ANN-based model predictive control for stabilising voltage oscillations in DC microgrid with constant power load

Key Points

• To develop an artificial neural network-based model predictive control approach for stabilizing voltage oscillations in a DC microgrid.
• Utilized artificial neural networks for predicting and controlling voltage levels.
• Applied model predictive control strategies to regulate power loads.
• Analyzed the impact of constant power loads on voltage stability.
• Successfully stabilized voltage oscillations under varying operational conditions.
• Demonstrated improved performance in managing constant power loads compared to traditional methods.