Intelligent Integrated Energy Systems

This book presents research results of PowerWeb, TU Delft's consortium for interdisciplinary research on intelligent, integrated energy systems and their role in markets and institutions. In operation since 2012, it acts as a host and information platform for a growing number of projects, ranging from single PhD student projects up to large integrated and international research programs. The group acts in an inter-faculty fashion and brings together experts from electrical engineering, computer science, mathematics, mechanical engineering, technology and policy management, control engineering, civil engineering, architecture, aerospace engineering, and industrial design. The interdisciplinary projects of PowerWeb are typically associated with either of three problem domains: Grid Technology, Intelligence and Society. PowerWeb is not limited to electricity: it bridges heat, gas, and other types of energy with markets, industrial processes, transport, and the built environment, serving as a singular entry point for industry to the University's knowledge. Via its Industry Advisory Board, a steady link to business owners, manufacturers, and energy system operators is provided.

Inhalt
Preface.- Part I: Vision and Projects.- Power Web Projects.- Part II: Methods for Analysis of Future Power Grids.- Topology-Driven Performance Analysis of Power Grids.- Grid Awareness under Normal Conditions and Cyber-Threats.- Part III: Simulations of Future Power Systems.- Globalized Newton-Krylov-Schwarz AC Load Flow Methods for Future Power Systems.- Co-Simulation of Intelligent Power Systems.- Part IV: Coordination and Management of Storage and Flexible Consumption.- Fast Convergence in Electric Vehicle Smart Charging.- Distributed Stochastic Thermal Energy Management in Smart Thermal Grids.- Part V: Vehicle to Grid Technologies and Institutional Arrangements.- Fuel Cell Electric Vehicle-to-Grid Feasibility: A Technical Analysisof Aggregated Units Offering Frequency Reserves.- Part VI: Planning and Scheduling in Renewable-Enriched Energy Grids.- Multi-Agent Planning under Uncertainty for Capacity Management.- Computationally Tractable Reserve Scheduling for AC Power Systems with Wind Power Generation.