Work

Power System Modeling for Identification and Control Applications using Modelica and OpenIPSL

Year: 2024

Type: conference-paper

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta60707.2024.10666594

Authors: Luigi Vanfretti, Christopher R. Laughman

Institutions: Rensselaer Polytechnic Institute, Mitsubishi Electric Research Laboratories (United States)

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4402453384

FWCI: 0.78

Cites: 32

Cited by: 1

Related to: 10