Sizing and Management of an Energy System for a Metropolitan Station with Storage and Related District Energy Community

Future renewable energy communities will reshape the paradigm in which we design and control efficient power systems at the district level. In this manner, the focus will be fundamentally shifted towards sustainable related concepts such as self-consumption, self-sufficiency and net energy exchanged with the grid. In this context, the paper presents a novel approach for optimally designing and controlling the photovoltaic plant and energy storage systems for a metro station in order to increase collective self-consumption and self-sufficiency at the district level. The methodology considers a community of several households connected to a subway station and focuses on the interaction between energy sources and consumers. Furthermore, the optimal solution is determined by using a Mixed Integer Linear Programming Approach, and the impact of different configurations on the overall district benefit is investigated by using several simulation scenarios. The work presents a detailed case study to underline the benefits and flexibility offered by the energy storage system in comparison with a scenario involving only a photovoltaic plant.

Automated summary

This paper introduces a novel approach for optimizing the design and control of photovoltaic plants and energy storage systems for a metro station to enhance collective self-consumption and self-sufficiency at the district level. The methodology involves using Mixed Integer Linear Programming to determine the optimal solution and analyzing the impact of various configurations on overall district benefits through simulation scenarios. Additionally, a detailed case study is presented to highlight the advantages and flexibility of energy storage systems compared to scenarios with only photovoltaic plants.