Date of Award
Master of Science (MS)
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 technique incorporates a number of modeling assumptions that simplify certain engineering calculations. Despite such simplifications, PSLTDSim demonstrates an acceptable amount of accuracy for ramp and small step type perturbations when compared to industry standard transient simulation software. Demonstrated PSLTDSim engineering applications include: investigation of long-term governor deadband effects, automatic generation control tuning, and switched shunt coordination during multi-hour events. Further demonstrated examples consist of user modified turbine speed governor behavior and variable system damping and inertia.
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under Award Number DE-SC0012671.
Haines, Thad, "LONG-TERM DYNAMIC SIMULATION OF POWER SYSTEMS USING PYTHON, AGENT BASED MODELING, AND TIME-SEQUENCED POWER FLOWS" (2020). Graduate Theses & Non-Theses. 242.