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Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
by
Vallero, Greta
, Cabrera-Tobar, Ana
, Meo, Michela
, Grimaccia, Francesco
, Leva, Sonia
, Perin, Giovanni
in
Adaptability
/ Adaptation
/ Alternative energy sources
/ Back up systems
/ Clean technology
/ Energy efficiency
/ Energy industry
/ Energy management
/ energy management system
/ grid outage
/ model predictive control
/ Renewable resources
/ resilience
/ Scheduling
/ telecommunication network
2025
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Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
by
Vallero, Greta
, Cabrera-Tobar, Ana
, Meo, Michela
, Grimaccia, Francesco
, Leva, Sonia
, Perin, Giovanni
in
Adaptability
/ Adaptation
/ Alternative energy sources
/ Back up systems
/ Clean technology
/ Energy efficiency
/ Energy industry
/ Energy management
/ energy management system
/ grid outage
/ model predictive control
/ Renewable resources
/ resilience
/ Scheduling
/ telecommunication network
2025
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Do you wish to request the book?
Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
by
Vallero, Greta
, Cabrera-Tobar, Ana
, Meo, Michela
, Grimaccia, Francesco
, Leva, Sonia
, Perin, Giovanni
in
Adaptability
/ Adaptation
/ Alternative energy sources
/ Back up systems
/ Clean technology
/ Energy efficiency
/ Energy industry
/ Energy management
/ energy management system
/ grid outage
/ model predictive control
/ Renewable resources
/ resilience
/ Scheduling
/ telecommunication network
2025
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Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
Journal Article
Adaptive Energy Management System for Green and Reliable Telecommunication Base Stations
2025
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Overview
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.
Publisher
MDPI AG
Subject
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