Energy management for an electro-thermal renewable-based residential microgrid with energy balance forecasting and demand side management

This paper proposes an energy management strategy for a residential microgrid comprising photovoltaic (PV) panels, a small wind turbine and solar thermal collectors. The microgrid can control the power exchanged with the grid thanks to a battery and a controllable electric water heater, which provide two degrees of freedom to the control strategy. As input data, the proposed control strategy uses the battery state of charge (SOC), the temperature of the hot water tank, the power of each microgrid element as well as the demand and renewable generation forecasts. By using forecasted data and by controlling the electric water heater, the strategy is able to achieve a better grid power profile while using a smaller battery than previous works, hence reducing the overall cost of the system. The strategy is tested by means of simulation with real data for one year and it is also experimentally validated in the microgrid built at the Renewable Energy Laboratory at the UPNA.

Automated summary

This paper proposes an energy management strategy for a residential microgrid by using forecasted data and controlling devices to optimize the grid power profile, reducing the overall system cost. The strategy is tested and experimentally validated, showing promising results for improving the efficiency of the microgrid system.