Learning to Run a Power Network
Following the success of the Horizon prize to predict flows in the French long distance high voltage electricity transmission grid, managed by the company “Réseau de Transport d’Électricité” (RTE, France), we are organizing a new challenge. The goal of this new challenge is to test the potential of Reinforcement Learning (RL) to control electricity transportation in power grids, while keeping people and equipment safe. Hence, it is the "gamification" of a serious problem: operating the grid is becoming increasingly complex because of the advent of less predictable renewable energies, the globalization of energy markets, growth in consumption and concurrent limitations on new line construction. Therefore, it is becoming urgent to optimize more tightly the grid operation, considering a broader range of topological changes operated more frequently, without compromising security.