Transmission System Outage Cost Analysis and Forward Prediction

Descriptions

Challenge — develop a system that forecasts the most economic cost of power system outages taking account multiple inputs varying from power flow analysis, economic generation despatch, system faults and maintenance, weather and system operation criteria (defined in the NETS SQSS). Requirements — phased development and delivery of a machine learning model that will output a risk type view (e.g. Monte Carlo distribution) of forecast outage cost against differing scenarios. The cost output will be for an individual project/circuit intervention (given a background of scenarios or outage configurations defined by the user). This PIN is an expression of interest at this time. Providers maybe invited to tender at the sole discretion of National Grid. Any subsequent tender event will not be subject to the Utilities Contract Regulations 2016 in accordance with Regulation (16).