@misc{190f6a6f0ae4497eb0df57321246e567,
title = "Data-Driven Scalable Emulation of Hydropower Using Real-Time Hardware-in-the-Loop",
abstract = "This presentation covers Motivation: (1) With the increased grid integration of inverter-based resources, hydropower plays a crucial role in maintaining the bulk power system reliability and resilience; and (2) A more dynamic response and new control designs are required to meet the grid requirements. To evaluate any modification, control-prototyping, performance validation and de-risking grid integration of hydropower, a high-fidelity environment is required. Also covers Objectives: (1) To develop data-driven emulation of hydropower using hardware-in-the-loop for different size, types of hydro plants; and (2) To characterize hardware and obtain accurate dynamic response for shaft speed, torque, and power. Provide a mechanical power interface with emulated dynamics of a hydro-turbine shaft that can be coupled to electrical generators for mechanical and electrical PHIL.",
keywords = "electrical, hydropower emulation, inverter-based, power",
author = "Bidur Poudel and Mayank Panwar and Rob Hovsapian",
year = "2023",
language = "American English",
series = "Presented at the 2023 IEEE Power & Energy Society General Meeting, 16-20 July 2023, Orlando, Florida",
type = "Other",
}