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Diese Arbeit zeigt, wie PLC-Systeme zu einer IKT-Infrastruktur für Smart Grids beitragen können. Auf Basis möglicher Anwendungen werden Anforderungen und Systemansätze vorgestellt. Analysen des Übertragungskanals nach EN 50065 dienen als Basis für die Evaluation von Modulationsverfahren unter quasi-realen sowie eines PLC-Systems unter realen Bedingungen. Dargelegt werden Kriterien zur Auswahl von Modulationsverfahren und ein Systementwurf zur Steigerung der Zuverlässigkeit der Datenübertragung.

Powerline Kommunikation, Kanalmodell, Smart Grid, Mehrträgermodulation, Zuverlässigkeit

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The present work describes a charging management with integrated charging optimization for electric vehicles that can be provided to a fleet by a fleet operator or to a group of private customers by a loading infrastructure operator. Aim of this charging optimization is the calculation of an optimized charging plan by considering the electricity price as well as hard capacity boundaries and user requirements. This charging optimization is designed and implemented within the scope of this work.

Elektromobilität, Smart Grid, Demand Response, Optimierung, Evolutionäre AlgorithmenElectromobility, Smart Grid, Demand Response, Optimization, Evolutionary Algorithms

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The increase in decentralized, volatile electricity generation as result of the German energy system transformation causes congestions in electricity grids. IT networking and coordination of producers and consumers in smart grids promises a solution to these problems. In this context, this work presents an energy management approach that approximates specified, aggregated power profiles. The approach uses power forecasts and flexibilities and takes network restrictions into account.

Energiemanagement --- Smart Grid --- multikriterielle Optimierung --- Energiemanagement-Architektur --- Lastprognoseenergy management --- smart grid --- multi-objective optimization --- energy management architecture --- load forecast

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This issue is a continuation of the previous successful Special Issue “Wind Turbines 2013”. Similarly, this issue also focuses on recent advances in the wind energy sector on a wide range of topics, including: wind resource mapping, wind intermittency issues, aerodynamics, foundations, aeroelasticity, wind turbine technologies, control of wind turbines, diagnostics, generator concepts including gearless concepts, power electronic converters, grid interconnection, ride-through operation, protection, wind farm layouts - optimization and control, reliability, operations and maintenance, effects of wind farms on local and global climate, wind power stations, smart-grid and micro-grid related to wind turbine operation.

wind turbine generator system --- wind farm --- wind speed prediction --- forecasting --- wind power --- off shore --- reliability --- fault tree analysis --- vertical-axis wind turbines --- smart grid --- wind power integration

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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

artificial intelligence --- demand response --- energy --- policy making --- genetic algorithm --- multiple kernel learning --- non-intrusive load monitoring --- smart grid --- smart metering --- support vector machine --- smart cities --- smart villages --- scheduling --- demand side management --- smart grid --- home energy management --- NILM --- energy disaggregation --- MCP39F511 --- Jetson TX2 --- transient signature --- decision tree --- LSTM --- wireless sensor networks --- energy efficient coverage --- distributed genetic algorithm --- smart grid --- forecasting --- load --- price --- CNN --- LR --- ELR --- RELM --- ERELM --- insulator --- Faster R-CNN --- object detection --- RPN --- deep learning --- load disaggregation --- nonintrusive load monitoring --- conditional random fields --- feature extraction --- mud rheology --- drill-in fluid --- artificial neural network --- Marsh funnel --- plastic viscosity --- yield point --- static young’s modulus --- artificial neural networks --- self-adaptive differential evolution algorithm --- sandstone reservoirs --- non-intrusive load monitoring --- home energy management systems --- ambient assisted living --- demand response --- machine learning --- internet of things --- smart grids --- artificial intelligence --- computational intelligence --- energy management --- machine learning --- optimization algorithms --- sensor network --- smart city --- smart grid --- sustainable development