Transmission System Operators plan ahead moving or storing linepack around their networks to fulfil expected future demand with the least cost, while managing uncertainty due to changing weather patterns, unexpected demand, loss of supply, or equipment maintenance and failure. Operators need to be confident that they can safely meet demand while keeping the system within system norms, accounting for a margin of uncertainty, and with optimization of fuel costs. Hydraulic models are essential for validating nominations against compressor commitment and pipeline transportation limits, but traditionally require substantial data entry of hourly nominations by location, and require dedicated engineers to run the models and interpret the results. Using a web application that automates data entry, provides a simple user interface to make adjustments, and then executes models and displays simple results, has proven to be a very powerful tool that can be put in the hands of operators and managers. With no real knowledge of the simulation tools or the model configuration, the control room are able to validate their decisions and get results within minutes, ensuring that AEMO are able to operate their network with a high degree of confidence while minimizing fuel consumption and maximizing efficiency.
Building a Web App that uses models to predict optimal future gas network states for managing nominations and equipment outages
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