significant green energy resources such as wind power and solar power are being integrated into the power grid, and higher energy storage capacity is being installed in order to mitigate the intermittency issues brought about by the variable energy resources. At the same time, novel power electronics technologies and operating strategies are being invented and adopted. For instance, Flexible AC transmission systems and phasor measurement units are two promising technologies for improving the power system reliability and power quality. Demand side management will enable the customers to manage the power loads in an active fashion. As a result, modeling and control of modern power grids pose great challenges due to the adoption of new smart grid technologies. In this book, chapters regarding representative applications of smart grid technologies written by world-renowned experts are included, which explain in detail various innovative modeling and control methods.
Artificial Intelligence in Power System Optimization by Weerakorn Ongsakul,Vo Ngoc Dieu Pdf
With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also useful for those who are interested in using artificial intelligence in power system optimization.
Control, operation and trading strategies of intermittent renewable energy in smart grids by Dongliang Xiao,Biyun Chen,Xueqian Fu,Zhiyi Li,Chun Wei,Dan Lu Pdf
Advances in Power and Energy Engineering by Yuanzhang Sun Pdf
Energy and power are playing pivotal roles in social and economic developments of the modern world. Energy and power engineers and technologists have made our lives much more comfortable and affordable. However, due to the demands of the global population on resources and the environment, innovations of more reliable and sustainable energy res
Computational Science – ICCS 2021 by Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M.A. Sloot Pdf
The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapter: Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
