1. Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids.
- Author
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Di Piazza, Maria Carmela and Di Piazza, Maria Carmela
- Subjects
Technology: general issues ,battery energy storage ,battery impedance model ,black-start ,cold load pickup ,demand uncertainty ,demand-response ,distributed electronic power converters ,distribution systems ,efficient management ,electrical vehicles ,energy forecasting ,energy management system ,energy resources ,energy storage ,equivalent circuit model ,flexible programming ,forecasting error ,fractional-order model ,heuristic approach ,islanding ,master-slave control approach ,micro-grid planning ,microgrid ,microgrids ,model predictive control ,nanogrid ,optimal power sharing ,power flow control ,real-time control ,real-time simulations ,rolling horizon ,smart buildings ,smart home ,time- domain implementation - Abstract
Summary: Energy management systems (EMSs) are nowadays considered one of the most relevant technical solutions for enhancing the efficiency, reliability, and economy of smart micro/nanogrids, both in terrestrial and vehicular applications. For this reason, the recent technical literature includes numerous technical contributions on EMSs for residential/commercial/vehicular micro/nanogrids that encompass renewable generators and battery storage systems (BSS) The volume "Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids", was released as a Special Issue of the journal Energies, published by MDPI, with the aim of expanding the knowledge on EMSs for the optimal operation of electrical micro/nanogrids by presenting topical and high-quality research papers that address open issues in the identified technical field. The volume is a collection of seven research papers authored by research teams from several countries, where different hot topics are accurately explored. The reader will have the possibility to benefit from original scientific results concerning, in particular, the following key topics: distribution systems; smart home/building; battery energy storage; demand uncertainty; energy forecasting; model predictive control; real-time control, microgrid planning; and electrical vehicles.