Baseem Khan (EDT), Sanjeevikumar Padmanaban (EDT), Hassan Haes Alhelou (EDT), Om Prakash Mahela (EDT), S. Rajkumar (EDT) Artificial Intelligence-Based Energy Management Systems for Smart Microgrids

Annotation

Modeling and optimization of energy management systems for micro- and mini-grids play an important role in the fields of energy generation dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text provides an in-depth insight into these topics. This text discusses the use of meta-heuristic and artificial intelligence algorithms for developing energy management systems with energy use prediction for mini- and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, optimal protection coordination-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. Key Features:Presents a comprehensive discussion of mini- and microgrid conceptsDiscusses AC and DC microgrid modeling in detailCovers optimization of mini- and microgrid systems using AI and meta-heuristic techniquesProvides MATLABbased simulations on a mini- and microgridComprehensively discussing concepts of microgrids with the help of software-based simulations, this text will be useful as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology.