Introduction
The global transition to renewable energy sources, such as solar and wind power, is essential for mitigating climate change and promoting sustainability. However, these energy sources’ intermittent and variable nature poses significant challenges to grid stability. Artificial intelligence (AI) offers innovative solutions to enhance the reliability and efficiency of power grids by improving the integration of renewable energy. This paper examines the intersection of AI technology and the legal frameworks required to support integrating renewable energy into the grid.
Grid stability is crucial for ensuring a reliable and continuous supply of electricity. The traditional grid infrastructure was designed for centralized power generation, which differs fundamentally from the decentralized and intermittent nature of renewable energy sources (Chong & Li, 2013).
As a result, integrating renewable energy into the grid can lead to imbalances between supply and demand, voltage fluctuations, and frequency variations (Kundur, 1994). These challenges necessitate advanced tools and strategies to maintain grid stability and ensure the efficient operation of power systems.