Growing shares of intermittent clean generation as well as variable loads lead to challenges for distribution systems at all levels. Energy management systems (EMS) are systems of computer-aided tools used by operators of electric utility grids to monitor, control, and optimize the performance of the generation, distribution or transmission system. EMS help to ensure grid stability and power quality, and can also be used in smaller scale systems such as microgrids.

• Chapter 1: AI and IoT for cost and emission reduction in microgrid energy management
• Chapter 2: Improvement of AC network performance using shunt and hybrid FACTS devices
• Chapter 3: Metaheuristic optimization of electrical distribution systems with energy storage and reactive compensators
• Chapter 4: Classification and hidden neuron count effect on renewable microgrid power management
• Chapter 5: Energy management and voltage control strategy in microgrid using PV and battery
• Chapter 6: Small scale renewable energies and storage for microgrids
• Chapter 7: Advancing sustainable energy: integrating small-scale renewables and storage in microgrids
• Chapter 8: Smart grids with wind energy
• Chapter 9: Battery charge controllers in wind turbine systems
• Chapter 10: Field-programmable gate array implementation: power management for wind turbines with battery
• Chapter 11: Fuzzy logic for grid-connected doubly fed induction generator for wind energy
• Chapter 12: Energy management with classical Boolean method for grid-connected hybrid systems with wind, PV and battery
• Chapter 13: Control of photovoltaic-wind energy systems using MPC and PSO
• Chapter 14: Integration of electrical vehicle into smart grid, opportunities and challenges
• Chapter 15: Energy management for EV: state-of-charge estimation in Li-ion batteries with support vector regression hybrid approach
• Chapter 16: Conclusions and outlook