Deep reinforcement learning for real-time power grid topology optimization
In our pursuit of carbon neutrality, drastic changes to generation and consumption of electricity will cause new and complex demands on the power grid and its operators. A cheap, promising, and under-exploited mitigation is real-time power grid topology optimization (RTTO). However, beyond the simplest action of line switching, the combinatorial and non-linear nature of RTTO has made all computati
