GE Energy Consulting has been active in the study of geomagnetic disturbances’ effects on power systems since the late 1980s. ProvisoHD has become the standard post-processing tool for engineers performing analysis with SSTOOLS. As a result, SSTOOLS output files can be very large (multiple GB) and fast, efficient analysis of results is critical. Reliability standards are driving planning engineers to analyze a larger number of contingencies. ProvisoHD is a software tool that enables users to quickly and visually analyze post-contingency data produced by SSTOOLS. SSTOOLS offers users tremendous flexibility and has become the Steady State Contingency Analysis Tool of choice for PSLF. Thousands of contingencies can be simulated in each run. The Steady State Analysis package for GE PSLF allows users to perform traditional thermal and voltage analysis, static voltage stability analysis and transfer limit analysis. The input format allows engineers to define contingencies in plain terms very similar to SSTOOLS and does not require the use of EPCL. Our embedded dynamic contingency analysis tool DYTOOLS is designed to assist planning engineers in the batch processing of dynamic stability simulations. Users may also model and simulate remedial action schemes (RAS) within dynamic simulations. This tool can be run in batch mode, allowing the execution of multiple dynamic simulations without requiring user interaction. The Dynamic Analysis package in PSLF allows users to perform transient stability analysis for multiple events on cases containing up to 125,000 buses. A complete set of tools allows the user to switch smoothly between data visualization, system simulation, and results analysis. The algorithms for power-flow and dynamic system analysis in the PSLF suite have been developed to handle large utility-scale systems of up to 125,000 buses. GE Energy Consulting recognizes these imperatives, and has developed GE PSLF. When performing these analyses, efficient algorithms are just as important as the engineering models in which the data is used. Effective power system analysis often requires large-scale simulations and manipulation of large volumes of data.
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