Artificial intelligence can help electric utilities mitigate challenges in making renewable energy an equal player in providing power.
FREMONT, CA: Today, power grids across the world are going through a phase of unprecedented change. The grid is changing physically with the addition of a large number of variable renewable energy along with the use of new intelligent control algorithms. This Artificial Intelligence (AI) algorithm is poised to revolutionize the way electric utilities produce, transmit, and consume renewable energy in the next grid. Here are ways AI can improve the integration and adoption of renewable energy resulting in a modernized electric grid.
• Centralized Control Centers
The electric grid is becoming more interconnected as computing, data, and devices are increasing exponentially. This brings new opportunities to use the potential of AI to learn from the collected data. This will provide grid operators with unique insights into control measures to keep pace with the varying sources of renewable energy. AI algorithms focus on climate and load predictions making the integration of renewable energy in electric grids better manageable.
• Integration of Microgrids
Managing distributed energy leads to the adoption of microgrids by electric utilities. As more renewable energy generation is put in the electrical grid, the challenges of managing energy flows within the grid are getting more acute. The involvement of AI-powered optimization can minimize these risks. AI algorithms like adaptive dynamic programming and intelligent multi-agent systems hold great potential to provide real-time control and improve system optimization as new energy sources and devices are integrated.
• Smarter Value Streams
The world is witnessing the remaking of the home with distributed intelligent devices, and this trend is slowly moving to the renewable with smart batteries coupled with solar, electronic vehicle chargers, and energy management systems. AI can drive these new products and provide new ways to save money with transitive energy controls that work on real-time energy pricing. AI-powered control methods can unlock new value streams for electric utilities and customers alike.
The above three areas where AI potential will contribute to renewable energy integration will translate electric utilities into a new, modernized grid.