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Grid converters increasingly affect power system operation due to the increasing share of renewable energy sources and less conventional power plants. This shift in power generation leads to converter-dominated weak grids, which show critical stability phenomena but also enable converters to contribute to grid stability and voltage support. This thesis presents critical parts of converter controls and describes models to assess their characteristics. These models are used to derive design criteria and dedicated stability analysis methods for grid converter controls. Der steigende Anteil an erneuerbaren Energien in den Energieversorgungsnetzen führt zur Verdrängung konventioneller Kraftwerke. Diese Entwicklung lässt umrichterdominierte und schwache Netzabschnitte entstehen, die kritischen Stabilitätsmechanismen unterliegen, allerdings auch ermöglichen, dass Umrichter aktiv zur Netzstützung und Netzstabilität beitragen können. Die vorliegende Arbeit beschreibt kritische Regelungskomponenten der Umrichter und deren Modellierung. Auf Basis der Modelle werden Auslegungskriterien für die Regelungen abgeleitet und dedizierte Stabilitätsanalysemethoden präsentiert.
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.
The high-power grid-connected converters play a vital role in modern power system, realizing the conversion and transmission of electrical energy, and determining its safety, stability and efficiency. This book explores the advanced control strategies of high-power grid-connected converter to satisfy the high-power requirements in practical applications. Special attention is given to grid-connected converter modules in parallel operation to overcome the challenges of non-ideal power grid, power switches faults, and circulating current. Through the advanced control strategies presented in this book, the power capacity of grid-connected converter is flexibly increased with high-reliability and efficiency, thus expanding the application range of high-power converters in modern power system. To facilitate understanding, this book provides step-by-step model derivation and controller design for grid-connected converter. Meanwhile, it also provides the comprehensive simulation and experimental results to offer readers a deep insight into the control process of grid-connected converters. This book serves as a guide for electrical engineers and researchers involved in the development of high-power converters.
Lithium plating is not only the most severe ageing mechanism in lithium-ion batteries (LIBs) but also becoming more and more important due the increasing presence of electric vehicles (EVs). In EVs the extreme conditions causing lithium plating, like very high charging currents and low environment temperatures, are much more prevalent than in consumer electronics. Due to the high number of factors that influence the plating process, ranging from the cell geometry to the chemical composition of the electrolyte, a deeper understanding of the plating process is still lacking. Without this knowledge it is hard to design cells in a plating resistant way, or to operate cells under the ideal conditions to minimize plating. This thesis aims at showing different methods to investigate the plating process on three different levels. The first method is on the cell level, investigating the behaviour of the whole cell during plating. It contains the analysis of the voltage and current profiles that show an atypical behaviour during plating. The focus of the analysis is on the current profile of the constant voltage (CV) phase during charging under low temperature conditions leading to plating. This current profile can be fitted with the Johnson-Mehl-Avrami-Kolmogorov (JMAK) function that describes the electrochemical deposition process of a metallic species on a surface. The resulting fitting parameters can be utilized to characterize the plating behaviour of the cell as well as better estimate the amount of plated lithium than commonly used methods. It can also potentially predict the future safety risk due to dendrite formation. In the second part the chemical composition of the surface electrolyte interface (SEI) is investigated using X-ray photoelectron spectroscopy (XPS). The composition as well as the mechanical properties of the SEI are strongly influencing the plating process and preliminary work has shown that plating is also changing the morphology of the SEI and increasing its thickness drastically. Cells under different conditions (plated, charged and discharged) as well as cells of different manufacturers have been probed using XPS. During the measurements an unwanted side effect of the experimental setup was discovered that lead to a migration of lithium to the surface of the sample and was distorting the measurement results. Regardless of the effect, it was