ELECTRIMACS 2024 : Selected Papers - Volume 2 (Lecture Notes in Electrical Engineering 1526) (2026. x, 340 S. X, 340 p. 200 illus. in color. 235 mm)

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ELECTRIMACS 2024 : Selected Papers - Volume 2 (Lecture Notes in Electrical Engineering 1526) (2026. x, 340 S. X, 340 p. 200 illus. in color. 235 mm)

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Full Description

This book collects a selection of papers presented at ELECTRIMACS 2024. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, machine learning techniques, and identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy and energy storage systems, batteries, supercapacitors and fuel cells, and wireless power transfer, among others. Contributions included in Volume 2 will be particularly focused on methodological aspects, modelling, and applied mathematics in the field of electrical engineering.

Contents

Chapter 1. A dynamic model of redox flow batteries with solid boosters.- Chapter 2. A preliminary assessment of Dynamic Thermal Rating estimation with temperature nowcasting on embedded devices.- Chapter 3. Alternatives to the use of PLL in grid following converters.- Chapter 4. An enhanced single-diode model of photovoltaic panels for SPICE simulations.- Chapter 5. Apparent-Impedance-Derived State-Space Models of DFIG-based Wind Parks.- Chapter 6. Clustering for typical periods identification in the multi-objective design of Renewable Energy Communities: analyzing quality versus value.- Chapter 7. Co-identification procedure of equivalent circuit model of batteries from short-term experiments.- Chapter 8. Comparison between Conical and Axial Flux Structures of High-Speed Permanent Magnet Synchronous Machines.- Chapter 9. Concentrated winding by quarter for electric boat.- Chapter 10. Data-driven modelling of the irradiance and temperature effect on the photovoltaic model parameters.- Chapter 11. Day-ahead prediction of the automatic Frequency Reserve Restoration utilization energy in the Spanish power system.- Chapter 12. Deep Learning based Heat controller for domestic appliances.- Chapter 13. Electric Vehicle Presence Prediction for Model Predictive Control in Home Energy Management Systems.- Chapter 14. Energy Management of a Zero-Emission Hybrid FC/Battery/Ultracapacitor Ship Using Model Predictive Control.- Chapter 15. Exploring Battery Sizes and Environmental Impact for Sustainable Electric Mobility Understanding.- Chapter 16. Fast response energy storage systems for marine applications.- Chapter 17. Fault analysis of power systems dominated by Power Electronic Interfaced Devices.- Chapter 18. Gradient Boosting-Based Model for Photovoltaic Power Prediction Using Local and Satellite-BasedWeather Data.- Chapter 19. Impact of PLL Bandwidth onWeak Grids Stability during VSC Rectifier and Inverter Operation.- Chapter 20. Improved nonlinear control method of a rotating diode synchronous generator voltage.- Chapter 21. Incremental Capacity Vs. Voltage Curves Efficacy to Diagnose State-Of-Health in Lithium-Ion Batteries with Machine Learning Algorithms.- Chapter 22. Long-term electrical demand forecasting for new shore power applications: A scenario analysis perspective.- Chapter 23. Metaheuristic Approaches to Electric Bus Fleet Charging.- Chapter 24. Methodology for solving nonlinear Plant/Controller optimization problems with a broad time horizon: Application to solar home.- Chapter 25. Observer-Based Flux Controller for Synchronous Reluctance Motor Including Magnetic Saturation.- Chapter 26. Real-time validation of a multi-energy microgrid with dynamic energy management system.- Chapter 27. Robust power control using active disturbance rejection controller for floating offshore wind turbines.- Chapter 28. Sensitivity analysis study of the life cycle assessment of a PHEV considering battery aging.- Chapter 29. Simulation of aerodynamic transients of wind turbines using only their power coefficient expression.- Chapter 30. Small-signal Dynamics on a Converter-Based Energy Island.- Chapter 31. Smart energy management using fuzzy logic rule-based algorithm for hybrid fuel cell/battery/supercapacitor powered naval underwater vehicles.- Chapter 32. Smart Energy Management: Finite Set Model Predictive Control Algorithm for Supercapacitor and Fuel Cell Power Sharing in an OEWIM Configuration.- Chapter 33. Stability Limits of a Grid-Connected Three-Phase PWM Rectifier with Regard to Load Current Variations.- Chapter 34. Stabilizing Constant Power Loads in DC Microgrids Through a Dynamical Voltage Source Behaviour of Source DC-DC Converters.- Chapter 35. State-of-Charge and temperature effects of lithium-ion battery impedance model.

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