Role Of Ai In The Integration Of Renewable Energy

The proliferation of artificial intelligence (AI) technologies is poised to revolutionize renewable energy production, transmission, and consumption.

FREMONT, CA: Changing climatic conditions is one of the most significant risks to humanity. With an increase in the number of fatalities due to changing climate, governments and energy solution donors are under pressure to discover a supportable mode of renewable energy. Electrical grids establish one of the most complex machines on earth, which is on the road to conversion with the availability of a large number of varying renewable energy. Also, the integration of intelligent control systems and advanced technologies such as artificial intelligence (AI) algorithms are poised to transform the production, transmission, and consumption of renewable energy in the following grid. AI methods can enhance the integration and adoption of renewable energy, thus producing a modernized electrical grid helping the resilience and reliability of the overall grid. Here are the possibilities of AI concerning the sector of renewable energy:

Enhanced Centralized Control Centers

With energy grids getting progressively interconnected, there are new opportunities to utilize the potential of AI algorithms to learn from the data collected over various sensors. It will give grid operators new insights and control methods to cope with alternative energy variability. The algorithms will focus on weather and load predictions enabling a better understanding of the renewable energy in the bulk power system.

Micro-grids Integration

As the number of renewable device sources in the grid increases, managing energy flows within the grid gets difficult. However, renewable sources have a role in solving power quality and congestion issues in the distribution grid. AI-powered control optimization will be critical to the fulfilment of the above. AI algorithms like Intelligent Multi-Agent System and Adaptive Dynamic Programming will improve system optimization and provide real-time control over time as new devices and generation sources are integrated.

Innovative Consumer Devices and Value Streams

Remaking the home with distributed intelligent devices is a trend that is moving to the renewable sector with smart batteries coupled with rooftop solar, energy management systems, and EV chargers. AI drives most of these products and provides new ways for consumers to save money. Such AI-powered control methods can untangle new value streams to consumers and support initiatives such as intelligent inverters with different grid reliability services.

Improving the Resulting Value and Placement of Distributed Renewable Energy

The worth of DER(Distributed Energy Resources) in the distribution system relies on how it is placed within the network's topology and its operation. For instance, a battery situated on a constrained distribution line has a better value than the one used just for solar array load shifting. In the case of an asset supplying multiple benefits to the grid, there will be a rise in the opportunities for renewable energy to contribute to AI due to new valuation models.

Renewable energy sources are the primary areas where AI will contribute to renewable energy integration to transform the conventional grids into a new, modernized electrical grid system.