Advanced TSO control rooms to enhance grid observability, stability and resilience

Expected Outcome:Project results are expected to contribute to all the following expected outcomes:Enhanced reliability, resilience, and efficiency of electricity transmission grids. Grid congestion is managed efficiently;Enhanced observability of grids and improved forecasting of supply, demand, grid capacity availability, and flexibility;Transmission system operators (TSO) leverage modern digital solutions and employ improved systems to effectively manage their grids and improve interoperability with other TSOs;Vendor-agnostic reference architectures, solutions and tools are developed to help advancing the TSO control room design and operation. Scope:Projects are expected to address all the following items:Design and test innovative solutions, technologies and processes for advancing the way the TSO control rooms are designed and operated, increasing observability and entailing enhanced support for the operators, providing more automation and enhanced support for decision, faster response times and less room for error. The solutions are expected to incorporate both hardware and software aspects;Analyse and include, as far as possible, solutions for Wide Area Monitoring Systems (WAMS) to extend the real-time monitoring and control capabilities over large areas, while coping with the decentralisation and increased complexity of the system;The novel solutions are expected to help the operators to manage better grid congestion and incorporate more renewables while reducing curtailment. The solutions will facilitate data-driven grid operations, capitalising on real-time analytics and data from smart assets. The solutions may include preparation, recovery and/or restoration from incidents (including extreme weather events);Help the grid operators to update their operational tools in light of the deep transformation of the grids, notably the distributed nature of generation. May include the option to de-centralise the control for increasing the resilience of decision-ma