Vinod Kumar Singh,
Akash Kumar Bhoi,
Anurag Saxena,
Ahmed F. Zobaa,
Sandeep Biswal
e.a.
Springer Nature Singapore
e druk, 2021
9789813367524
Renewable Energy and Future Power Systems
Specificaties
Gebonden, blz.
|
Engels
Springer Nature Singapore |
e druk, 2021
ISBN13: 9789813367524
Rubricering
Onderdeel van serie
Energy Systems in Electrical Engineering
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network applications in power electronics, deep learning applications in power systems, design and simulation of multilevel inverters, solid state transformers, neural network applications for fault detection in power electronics, etc. The book also discusses the important role of artificial intelligence in power systems, and machine learning for renewable energy. This book will be of interest to researchers, professionals, and technocrats looking at power systems, power distribution, and grid operations.
Specificaties
ISBN13:9789813367524
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore
Inhoudsopgave
<div>Renewable Energy and Economic Dispatch Integration within the Honduras Electricity Market.- Converter/Inverter Topologies for Standalone and Grid-connected PV Systems.- Mission Profile Oriented Reliability Evaluation of Grid Connected PV Inverter Considering Panel Degradation and Uncertainties at Indian Location.- Performance analysis of PI and PR controller for a single-phase PV grid system with effective active and reactive power compensation.- Design and Analysis of Fifth Order Bi-Directional Charger with Vehicle to Grid Application.- Mathematical justification of main parameters for solar heating system.- Photovoltaic Inverter Model in Simulink.- Smart Power Management System for Charging Plug-in Hybrid/Electric Vehicles using Solar PV for software Technology Park.- Enhancement of IEEE 802.11 based network performance using combined optimization of parameters for Smart grid network.- Wind Turbines in Energy Conversion System: Types & Techniques.</div>