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Graduate Theses & Non-Theses

Agent based modeling

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Long-Term Dynamic Simulation Of Power Systems Using Python, Agent Based Modeling, And Time-Sequenced Power Flows, Thad Haines Apr 2020

Long-Term Dynamic Simulation Of Power Systems Using Python, Agent Based Modeling, And Time-Sequenced Power Flows, Thad Haines

Graduate Theses & Non-Theses

Automated controls facilitate reliable and efficient operation of modern power systems. Engineers employ computer simulations to develop, analyze, and tune such controls. Short-term dynamic, or transient, power system simulation is a useful and standardized power industry tool. Researchers have developed effective long-term dynamic (LTD) simulators, but there is not yet an industry standard computational method or software package for LTD simulation.

This work introduces a novel LTD simulation tool and provides examples of various engineering applications. The newly created software tool, Power System Long-Term Dynamic Simulator (PSLTDSim), uses a time-sequenced power flow (TSPF) technique to simulate LTD events. The TSPF …