Zone-Based Predictive Control Strategy with Dynamic Reconfiguration under Battery Degradation in Microgrids
DOI:
https://doi.org/10.17979/ja-cea.2026.47.13830Keywords:
Model predictive control, Fault diagnosis, Fault-tolerant control, Control reconfiguration, Migrogrids, Battery energy storageAbstract
This paper presents a fault-tolerant model predictive control (MPC) strategy
applied to a microgrid with renewable generation and battery energy storage.
The proposed approach combines a zone-based MPC controller for the battery
state of charge with a fault detection and diagnosis (FDI) module. The
diagnosis compares the measured battery behavior with the behavior computed
by a reference model, obtaining a functional estimate of the battery state
of health (SOH). This estimate activates a reconfiguration strategy that
updates the internal model of the controller and modifies the admissible
operating band of the state of charge. The architecture is evaluated through
simulation under different battery degradation levels. The results show that
the proposed strategy distinguishes between scenarios with and without
diagnostic activation, improves the performance of the reconfigured controller
compared with the non-reconfigured operation, and reduces the deviations of
the state of charge with respect to the admissible operating zone while
satisfying the power constraints of the system.
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Copyright (c) 2026 Elio Daniel de Queiroz Segundo, Ascensión Zafra-Cabeza, Carlos Bordons
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