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.
Energy Management Systems for Microgrids with Wind, PV and Battery Storage gives a broad overview of EMS technologies for researchers, designers, operators at electric utilities involved with managing power systems, as well as advanced energy engineering students working on power systems.
Chapters cover AC network performance with flexible alternating current transmission system (FACTS) devices, metaheuristic optimization and hidden neuron count effect on microgrid management. Ensuing chapters will focus on microgrids with storage, with control of microgrids with renewables and storage, while several chapters look at wind energy in smart grids, battery charge in wind turbines, field-programmable gate array for wind turbines, fuzzy logic for wind energy, and classical Boolean methods for hybrid systems with wind, PV and batteries. Later chapters convey model predictive control and particle swarm optimization, and integration of and energy management for EV with support vector regression.
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