@inproceedings{af47ae924ae64840b61dc99773fe2733,
title = "Exploring the Effect of Different Load Models on System Reconfiguration",
abstract = "The self-healing framework has always aimed to restore as many loads as possible following a fault, which is usually accomplished by reconfiguring the power network. In most cases, the load is assumed to be a constant power load, and thus has no effect on the final network topology. According to recent research, the type of load and its equivalent model could influence how the network is reconfigured. This paper highlights and investigates the impact of various load types on the reconfiguration/self-healing scheme. A sensitivity analysis was performed on an islanded IEEE-69 bus system with probabilistic wind turbines (WTs) and several dispatchable distributed generation (DGs) units. The cases examine the system with separate load types and then with a mix of load types. The results show that the load type affects the final topology of the system as well as the amount of energy not served after reconfiguration.",
keywords = "distribution system, load modeling, reconfiguration, Self-healing",
author = "Alkuwaiti, {Rawdha H.} and Farag, {Hany E.Z.} and Wael El-Sayed and Ahmed Al-Durra and El-Sadaany, {Ehab F.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE PES Generation, Transmission and Distribution International Conference and Exposition, GTD 2023 ; Conference date: 22-05-2023 Through 25-05-2023",
year = "2023",
doi = "10.1109/GTD49768.2023.00104",
language = "British English",
series = "Proceedings - 2023 IEEE PES GTD International Conference and Exposition, GTD 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "414--418",
editor = "Sandikkaya, {Mehmet Tahir} and Omer Usta",
booktitle = "Proceedings - 2023 IEEE PES GTD International Conference and Exposition, GTD 2023",
address = "United States",
}