The combination of renewable energy sources, storage systems, and electric vehicle stations in a microgrid framework represents a useful solution for electric mobility integration in the distribution network. The coordination between control strategies of microgrids and distribution network is desirable for ensuring safe and cost-effective operation compliant with technical features of the involved infrastructures. In this study, a multi-objective mixed-integer linear programming procedure is proposed aiming at achieving both grid-side and microgrid-side technical optimal targets in the day-ahead scheduling of a radial distribution network integrating DC microgrids. The procedure is applied to a 33-nodes test network integrating 4 DC microgrids based on data of an experimental facility.
Multi-Objective Procedure for Optimal Integration of DC Microgrids in the Distribution Network / Marasciuolo, Francesca; Dicorato, Maria; Tricarico, Gioacchino; Forte, Giuseppe; Sbrizzai, Roberto. - (2024), pp. 01-06. ( 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 Sapienza University of Rome, Faculty of Engineering, Via Eudossiana, 18, ita 2024) [10.1109/eeeic/icpseurope61470.2024.10751487].
Multi-Objective Procedure for Optimal Integration of DC Microgrids in the Distribution Network
Marasciuolo, Francesca
;Dicorato, Maria;Tricarico, Gioacchino;Forte, Giuseppe;Sbrizzai, Roberto
2024
Abstract
The combination of renewable energy sources, storage systems, and electric vehicle stations in a microgrid framework represents a useful solution for electric mobility integration in the distribution network. The coordination between control strategies of microgrids and distribution network is desirable for ensuring safe and cost-effective operation compliant with technical features of the involved infrastructures. In this study, a multi-objective mixed-integer linear programming procedure is proposed aiming at achieving both grid-side and microgrid-side technical optimal targets in the day-ahead scheduling of a radial distribution network integrating DC microgrids. The procedure is applied to a 33-nodes test network integrating 4 DC microgrids based on data of an experimental facility.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

