Microgrid Methodologies And Emergent Applications
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Microgrid Methodologies and Emergent Applications
Microgrid Methodologies and Applications provides step-by-guide guidance on the implementation of microgrids projects that is informed by current scientific principles, emergent technologies such as modern power electronic interfaces, energy storage systems, multi-vector energy systems, and a close study of recent case studies. Addressing the full end-to-end microgrid project lifecycle, the work encompasses planning, design, operation, control, trading and evaluation, with a significant focus on novel business model, regulation and policy considerations. The book explains to readers how they can operationalize robust microgrids which account for engineering reality, uncertainties, and operating constraints. It delivers precise and rigorous real case studies for project managers, designers and policy and decision-makers. The methodologies section provides step-by-step guidance on implementing projects for postgraduate students, researchers and practitioners, while the applications section provides an array of demonstrative 'case studies which exemplify the use of optimal methods and leading-edge technologies. - Provides step-by-step guidance on the design, operation, control, trading and evaluation of microgrid projects - Demystifies real-world project experience through the evaluation of successful case studies, novel data analysis and comprehensive evaluation rather than cumbersome mathematical formulations - Combines theoretical and practical insights, serving to bridge gaps between theory and engineering operations, control and decision-making - Reviews state-of-the-art topics including business models, trading strategies, pricing, regulatory standards and policy recommendations poised to profoundly affect local energy transitions and utilization of microgrids
Multi Agent Systems
Author: Ricardo Lopez-Ruiz
language: en
Publisher: BoD – Books on Demand
Release Date: 2020-04-22
Research on multi-agent systems is enlarging our future technical capabilities as humans and as an intelligent society. During recent years many effective applications have been implemented and are part of our daily life. These applications have agent-based models and methods as an important ingredient. Markets, finance world, robotics, medical technology, social negotiation, video games, big-data science, etc. are some of the branches where the knowledge gained through multi-agent simulations is necessary and where new software engineering tools are continuously created and tested in order to reach an effective technology transfer to impact our lives. This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. We hope that this book can be useful and become a guide or reference to an audience interested in the developments and applications of multi-agent systems.
Handbook of Research on Emergent Applications of Optimization Algorithms
Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. The Handbook of Research on Emergent Applications of Optimization Algorithms is an authoritative reference source for the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is ideally designed for students, researchers, and engineers interested in emerging developments in optimization algorithms.