Power balance automation control technology for multi regional power grid energy storage systems

With the large-scale integration of renewable energy, the volatility and uncertainty of the power grid have significantly increased. The traditional single regional power grid management model is no longer sufficient for modern power systems. Therefore, this article suggests implementing power balance automation control technology for multi-regional power grid energy storage systems. Firstly, it analyzes the composition of multi-regional power grid energy storage systems and establishes a mathematical model for them. Subsequently, it determines the unique point of maximum power output and utilizes maximum power point tracking alongside deep learning algorithms to achieve power balance automation control. Experimental results demonstrate that this approach enhances the stability of power generation output in multi-region power grid energy storage systems and rapidly attains the optimal voltage for their operation.