Fuzzy-based energy management of a residential electro-thermal microgrid based on power forecasting

In this paper, an energy management strategy based on microgrid power forecasting is applied to a residential grid-connected electro-thermal microgrid with the aim of smoothing the power profile exchanged with the grid. The microgrid architecture under study considers electrical and thermal renewable generation, energy storage system (ESS), and loads. The proposed strategy manages the energy stored in the ESS to cover part of the energy required by the thermal generation system for supplying domestic hot water to the residence. The simulation results using real data and the comparison with previous strategy have demonstrated the effectiveness of the proposed strategy.This work is part of the project 2016-PIC-044 and 2018-REV-003 from the Research Group of Propagation, Electronic Control, and Networking (PROCONET) of Universidad de las Fuerzas Armadas ESPE. This work has been partially supported by the Spanish Ministry of Science, Innovation and Universities: grants DPI2013-41224-P, DPI2015-67292, DPI2016-80641-R, and DPI2017-85404-P