Real-Time Simulation of a Wind-Solar-Battery Based Microgrid System

The increasing demand for electrical energy with the knowledge of clean technologies has attracted researchers to generate electric power utilizing renewable sources of energy. Therefore, in this article, a wind-batter-solar based microgrid model is considered for studying its performances under various real-time scenarios such as (i) non-availability of wind power, (ii) non-availability of solar power, and (iii) availability of all sources. In this system, vector control schemes are applied to manage the power flow for tracking maximum power. The deep learning-based maximum power point tracking (MPPT) system is used for both solar and wind systems. For real-time validation, the studied model is designed for the RT_LAB environment. The system behavior is also investigated in real-time with OPAL-RT (OP 4510) simulator. Results are investigated thoroughly and it can be concluded that the proposed technique can be operated and implemented in real-time.