Zafra-Cabeza A. , VELARDE RUEDA, PABLO ANIBAL, Bordons C. , Ridao M.A.
No
IFAC-PapersOnLine
Conference Paper
Científica
01/01/2024
2-s2.0-85204300129
This paper presents a hierarchical MPC-based control framework for a real microgrid including solar panels and batteries, that considers the uncertainty from the point of view of faults and risks (F&R) mitigation. While fault management is applied during plant operation, risk management considers external factors that can change microgrid planning in the medium-long term. Due to their different time-scales, a two-layer control scheme is proposed using Model Predictive Control (MPC) at both levels. At the bottom layer, the fault-tolerant predictive controller optimizes the operation by manipulating inputs to follow microgrid set-points. A reconfiguration strategy is implemented using structured residuals and stochastic thresholds. On the other hand, the upper layer develops an optimal mitigation strategy, also based on MPC, to reduce the effects of risks obtained from external information, i.e., unexpected changes in demands, maintenance costs, or deviations in generation. The decision variables of this layer are the selection of mitigation actions to be undertaken, which minimise a proposed multicriteria objective function. Different simulations have been carried out to show the efficacy of this methodology in a F&R scenario from a stochastic point of view. Copyright © 2024 The Authors.
Battery management systems; Hierarchical systems; Microgrids; Predictive control systems; Risk management; Stochastic control systems; Stochastic models; Control framework; Energy; Faults tolerant controls; Hierarchical control; Hierarchical model; Management systems; Microgrid; Model-predictive control; Risks management; Stochastics; Stochastic systems