Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 598 g
Reihe: Energy Systems
Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 598 g
Reihe: Energy Systems
ISBN: 978-3-030-36117-4
Verlag: Springer International Publishing
This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well as the challenges introduced by distributed power generation and smart grid resources. It also presents recent models, solution techniques and computational tools to solve planning problems for power distribution systems and explains how to apply them in distributed and variable energy generation resources. As such, the book therefore is a valuable tool to leverage the expansion and operation planning of electricity distribution networks.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft
Weitere Infos & Material
Optimal Volt/Var Control Applied to Modern Distribution Systems.- Consensus Based Distributed Optimal ReactivePpower Control in Power Distribution Systems.- Linear Model to Represent Unbalanced Distribution Systems in Optimization Problems.- Convex Optimization for the Optimal Power Flow on DC Distribution Systems.- Energy Storage System Sitting and Sizing for Renewable Support.- Distribution System Operation with Energy Storage and Renewable Generation Uncertainty.- Network Reconfiguration in Modern Power Distribution Networks.- Switch Optimization for Smart Grid Distribution Automation.- Optimal Restoration of Electrical Distribution Systems Considering Switching Sequence.- Electric Distribution Network Planning Under Uncertainty.- Phase Balancing in Power Distribution Grids: A Genetic Algorithm with a Group-based Codification.- Deterministic and Probabilistic Models for Energy Management in Distribution Systems.