Methods to simplify the microgrid model include

What control methods are used in microgrid management?

In this study, a review of recent control methods applied in microgrid management was conducted with a focus on AI, optimization, and predictive techniques. These advanced and intelligent control methods were chosen for their potential to address current challenges. This study examined the benefits, limitations, and areas for future improvement.

What are the control objectives of microgrids?

Energy and power management is another control objective, with 58 papers proposing artificial intelligence (AI), optimization, and predictive methods. Researchers use all types of control techniques to manage the power flow and energy in microgrids with an almost equal number of papers for each technique.

Which mathematical techniques are used in microgrid optimization?

Quadratic programming, Linear programming, and mixed integer linear programming (MILP) are the most used mathematical techniques in microgrid optimization thanks to their precision and effectiveness in solving optimization problems [, , ].

What keywords are used in microgrid research?

The keywords used were: “microgrid control,” “microgrid optimization,” “Predictive control microgrid,” “energy management,” “voltage and frequency control microgrid,” “power management,” “AI microgrid,” “microgrid MPC,” and “Model Predictive Control microgrid.” The databases used to find articles included Scopus, Web of Science, and Google Scholar.