Brianna White

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Jul 30, 2019
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Grid operator SPP is in discussions with Amazon Web Services about using AI to speed interconnection studies for utility-scale solar. A NextEra executive is bringing the idea to other grid operators.
Artificial intelligence, or machine learning, can increase the speed and accuracy of modeling for interconnection studies for large-scale renewables projects, said Xing Wang, global leader for grid modernization for Amazon Web Services (AWS) Energy and Utilities, in a panel discussion convened by the trade group ACORE.
One type of interconnection study uses a model to evaluate how a new solar generating system will affect power flow on the grid. The model predicts power flow “but it doesn’t solve,” Wang said, meaning it doesn’t provide a solution. “You need to find out where the issues are, and that requires years of engineering experience. We have a limited number of people who know how to do that.”
Machine learning can help, Wang said, by looking into a sufficient number of cases that it can provide “some suggestions or recommendations, for example, wherever the power flow is a problem.”
Continue reading: https://pv-magazine-usa.com/2022/10/17/artificial-intelligence-could-speed-interconnection-says-amazon-executive/
 

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