Hybrid greenhouse microgrids require reliable supervisory information because photovoltaic generation can be degraded by partial shading while critical agricultural loads remain dependent on the available renewable supply. This work presents a MATLAB/Simulink system-level simulation framework for a hybrid greenhouse microgrid integrating photovoltaic generation, wind generation, battery storage, grid support, and representative greenhouse loads. A photovoltaic mismatch-awareness layer based on the EMC indicator, corresponding mathematically to the mean squared error, compares synchronized nominal and disturbed photovoltaic power trajectories using a five-sample moving window. The quantitative evaluation includes an explicit 24-h no-shading baseline together with mild, moderate, and severe imposed shading conditions. The median EMC increased from 6.77×10 3 W 2 under nominal operation to 1.62×10 4 , 8.01×10 4 , and 1.81×10 5 W 2 under mild, moderate, and severe shading, respectively. A comparison with a five-sample windowed mean absolute error (MAE w ) showed that the squared-error formulation provided greater relative separation between the evaluated mismatch-severity conditions; for example, the severe-to-mild median ratio was 11.14 for EMC and 3.52 for MAE w . The results support EMC as a compact supervisory mismatch-awareness signal within the evaluated simulation, while the observed distributions remain scenario-dependent. The framework does not implement closed-loop load scheduling, battery dispatch, grid-support control, or experimental hardware validation.
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Mendez et al. (2026) studied this question.
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