AI-Driven Integration of Renewable Energy

AI-Driven Integration of Renewable Energy

Energy CIO Insights | Thursday, August 08, 2019

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

FREMONT, CA: Changing climatic condition is one of the greatest threats to humanity. With an increase in the number of casualties due to changing climate, governments and energy solution providers are under pressure to discover a sustainable mode of renewable energy. Electrical grids constitute one of the most complex machines on earth, which is on the road of transformation with the availability of a large number of variable renewable energy. Further, the incorporation of intelligent control systems and advanced technologies such as artificial intelligence (AI) algorithms are poised to revolutionize the production, transmission, and consumption of renewable energy in the next grid. AI methods have the potential to enhance the integration and adoption of renewable energy, thereby producing a modernized electrical grid supporting the resilience and reliability of the overall grid. Here are the possibilities of AI with respect to the sector of renewable energy:

Enhanced Centralized Control Centers

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

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Micro-grids Integration

As the number of renewable device sources is put in the grid increases, the challenges of managing energy flows within the grid get difficult too. However, renewable sources have a role to play in solving power quality and in solving congestion issues in the distribution grid. AI-powered control optimization will be crucial to the fulfillment of the above. AI algorithms such as Intelligent Multi-Agent System and Adaptive Dynamic Programming will not only improve system optimization but also provide real-time control as over time as new devices, and generation sources are integrated.

Innovative Consumer Devices and Value Streams

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

Enhancing the Resulting Value and Placement of Distributed Renewable Energy

The worth of Distributed Energy Resources (DER) in the distribution system depends on how it is placed within the topology of the network and how it is operated. For example, a battery situated on a constrained distribution line has a better value than the one which is being used just for solar array load shifting. In case of an asset providing multiple benefits to the grid, there will be an increase in the opportunities for renewable energy to contribute to AI as a result of new valuation models.

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

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