Simulation of energy management system using model predictive control in AC/DC microgrid.

ABSTRACT: This research seeks to enhance energy management systems (EMS) within a microgrid by focusing on the importance of accurate renewable energy prediction and its strong correlation with load curtailment. Analyzing the precision of disturbance predictions, reveals that predicting one hour in advance is more effective than immediate predictions or those made several hours beforehand. Furthermore, the study investigates scheduling load curtailment to manage peak power from renewable energy sources by comparing two distinct strategies: Case 1, which implements curtailments in both morning and afternoon, and Case 2, which focuses solely on midday curtailment. The findings indicate that Case 1 effectively aligns load management with the peak output of photovoltaic (PV) energy, thereby reducing rel

SUBMITTER: Nassereddine K 

PROVIDER: S-EPMC11825707 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature