Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations

Telecommunication Base Transceiver Stations (BTSs) require a resilient and sustainable power supply to ensure uninterrupted operation, particularly during grid outages. Thus, this paper proposes an Adaptive Model Predictive Control (AMPC)-based Energy Management System (EMS) designed to optimize energy dispatch and demand response for a BTS powered by a renewable-based microgrid. The EMS operates under two distinct scenarios: (a) non-grid outages, where the objective is to minimize grid consumption, and (b) outage management, aiming to maximize BTS operational time during grid failures. The system incorporates a dynamic weighting mechanism in the objective function, which adjusts based on real-time power production, consumption, battery state of charge, grid availability, and load satisfaction. Additionally, a demand response strategy is implemented, allowing the BTS to adapt its power consumption according to energy availability. The proposed EMS is evaluated based on BTS loss of transmitted data under different renewable energy profiles. Under normal operation, the EMS is assessed regarding grid energy consumption. Simulation results demonstrate that the proposed AMPC-based EMS enhances BTS resilience.

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Publication Details

Journal
Energies
Published
2025-11-22
DOI
https://doi.org/10.3390/en18236115
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations

Francesco Grimaccia, Ana Cabrera-Tobar, Sonia Leva, Greta Vallero et al.
Energies
Microgrid Control and Optimization
article

Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations

Francesco Grimaccia, Ana Cabrera-Tobar, Sonia Leva, Greta Vallero, Giovanni Perin, Michela Meo
article en

Abstract

Telecommunication Base Transceiver Stations (BTSs) require a resilient and sustainable power supply to ensure uninterrupted operation, particularly during grid outages. Thus, this paper proposes an Adaptive Model Predictive Control (AMPC)-based Energy Management System (EMS) designed to optimize energy dispatch and demand response for a BTS powered by a renewable-based microgrid. The EMS operates under two distinct scenarios: (a) non-grid outages, where the objective is to minimize grid consumption, and (b) outage management, aiming to maximize BTS operational time during grid failures. The system incorporates a dynamic weighting mechanism in the objective function, which adjusts based on real-time power production, consumption, battery state of charge, grid availability, and load satisfaction. Additionally, a demand response strategy is implemented, allowing the BTS to adapt its power consumption according to energy availability. The proposed EMS is evaluated based on BTS loss of transmitted data under different renewable energy profiles. Under normal operation, the EMS is assessed regarding grid energy consumption. Simulation results demonstrate that the proposed AMPC-based EMS enhances BTS resilience.

EnergiesVol. 18(23)
University of Padua (IT), Politecnico di Torino (IT), National Polytechnic School (EC), University of Brescia (IT), Politecnico di Milano (IT)
European Commission
Openalex Percentile: Top 55%
Microgrid Control and Optimization
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Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations — Francesco Grimaccia, Ana Cabrera-Tobar, et al. · Energies (2025) | TGRS Research Map | TGRS