Optimal Siting and Sizing of Battery Energy Storage in Unbalanced Distribution Grids Under Uncertainty

Imagine your city’s power grid as a network of leaky pipes delivering water. At some places the pressure is too high, at others too low, and demand constantly changes. Big water tanks (batteries) can be placed in the network to store extra water when there’s too much and release it when there’s not enough. This paper is about using math and AI-style optimization to decide exactly where to put those tanks and how big they should be so the system runs cheaply and reliably, even when you’re not sure how much water people will use in the future.