Abstract
This work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management System (EMS) for smoothing the grid power profile of a grid-connected electro-thermal microgrid. The case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power when renewable energy sources are incorporated to pre-existing grid-connected household appliances. The scenario considers a residential microgrid comprising photovoltaic and wind generators, flat-plate collectors, electric and thermal loads and electrical and thermal energy storage systems and assumes that neither renewable generation nor the electrical and thermal load demands are controllable. The EMS is built through two low-complexity FLC blocks of only 25 rules each. The first one is in charge of smoothing the power profile exchanged with the grid, whereas the second FLC block drives the power of the Electrical Water Heater (EWH). The EMS uses the forecast of the electrical and thermal power balance between generation and consumption to predict the microgrid behavior, for each 15-minute interval, over the next 12 hours. Simulations results, using real one-year measured data show that the proposed EMS design achieves 11.4% reduction of the maximum power absorbed from the grid and an outstanding reduction of the grid power profile ramp-rates when compared with other state-of-the-art studies.
Highlights
Distributed Generation (DG) systems have emerged as a great alternative to satisfy the growth of consumption demand, mitigate the effects of climate change and in turn contribute to the sustainable society development [1]
In order to better smooth the grid power profile, this paper proposes an Energy Management System (EMS) design for a grid-connected electro-thermal microgrid merging the advantages of using an Fuzzy Logic Control (FLC) to better tune the heuristic approach of [35], combined with the use of forecasted power generation and consumption data
This paper has addressed the design of a fuzzy-based energy management system for grid profile smoothing of a residential grid-connected electro-thermal microgrid
Summary
Distributed Generation (DG) systems have emerged as a great alternative to satisfy the growth of consumption demand, mitigate the effects of climate change and in turn contribute to the sustainable society development [1]. An FLC-based EMS of only 25 rules with an off-line FLC parameters tuning, using measured RES generation and load consumption data for one year, was suggested in [44] and [10] This design was implemented, experimentally tested, and confirmed the better performances on the grid power profile smoothness than those given in [40], while preserving the ESS SOC operation within prefixed safe operation limits. In order to better smooth the grid power profile, this paper proposes an EMS design for a grid-connected electro-thermal microgrid merging the advantages of using an FLC to better tune the heuristic approach of [35], combined with the use of forecasted power generation and consumption data (including the thermal one). They are recalled in the following paragraphs for the sake of paper completeness
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