This book will help the readers understand the dynamic interaction between the grid and renewable energy, distributed generation integration concerning grid behavior with distributed generation or renewable energy integration, optimal distributed generation placement and sizing, and planning of distribution networks to accommodate increased penetration of alternative generation sources.                                                                                                                                 
This book:

• Discusses impact analysis with increased penetration of distributed generation in the form of wind and solar power plants.                                                                                                     
• Covers applications of machine learning models for optimized interaction between an electric grid and connection of new and alternative power-generating sources.                                                                                                                  
• Explains optimal feeder reconfiguration in distributed generation environment under time-varying loading condition.                                                                                                                  
• Presents the application of machine learning techniques for distributed generation siting and sizing.                                                                                                                
• Explores the interconnection of renewable energy resources in the grid and study of its consequences on small disturbance voltage stability with phasor measurement units.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, energy engineering, renewable energy, computer science, and engineering.