Multi-objective Optimization of a Local Energy Community with distributed energy storage systems in Italy

Abstract

Energy Storage Systems are becoming necessary for the upcoming Smart Distribution Systems thanks to the flexibility they introduce in the network operation. Since their costs are still high, optimal planning and management of these devices are crucial to identify specific configurations that can support storage installation. This consideration has motivated a strong interest of the researchers in this field that, however, have separately solved the optimal storage systems location and their optimal schedule. In the paper, a novel Multi-Objective approach is presented, based on the Non-dominated Sorted Genetic Algorithm – II integrated with a real codification that allows joining in a single optimization all the main features of an optimal storage implementation project. The paper is focused on the potential of a Local Energy Community of residential prosumers (with photovoltaic and storage systems) that can support the operation of the distribution system. In particular, pilots selected in the EU project StoRES (Promotion of higher penetration of distributed PV through storage for all) constitutes the Local Energy Community. Application examples are presented to illustrate the algorithm effectiveness.