Grid and Islanded Mode of PV Wind Battery System in MATLAB
Here, we delve into the dynamic behavior of a hybrid renewable energy system, comprising photovoltaic (PV) panels and wind turbines, integrated with the grid. The system is designed to intelligently balance power generation, consumption, and grid interaction under varying conditions. We explore different scenarios, including changes in wind speed, irradiation levels, and load variations.
Scenario 1:
Constant Wind Speed and Irradiation In the first scenario, we set the wind speed to 12 m/s and irradiation to 1,000 W/m². The system is simulated with a step time of 1.1 seconds. The results show that the PV system generates 2,000 watts, wind power contributes 2,400 watts, and the battery provides 3,300 watts. The total load is 4,300 watts, with 100 watts lost in the system. This scenario highlights the stable performance of the hybrid system under consistent wind and irradiation conditions.
Scenario 2:
Reduced Irradiation In the second scenario, we reduced irradiation from 1,000 to 500 W/m² while keeping the wind speed constant at 12 m/s. PV power decreases to 1,000 watts, impacting the overall system performance. Wind power and battery contributions remain consistent, showcasing the system's adaptability to changing solar conditions. The simulation results demonstrate a seamless transition under reduced irradiation.
Scenario 3:
Wind Speed Reduction For the third scenario, wind speed is reduced from 12 m/s to 5 m/s, maintaining irradiation at 1,000 W/m². PV power remains at 2,000 watts, while wind power decreases to 2,400 watts. The reduction in wind speed leads to a decrease in battery current, affecting the overall power balance. The system adapts to the changes, with the simulation revealing the impact on wind and battery contributions.
Scenario 4:
Load Variation In the fourth scenario, we introduce a load variation, increasing it from 1,000 to 1,500 watts. The wind speed is maintained at 12 m/s, and irradiation remains constant. PV power and wind power contributions remain consistent, while the battery adjusts to meet increased load demand. The simulation demonstrates the system's ability to handle load variations seamlessly.
Grid Interaction and Operational Modes:
The discussion also covers grid interaction and operational modes of the hybrid system. The system can operate in three modes: standard mode, standalone mode, and grid-connected mode. The decision to draw power from the grid or supply power to the grid is based on conditions such as PV current and the state of charge of the battery. The results showcase how the system intelligently manages its interaction with the grid based on real-time conditions.
Conclusion:
The dynamic analysis of the hybrid renewable energy system demonstrates its resilience and adaptability under various conditions. The combination of PV panels, wind turbines, and intelligent control mechanisms ensures efficient power generation, storage, and integration with the grid. This exploration contributes to our understanding of the complex interactions in hybrid renewable energy systems and their role in sustainable energy solutions.
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