What is it about?
This paper presents the design of an energy management strategy based on a low complexity Fuzzy Logic Control (FLC) for grid power profile smoothing of a residential grid-connected microgrid including Renewable Energy Sources (RES) and battery Energy Storage System (ESS). The proposed energy management strategy uses generation and demand forecasting to anticipate the future behavior of the microgrid. Accordingly to the microgrid power forecast error and the Battery State-of-Charge (SOC) the proposed strategy performs the suitable control of the grid power. A simulation comparison with previous energy management strategies highlights the advantages of the proposed work minimizing fluctuations and power peaks in the power profile exchanged with the grid while keeping the energy stored in the battery between secure limits. Finally, the experimental validation in a real residential microgrid implemented at Public University of Navarre (UPNa, Spain) demonstrates the proper operation of the proposed strategy achieving a smooth grid power profile and a battery SOC center close to the 75% of the rated battery capacity.
Featured Image
Why is it important?
Explicit power profile control scheme for a grid-connected residential microgrid. Concurrent power profile and battery SOC fuzzy-based control. Comparison of the suggested approach with other works at simulation level. Experimental validation of the proposed control in a real microgrid. The approach would foster the penetration of RES in the existing utility networks.
Read the Original
This page is a summary of: Low complexity energy management strategy for grid profile smoothing of a residential grid-connected microgrid using generation and demand forecasting, Applied Energy, November 2017, Elsevier,
DOI: 10.1016/j.apenergy.2017.07.123.
You can read the full text:
Contributors
The following have contributed to this page