Modeling And Robust Control Of Autonomous Hybrid Wind Diesel System

Fuzzy logic controllers were first applied in parallel to the FLPI so to capture the benefits of both the conventional established theory and the advantages of the fuzzy logic Simulations showed that the hybrid FLPI/Fuzzy controllers have added negligible improvement to the performance of the FLPI used alone.--Then, fuzzy controllers are designed based on neural network architecture, the Adaptive Network-based Fuzzy Inference System. These fuzzy controllers showed comparable performance to the FLPI controllers and were able to adapt to disturbances other than the ones applied during the training process. One advantage of the fuzzy controllers over the FLPI is the less, and readily observable, number of inputs it required, compared to the conventional FLPI controller.--This thesis showed the efficiency of using neural network as a structure for designing fuzzy controllers able to meet the required specifications in a highly non?linear wind-diesel plant, and be comparable to conventional robust controll.

This book is a remarkable collection of chapters covering a wider range of topics, including unsupervised text mining, anomaly and Intrusion Detection, Self-reconfiguring Robotics, application of Fuzzy Logic to development aid, Design and Optimization, Context-Aware Reasoning, DNA Sequence Assembly and Multilayer Perceptron Networks. The twenty-one chapters present extended results from the SAI Intelligent Systems Conference (IntelliSys) 2015 and have been selected based on high recommendations during IntelliSys 2015 review process. This book presents innovative research and development carried out presently in fields of knowledge representation and reasoning, machine learning, and particularly in intelligent systems in a more broad sense. It provides state - of - the - art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Presenting the latest developments in the field, Wind Energy Systems: Control Engineering Design offers a novel take on advanced control engineering design techniques for wind turbine applications. The book introduces concurrent quantitative engineering techniques for the design of highly efficient and reliable controllers, which can be used to solve the most critical problems of multi-megawatt wind energy systems. This book is based on the authors’ experience during the last two decades designing commercial multi-megawatt wind turbines and control systems for industry leaders, including NASA and the European Space Agency. This work is their response to the urgent need for a truly reliable concurrent engineering methodology for the design of advanced control systems. Outlining a roadmap for such a coordinated architecture, the authors consider the links between all aspects of a multi-megawatt wind energy project, in which the wind turbine and the control system must be cooperatively designed to achieve an optimized, reliable, and successful system. Look inside for information about the QFT Control Toolbox for Matlab, the software developed by the author to facilitate the QFT robust control design (see also the link at codypower.com). The textbook’s big-picture insights can help students and practicing engineers control and optimize a wind energy system, in which large, flexible, aerodynamic structures are connected to a demanding variable electrical grid and work automatically under very turbulent and unpredictable environmental conditions. The book covers topics including robust QFT control, aerodynamics, mechanical and electrical dynamic modeling, economics, reliability, and efficiency. It also addresses standards, certification, implementation, grid integration, and power quality, as well as environmental and maintenance issues. To reinforce understanding, the authors present real examples of experimentation with commercial multi-megawatt direct-drive wind turbines, as well as on-shore, offshore, floating, and airborne wind turbine applications. They also offer a unique in-depth exploration of the quantitative feedback theory (QFT)—a proven, successful robust control technique for real-world applications—as well as advanced switching control techniques that help engineers exceed classical linear limitations.

Discover the deep insights into the operation, modulation, and control strategies of multilevel converters, alongside their recent applications in variable speed drives, renewable energy generation, and power systems. Multilevel converters have gained attention in recent years for medium/high voltage and high power industrial and residential applications. The main advantages of multilevel converters over two level converters include less voltage stress on power semiconductors, low dv/dt, low common voltage, reduced electromagnetic interference, and low total harmonics distortion, among others. Better output power quality is ensured by increasing the number of levels in the synthesized output voltage waveform. Several multilevel topologies have been reported in the literature, such as neutral point clamped (NPC), flying capacitor (FC), cascaded H-bridge (CHB), hybrid cascaded H-bridge, asymmetrical cascaded H-bridge, modular multilevel converters (MMC), active neutral point clamped converters (ANPC), and packed U-cell type converters and various reduced device counts and a reduced number of source-based topologies have been proposed in literature. The multilevel converter, although a proven and enabling technology, still presents numerous challenges in topologies, modulation, and control, as well as in need-based applications. Since multilevel converters offer a wide range of possibilities, research and development in the areas of multilevel converter topologies, modulation, and control in various applications are still growing. To further improve multilevel converter energy efficiency, reliability, power density, and cost, many research groups across the world are working to broaden the application areas of multilevel converters and make them more attractive and competitive compared to classic topologies. Multilevel Converters intends to provide deep insight about multilevel converter operation, modulation, and control strategies and various recent applications of multilevel converters such as in variable speed drives, renewable energy generation, and power systems.

Covering all aspects of this important topic, this work presents a review of the main control issues in wind power generation, offering a unified picture of the issues surrounding its optimal control. Discussion is focused on a global dynamic optimization approach to wind power systems using a set of optimization criteria which comply with a comprehensive group of requirements including: energy conversion efficiency; mechanical reliability; and quality of the energy provided.

Advanced Frequency Regulation Strategies in Renewable-Dominated Modern Power Systems discusses advanced control strategies positioned to attain stable and reliable electric power operation in highly renewable modern grids. These strategies are increasingly valuable components of the practitioner technical toolbox, and are essential to maintain frequency and voltage regulations, assert power quality standards, and ensure overall grid stability. This book focuses on the rapid integration of renewable-based generating units in power systems, highlighting state-of-the-art technologies and emerging topics pertaining to load frequency control, robust control strategies, and energy storage systems. Chapters are accompanied by case studies drawn from modern international practice. Disseminates novel control strategies for the reliable and robust control of renewable generating units Discusses implementation using case studies that address multiple frequency control applications across integrated modern power systems Accompanied by simulation models in MATLAB that are built to emphasize practical usage and address real-world problems

Because society depends greatly on electric energy, power system control and protection focuses on ensuring a secure and reliable supply of power. To operate the electric systems in safe mode, the power system component should be equipped with intelligent controllers. The Handbook of Research on Smart Power System Operation and Control is a collection of innovative research on the theoretical and practical developments in smart power system operation and control that takes into account both smart grid and micro-grid systems. While highlighting topics including cybersecurity, smart grid, and wide area monitoring, this book is ideally designed for researchers, students, and industry professionals.