Identification and optimal control of an electrical storage system for microgrids with renewables. (March 2019)

• Record Type: Journal Article
• Authors: Delfino, Federico; Ferro, Giulio; Minciardi, Riccardo; Robba, Michela; Rossi, Marco; Rossi, Mansueto
• Is Part Of: Sustainable energy, grids and networks. Volume 17(2019)
• Publication Date: 2019-03
• Subjects: Smart microgrid -- Renewables -- Battery -- Identification -- Model predictive control -- Optimization; Renewable energy sources -- Periodicals; Smart power grids -- Periodicals; Electric power systems -- Periodicals; 333.794
• DOI: 10.1016/j.segan.2018.100183
• Languages: English
• ISSNs: 2352-4677

Abstract

Abstract: Battery systems are becoming more and more widespread for stationary applications both at power grid level and user level. In this second context, small battery-based storage systems are frequently proposed for the installation in combination with local renewable sources, to increase the self-consumption of the locally generated renewable energy and, in some cases, even to enable the user to disconnect from the main network. Increasing use of storage devices for stationary applications implies a more detailed characterization of the "behavior at the terminals" of these systems. In the same time, the development of new Energy Management Systems is required in order to take advantage of both local information and data from the service provider, such as radiation forecasts from weather forecast services. In this paper, a new EMS is proposed, characterized by a two-level architecture: the higher level, based on a receding horizon control scheme, optimally schedules the operation of the storage by using information on radiation from a forecast service provider; the lower level implements a heuristic procedure (if–then) on a low-cost local controller, in order to perform corrective actions. The proposed architecture has been tested on a real case study.