Please use this identifier to cite or link to this item:
Title: Data-driven method for online power system emergency control
Authors: Zhou, Zheng
Keywords: Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Zhou, Z. (2022). Data-driven method for online power system emergency control. Master's thesis, Nanyang Technological University, Singapore.
Abstract: In recent decades, electricity has been involved in almost all aspects of human society. And as the transporter of electricity, power system is being more and more important, or power system can be called the guarantee of electricity. Power system is usually stable, but sometimes it will also have some faults. Especially when nowadays the penetration of renewable energy such as wind energy and photovoltaic energy is increasing, they may make it more challenging to maintain the system’s stability. The increased penetration of these new energies affects the transient and stable stability of power system a lot for their unpredictability. So, there should be some solutions for emergency control against instability. This paper proposes a data-driven method to decide the load shedding range as a power system emergency control method.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
992.57 kBAdobe PDFView/Open

Page view(s)

Updated on Apr 18, 2024


Updated on Apr 18, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.