What are the benefits of using machine learning for power system stability?

Machine learning techniques have been applied to various fields including power systems. The benefits of using machine learning for power system stability are numerous. Machine learning algorithms can help in predicting the power system stability and identifying the critical parameters that affect it. It can also assist in forecasting the load demand, the amount of renewable energy generation, and identifying anomalies in the power system. Moreover, machine learning models can be used to optimize the control of power system devices, such as generators, transformers, and switches, to maintain system stability and avoid blackouts. By utilizing machine learning, power system operators can optimize the performance of the power grid, resulting in higher efficiency, reduced costs, and increased reliability.

This mind map was published on 1 June 2023 and has been viewed 99 times.