PDF

Stability of Droop-Controlled Low-Frequency Transmission Lines

Rafael Castillo-Sierra, Giri Venkataramanan

2023enac transmissioncontrol strategystability analysispower systems

Abstract

Language:

Low-Frequency AC (LFAC) transmission systems employing power converters are being considered for a variety of applications. This work studies the small-signal stability of an LFAC transmission line controlled by the Droop Control Strategy. Eigenvalue Analysis is used to determine how the controller droop gains, operating frequency, transmission line parameters, and the operating point affect system stability. The results show that the overall system’s dynamic is governed by the sum of the droop gains of the AC/AC converters. Analytical results that give insights on how the different system’s parameters affect the critical stability point are presented. The results indicate that system stability is affected by the line’s length, the line’s R/X ratio, operating frequency and voltage.

Download

Cite This Work

@article{eeaf73e4-7fe0-4acb-b60b-4768b763f32e,
  title={Stability of Droop-Controlled Low-Frequency Transmission Lines},
  author={Rafael Castillo-Sierra and Giri Venkataramanan},
  year={2023},
  language={en}
}
TY  - JOUR
TI  - Stability of Droop-Controlled Low-Frequency Transmission Lines
AU  - Rafael Castillo-Sierra
AU  - Giri Venkataramanan
PY  - 2023
LA  - en
ER  -

Similar Items

BLAST FURNACE IRONMAKING: Analysis, Control, and Optimization

Ian Cameron, Mitren Sukhram

This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.

2020enPDF

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Optimization of Integrated Steel Plant R

This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data

2025enPDF