possible to see that the SEI can have a very different composition in cells of different manufacturers and that plating not only changes the morphology but also the composition of the SEI. The unwanted side effect could furthermore be utilized to identify samples that were plated recently and could be used in further more controlled experiments to localize lithium depositions on plated samples. In the last part the particle structure of the anode surface of cells of different manufacturers was investigated using a watershed particle detection algorithm on laser scanning microscopy (LSM) images of the anode surfaces. The distributions of the particle sizes have then been compared to the capacity loss in plated cells. It was shown that the capacity loss correlates with parameters extracted from the particle size distributions. It is however necessary to create more data to verify this correlation. In summary this thesis utilized new methods to detect or characterize plating on different levels of magnification, from the cell level to the chemical composition. New approaches were found to predict a cells future plating behaviour, spatially localize plated areas on the anode and design cells in a plating resistant way. Lithium Plating ist nicht nur der Alterungsmechanismus in Lithium-Ionen-Batterien mit dem größten Kapazitätsverlust, sondern wird auch im Zuge der voranschreitenden Elektrifizierung des Personenverkehrs immer wichtiger. In Elektrofahrzeugen finden sich die extremen Zustände, wie niedrige Ladetemperaturen und hohe Ladestrome, unter denen Plating auftritt, deutlich häufiger als in Unterhaltungstechnik. Durch die Vielzahl von Parametern, von der Zellgeometrie bis hin zur Elektrolyzusammensetzung, die Plating beeinflussen, fehlt immer noch ein tieferes Verständnis des Plating-Prozesses. Ohne dieses Wissen ist es schwer, Zellen zu designen, die resistent gegen Plating sind oder Zellen unter optimalen Bedingungen zu betreiben um Plating zu minimieren. Das Ziel dieser Arbeit ist es, verschiedene Methoden aufzuzeigen, die die Untersuchung von Plating auf drei verschiedenen Ebenen ermöglichen. Die erste Methode untersucht das Gesamtverhalten der Zelle auf Zellebene. Hierbei wird das atypische Verhalten der Strom- und Spannunsprofile wahrend des Plating-Vorgangs analysiert. Der Fokus liegt dabei auf der Untersuchung der Konstantstrom-Phase bei niedrigen Temperaturen während der Ladung. Das Stromprofil dieser Phase kann mit der JMAK-Funktion gefittet werden, welche die elektrochemische Abscheidung eines Metalls auf einer Oberfläche beschreibt. Die resultierenden Fitting-Parameter können genutzt werden, um das Plating-Verhalten vorherzusagen und sind gleichzeitig eine bessere Abschätzung fur die Menge an geplatetem Lithium im Vergleich zu gängigen Methoden. Die Ergebnisse konnten außerdem helfen das Sicherheitsrisiko der Zelle bei Dendritenbildung vorherzusagen. Im zweiten Teil wird die chemische Zusammensetzung der SEI mittels XPS untersucht. Die Zusammensetzung, wie auch die mechanischen Eigenschaften der SEI, beeinflussen den Plating-Prozess stark und es wurde in vorhergehenden Arbeiten gezeigt, dass Plating auch die Morphologie und Dicke der SEI drastisch verändern kann. Zellen in verschiedenen Zuständen (geplatet, geladen, entladen), sowie Zellen verschiedener Hersteller wurden mit XPS untersucht. Während der Messungen wurde ein ungewollter Nebeneffekt des Messaufbaus entdeckt, der zu einer Migration von Lithium an die Oberflache der Proben geführt und die Messergebnisse verfälscht hat. Unabhängig von diesem Effekt war es dennoch möglich, zu zeigen, dass die SEI in Zellen verschiedener Hersteller stark unterschiedliche Zusammensetzungen haben kann und dass Plating nicht nur die Morphologie der SEI beeinflusst, sondern auch die chemische Zusammensetzung. Weiterhin konnte der ungewollte Nebeneffekt verwendet werden, um Proben zu identifizieren, die vor kurzem geplatet wurden und konnte in zukünftigen Arbeiten verwendet werden, um lokalisiert Lithium-Ablagerungen auf geplateten Proben zu identifizieren. Im letzten Teil wurde die Partikelstruktur der Anoden von Zellen verschiedener Zellhersteller mit Hilfe einer watershed-Partikeldetektion an LSM-Bildern untersucht. Die Verteilung der Partikelgrößen wurde mit dem Kapazitätsverlust gleicher Zelle durch Plating verglichen. Es wurde gezeigt, dass der Kapazitätsverlust mit Parametern, die aus den Partikelverteilungen extrahiert wurden, korreliert. Ein größerer Datensatz ist jedoch notwendig, um diese Ergebnisse zu validieren. Zusammenfassend hat diese Arbeit verschiedene neue Methoden aufgezeigt, um Plating auf verschiedenen Vergrößerungsebenen zu detektieren und zu charakterisieren. Neue Ansätze wurden gefunden, um das Platingverhalten von Zellen vorherzusagen, lokalisiertes Lithium auf der Oberfläche zu detektieren und Zellen platingresistenter designen zu können.
