Forecasting Transmission and Distribution System Flexibility Needs for Severe Weather Condition Resilience and Outage Management

With the increase in the complexity of the topology of transmission and distribution systems, associated with the predictability in the management of the dispatch of prosumers, new techniques for state estimation, and application of metaheuristics are necessary. In the current work a pilot project in Greece that addresses the difficulties of congestion and balancing management that system operators face in the renewable energy sources era, in accordance with the OneNet's architecture is described. Available resources of grid's flexibility are identified, and the implementation of an integrated monitoring system based on weather conditions with an energy control and dispatch system in the Greek electricity grid is addressed. The document suggests that flexibility resources will derive through predictions that have been improved and efficient forecasts from increased spatial resolution Numerical Weather Predictions and integration of Artificial Intelligence preventing the power system of entering dangerous topological or operational states.

Automated summary

With the increase in complexity of transmission and distribution system topology, new techniques for predicting renewable energy management and state estimation are necessary. This article describes a pilot project in Greece that addresses the challenges of congestion and balancing management in the era of renewable energy sources through an integrated monitoring and energy control system.