A Fuzzy Controller For A Hybrid Wind Diesel System With Storage

For remote power systems using a combination of wind energy and diesel power, large storage batteries may be used to reduce diesel fuel consumption. In order to assess the feasibility of incorporating storage batteries, potential savings in fuel costs must be weighed against the capital equipment costs associated with the storage system. In such a cost-benefit analysis, the dispatch strategy used to control the system is critical in determining the amount of cost savings, and hence the feasibility of storage. This thesis is a study of various control strategies that may be used in the dispatch of stored wind energy in a remote wind/diesel power system. A theoretical ideal dispatch strategy is presented as a means of determining the maximum savings possible. Several simple dispatch strategies are discussed. A fuzzy discharge controller that uses battery state of charge and wind speed forecasts to optimize battery discharge is presented. Computer simulations are used to evaluate the performance of the various control strategies, and results are compared. A case study of a typical small wind/diesel system is presented. It is shown that the reductions in operating costs achieved by using storage can be significantly increased using the fuzzy discharge controller. The role of wind speed prediction is examined and practical implementation issues are addressed. Implications for the general feasibility of large-scale storage are discussed.

This book discusses the supervision of hybrid systems and presents models for control, optimization and storage. It provides a guide for practitioners as well as graduate and postgraduate students and researchers in both renewable energy and modern power systems, enabling them to quickly gain an understanding of stand-alone and grid-connected hybrid renewable systems. The book is accompanied by an online MATLAB package, which offers examples of each application to help readers understand and evaluate the performance of the various hybrid renewable systems cited. With a focus on the different configurations of hybrid renewable energy systems, it offers those involved in the field of renewable energy solutions vital insights into the control, optimization and supervision strategies for the different renewable energy systems.

Wind power is fast becoming one of the leading renewable energy sources worldwide, not only from large scale wind farms but also from the increasing penetration of stand-alone and hybrid wind energy systems. These systems are primarily of benefit in small-scale applications, especially where there is no connection to a central electricity network, and where there are limited conventional fuel resources but available renewable energy resources. By applying appropriate planning, systems selection and sizing, including the integration of energy storage devices to mitigate variable energy generation patterns, theses systems can supply secure reliable and economic power to remote locations and distributed micro-grids. Stand-alone and hybrid wind energy systems is a synthesis of the most recent knowledge and experience on wind-based hybrid renewable energy systems, comprehensively covering the scientific, technical and socio-economic issues involved in the application of these systems. Part one presents an overview of the fundamental science and engineering of stand-alone and hybrid wind energy systems and energy storage technology, including design and performance optimisation methods and feasibility assessment for these systems. Part two initially reviews the design, development, operation and optimisation of stand-alone and hybrid wind energy systems – including wind-diesel, wind -photovoltaic (PV), wind-hydrogen, and wind-hydropower energy systems – before moving on to examine applicable energy storage technology, including electro-chemical, flywheel (kinetic) and compressed air energy storage technologies. Finally, Part three assesses the integration of stand-alone and hybrid wind energy systems and energy technology into remote micro-grids and buildings, and their application for desalination systems. With its distinguished editor and international team of contributors, Stand-alone and hybrid wind energy systems is a standard reference for all renewable energy professionals, consultants, researchers and academics from post-graduate level up. Provides an overview of the fundamental science and engineering of stand-alone hybrid and wind energy systems, including design and performance optimisation methods Reviews the development and operation of stand-alone and hybrid wind energy systems Assesses the integration of stand-alone and hybrid wind energy systems and energy storage technology into remote micro-grids and buildings, and their application for desalination systems

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.

Hybrid energy systems integrate multiple sources of power generation, storage, and transport mechanisms and can facilitate increased usage of cleaner, renewable, and more efficient energy sources. Hybrid Power: Generation, Storage, and Grids discusses hybrid energy systems from fundamentals through applications and discusses generation, storage, and grids. Highlights fundamentals and applications of hybrid energy storage Discusses use in hybrid and electric vehicles and home energy needs Discusses issues related to hybrid renewable energy systems connected to the utility grid Describes the usefulness of hybrid microgrids and various forms of off-grid energy such as mini-grids, nanogrids, and stand-alone systems Covers the use of hybrid renewable energy systems for rural electrification around the world Discusses various forms and applications of hybrid energy systems, hybrid energy storage, hybrid microgrids, and hybrid off-grid energy systems Details simulation and optimization of hybrid renewable energy systems This book is aimed at advanced students and researchers in academia, government, and industry, seeking a comprehensive overview of the basics, technologies, and applications of hybrid energy systems.

Hybrid-Renewable Energy Systems in Microgrids: Integration, Developments and Control presents the most up-to-date research and developments on hybrid-renewable energy systems (HRES) in a single, comprehensive resource. With an enriched collection of topics pertaining to the control and management of hybrid renewable systems, this book presents recent innovations that are molding the future of power systems and their developing infrastructure. Topics of note include distinct integration solutions and control techniques being implemented into HRES that are illustrated through the analysis of various global case studies. With a focus on devices and methods to integrate different renewables, this book provides those researching and working in renewable energy solutions and power electronics with a firm understanding of the technologies available, converter and multi-level inverter considerations, and control and operation strategies. Includes significant case studies of control techniques and integration solutions which provide a deeper level of understanding and knowledge Combines existing research into a single informative resource on micro grids with HRES integration and control Includes architectural considerations and various control strategies for the operation of hybrid systems

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.