Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid

Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Techno-Economic Feasibility Study of Multi-Energy-Based Hybrid Power System at an Industrial City
Chapter 2: Advancements in Optimizing Smart Energy Systems Through Smart Grid Integration, Machine Learning, and IoT
Chapter 3: Comparative Study of Five Fractional-Order Low Pass Filter Transfer Functions
Chapter 4: Performance of Microturbine as in Microgrid Comparison With Fuel Cell
Chapter 5: Wind Data Pattern and Trend Analysis Using Feature Identification and Extreme Wind Speed Prediction
Chapter 6: Energy Cascade Conversion System and Energy-Efficient Infrastructure
Chapter 7: Optimal Tuning of Single Input Power System Stabilizer Using Quasi-Oppositional Butterfly Optimization Algorithm
Chapter 8: Effective Planning of Renewable Energy System
Chapter 9: Performance Evaluation of a Low Head Hydraulic Air Compressor
Chapter 10: Proficient Dynamic ED Solution With V2G Integration Along With Renewables
Chapter 11: Structured Methods to Increase the Lifetime of Mechanical Products Such as Gear by Parametric Accelerated Life Testing for Power System
Chapter 12: Electromagnetic Energy Harvesting Technologies for Roadways
Chapter 13: Particle Swarm Optimization-Based MPPT for PV Applications and Its Comparison With Incremental Conductance Method
Chapter 14: Design, Modeling, Simulation, and Comparison of Different Converter Topologies for MPPT Techniques
Chapter 15: Sustainable Renewable Energy Sources and Emerging Technologies
Chapter 16: A Review of Renewable Energy Efficiency Technologies
Chapter 17: Realization of Demand Side Management in Smart Grid
Chapter 18: Novel Power Generation Technology Based on Renewable Energy
Chapter 19: Advances in Novel Power Generation Technology and AI Software Tools
Compilation of References
About the Contributors
Index