This paper presents a guideline for the resilient site selection and design of microgrids to supply power to telecommunication Base Stations (BS), with a focus on zeroemission solutions. The proposed approach includes four main steps: (1) risk analysis to identify high-risk areas, (2) strategic selection of critical BSs based on network relevance and exposure, (3) microgrid design in compliance with Photovoltaic (PV) installation standards, and (4) integration of complementary zero-emission technologies such as Battery Energy Storage Systems (BESS) and hydrogen fuel cells to overcome spatial and generation limitations. The methodology is applied in northern Italy. Results show the real potential for renewable energy generation at selected sites and demonstrate how combining technologies can ensure resilient, uninterrupted service even during grid outages.

Site Selection Framework for Resilient Power Supply of Telecommunication Base Stations

Grimaccia F.;Leva S.
2025-01-01

Abstract

This paper presents a guideline for the resilient site selection and design of microgrids to supply power to telecommunication Base Stations (BS), with a focus on zeroemission solutions. The proposed approach includes four main steps: (1) risk analysis to identify high-risk areas, (2) strategic selection of critical BSs based on network relevance and exposure, (3) microgrid design in compliance with Photovoltaic (PV) installation standards, and (4) integration of complementary zero-emission technologies such as Battery Energy Storage Systems (BESS) and hydrogen fuel cells to overcome spatial and generation limitations. The methodology is applied in northern Italy. Results show the real potential for renewable energy generation at selected sites and demonstrate how combining technologies can ensure resilient, uninterrupted service even during grid outages.
2025
2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2025
9798331595159
Battery Energy Storage
Energy Management System
Model Predictive Control
Optimization
Photovoltaic Systems
Telecommunication Base Stations
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1304588
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