An essential reference to the modeling techniques of wind turbine systems for the application of advanced control methods This book covers the modeling of wind power and application of modern control methods to the wind power control—specifically the models of type 3 and type 4 wind turbines. The modeling aspects will help readers to streamline the wind turbine and wind power plant modeling, and reduce the burden of power system simulations to investigate the impact of wind power on power systems. The use of modern control methods will help technology development, especially from the perspective of manufactures. Chapter coverage includes: status of wind power development, grid code requirements for wind power integration; modeling and control of doubly fed induction generator (DFIG) wind turbine generator (WTG); optimal control strategy for load reduction of full scale converter (FSC) WTG; clustering based WTG model linearization; adaptive control of wind turbines for maximum power point tracking (MPPT); distributed model predictive active power control of wind power plants and energy storage systems; model predictive voltage control of wind power plants; control of wind power plant clusters; and fault ride-through capability enhancement of VSC HVDC connected offshore wind power plants. Modeling and Modern Control of Wind Power also features tables, illustrations, case studies, and an appendix showing a selection of typical test systems and the code of adaptive and distributed model predictive control. Analyzes the developments in control methods for wind turbines (focusing on type 3 and type 4 wind turbines) Provides an overview of the latest changes in grid code requirements for wind power integration Reviews the operation characteristics of the FSC and DFIG WTG Presents production efficiency improvement of WTG under uncertainties and disturbances with adaptive control Deals with model predictive active and reactive power control of wind power plants Describes enhanced control of VSC HVDC connected offshore wind power plants Modeling and Modern Control of Wind Power is ideal for PhD students and researchers studying the field, but is also highly beneficial to engineers and transmission system operators (TSOs), wind turbine manufacturers, and consulting companies.
Wind Energy Systems: Modeling, Analysis and Control with DFIG provides key information on machine/converter modelling strategies based on space vectors, complex vector, and further frequency-domain variables. It includes applications that focus on wind energy grid integration, with analysis and control explanations with examples. For those working in the field of wind energy integration examining the potential risk of stability is key, this edition looks at how wind energy is modelled, what kind of control systems are adopted, how it interacts with the grid, as well as suitable study approaches. Not only giving principles behind the dynamics of wind energy grid integration system, but also examining different strategies for analysis, such as frequency-domain-based and state-space-based approaches. - Focuses on real and reactive power control - Supported by PSCAD and Matlab/Simulink examples - Considers the difference in control objectives between ac drive systems and grid integration systems
This book presents a modified model reference adaptive system (MRAS) observer for sensorless vector control of a wind driven doubly fed induction generator (DFIG). A mathematical model of the DFIG as influenced by core loss and main flux saturation is developed. The authors describe and evaluate grid synchronization enhancement of a wind driven DFIG using adaptive sliding mode control (SMC). Besides, grid synchronization of a wind driven DFIG under unbalanced grid voltage is also fully covered in this book.
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy
Modelling and Control Dynamics in Microgrid Systems with Renewable Energy Resources looks at complete microgrid systems integrated with renewable energy resources (RERs) such as solar, wind, biomass or fuel cells that facilitate remote applications and allow access to pollution-free energy. Designed and dedicated to providing a complete package on microgrid systems modelling and control dynamics, this book elaborates several aspects of control systems from classical approach to advanced techniques based on artificial intelligence. It captures the typical modes of operation of microgrid systems with distributed energy storage applications like battery, flywheel, electrical vehicles infrastructures that are integrated within microgrids with desired targets. More importantly, the techno-economics of these microgrid systems are well addressed to accelerate the process of achieving the SDG7 i.e., affordable and clean energy for all (E4ALL). This reference presents the latest developments including step by step modelling processes, data security and standards protocol for commissioning of microgrid projects, making this a useful tool for researchers, engineers and industrialists wanting a comprehensive reference on energy systems models. - Includes simulations with case studies and real-world applications of energy system models - Detailed systematic modeling with mathematical analysis is covered - Features possible operating scenarios with solutions to the encountered issues