The up-to-date reference on energy management of microgrids, using different algorithms and technologies for integrating microgrids with distributed wind, PV, batteries and EV. Wind energy is particularly considered as key pillar of future power systems. 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. This way, stability and power quality are being ensured. They can also be used in small scale systems like microgrids.

Chapter topics start with general techniques before covering systematically microgrids with clean generation, management of wind energy, and then hybrid grids with PV, wind, battery and EV.

Techniques include metaheuristic optimization and hidden neuron count effect, field-programmable gate array, fuzzy logic, classical boolean method, model predictive control, particle swarm optimization, and support vector regression.