Renewable sources integration through the optimization of the load for residential applications. (December 2017)

• Record Type: Journal Article
• Authors: Bartolucci, L.; Cordiner, S.; Mulone, V.; Rocco, V.; Rossi, J.L.
• Is Part Of: Energy procedia. Volume 142(2017)
• Page Start: 2208
• Page End: 2213
• Publication Date: 2017-12
• Subjects: DC MicroGrids -- Model predictive control -- Fuel cells -- Distributed generation -- Renewable energy source -- Demand Response; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.12.590
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: This work presents the implementation of two different control strategies for the control of Microgrids a Model Predictive Control (MPC) technique coupled with a Mixed-Integer Linear Program (MILP) structure and a Rule Based Control (RBC) strategy both applied to a residential MicroGrid. The validation of the models has been performed with an experimental setup laid out in the laboratory of University of Rome - Tor Vergata. Results obtained show that MicroGrids connected to the main network have enough potential to support grid balancing actions, thus allowing for a greater penetration of renewable sources into the mix, and giving economic benefits for both end users and providers. In particular, using a MPC strategy major benefits can be obtained in terms of reduction of the unbalanced energy exchange with the main grid and a more efficient use of the micro-grid components.