Using GIS to Plan Where Electric Vehicles Will Impact the Grid

In an Energy Central article, Guidehouse discusses the best grid infrastructure planning tools for electric vehicle charging stations

Data-derived vehicle registration forecasts can predict how much and when electric vehicle (EV) adoption will occur, but by combining this information with the “where” of network optimization in geographic information system (GIS), the industry can better predict the impact the electrification of transportation will have on the grid.

In an Energy Central article, Guidehouse’s Scott Robinson, associate director, discussed growing adoption of EVs and why GIS should be used in infrastructure planning.

“The future locations of charging stations will play a larger and larger role in distribution planning as the adoption of EVs increases,” Robinson said. “At the same time, the capacity of the grid to meet energy demands as EV technologies advance will be a limiting factor in the rate and efficiency of EV assimilation in communities across the country.”

Therefore, according to the article, it is important to understand where public charging stations will be built, as charging station locations can affect driver behavior. Robinson said planning for this requires advanced optimization techniques in GIS and using the network properties of the roads explicitly, such that vehicle origins are linked to destinations through traffic data.

“We should seek to better integrate GIS into technology adoption forecasting, distribution planning, and integrated resource planning efforts,” Robinson said.

Read the Energy Central Article
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