Alternative Sources of Energy Modeling, Automation, Optimal Planning and Operation

George S Stavrakakis

ISBN 10: 3036557113 / ISBN 13: 9783036557113

Published by Mdpi AG, 2022

About this Item

Seller Inventory # LU-9783036557113

Bibliographic Details

• Title: Alternative Sources of Energy Modeling, Automation, Optimal Planning and Operation
• Publisher: Mdpi AG
• Publication Date: 2022
• Language: English
• ISBN 10: 3036557113
• ISBN 13: 9783036557113
• Binding: Hardback
• Condition: New
• Dimensions: 16.99W x 2.06H x 24.41D centimeters 16.99 centimeters width by 2.06 centimeters height by 24.41 centimeters depth
• Weight: 739 grams

About this title

Synopsis

An economic development model analyzes the adoption of alternative strategy capable of leveraging the economy, based essentially on RES. The combination of wind turbine, PV installation with new technology battery energy storage, DSM network and RES forecasting algorithms maximizes RES integration in isolated islands. An innovative model of power system (PS) imbalances is presented, which aims to capture various features of the stochastic behavior of imbalances and to reduce in average reserve requirements and PS risk. Deep learning techniques for medium-term wind speed and solar irradiance forecasting are presented, using for first time a specific cloud index. Scalability-replicability of the FLEXITRANSTORE technology innovations integrates hardware-software solutions in all areas of the transmission system and the wholesale markets, promoting increased RES. A deep learning and GIS approach are combined for the optimal positioning of wave energy converters. An innovative methodology to hybridize battery-based energy storage using supercapacitors for smoother power profile, a new control scheme and battery degradation mechanism and their economic viability are presented. An innovative module-level photovoltaic (PV) architecture in parallel configuration is introduced maximizing power extraction under partial shading. A new method for detecting demagnetization faults in axial flux permanent magnet synchronous wind generators is presented. The stochastic operating temperature (OT) optimization integrated with Markov Chain simulation ascertains a more accurate OT for guiding the coal gasification practice.