Energy management strategy for a renewable-based residential microgrid with generation and demand forecasting. (15th November 2015)

• Record Type: Journal Article
• Authors: Pascual, Julio; Barricarte, Javier; Sanchis, Pablo; Marroyo, Luis
• Is Part Of: Applied energy. Volume 158(2015)
• Page Start: 12
• Page End: 25
• Publication Date: 2015-11-15
• Subjects: Microgrids -- Renewable energy -- Energy management -- Forecasting; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2015.08.040
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: An energy management strategy is proposed for a renewable-based microgrid. The strategy seeks to minimize power peaks and fluctuations in the grid. The energy management strategy makes use of demand and generation forecasting. Analysis by means of simulation has been carried out using one-year measured data. Experimental validation has been done in a real size microgrid. Abstract: This paper proposes an energy management strategy for a residential microgrid comprising photovoltaic (PV) panels and a small wind turbine. The microgrid is connected to the main grid, allowing for a controlled power exchange through a battery system and its control strategy. As input data, the proposed control strategy uses the battery state of charge (SOC), the power at each microgrid node as well as the load and renewable generation forecasts. By using forecasted data and correcting any forecasting errors according to the SOC of the battery, the strategy manages to make a better use of the battery resulting in a better grid power profile. The simulation of the system using a one-year data period shows that the proposed energy management strategy results in a better grid power profile for a given storage system when compared with other state-of-the-art strategies. Finally, the proposed strategy was experimentally validated in the microgrid built in the Renewable Energy Laboratory at the UPNa.