As electricity systems become more dynamic and decentralized, traditional grid fee structures are struggling to keep up. Static tariffs based on energy consumption or peak contracts fail to reflect the real-time impact of users on local grid congestion. This white paper explores the case for dynamic, capacity-based grid tariffs—pricing models that vary with time and location to better align user behavior with system needs. Through a real-world pilot in Gotland, Sweden, we show how forecasting, localized price signals, and simple implementation can drive both fairness and efficiency. The end goal: lower operational costs, improved power quality, and a smoother path to a more flexible energy future.
