Date: 6 December 2024, Friday
Time: 4:30pm
Venue: YEUNG-B5311, City University of Hong Kong
Zoom Meeting ID: 859 2865 1236
Password: 123456
Speaker: Miss Zhenxi Wu, City University of Hong Kong
Comprehensive Analysis Framework for DC Electrical Networks: Evaluating Existence, Algorithm Convergence, Stability of Equilibrium
Miss Zhenxi Wu, City University of Hong Kong
Abstract: Stability analysis programs are essential tools for power system planning and operations engineers, allowing them to forecast the system’s response to various disturbances. The outcomes of these stability studies inform critical conclusions and decisions. In this talk, we will present a comprehensive analysis framework to guarantee the correct operation of DC electrical network with large-scale renewable distributed generators (DGs) and constant power loads (CPLs). In addition to an overview, new results are offered. Firstly, analytical solvability conditions based on fixed point theorems for the power flow equation are given and compared, and the strongest analytical solvability condition is presented. Secondly, we obtain the convergence condition about the initial iterative value of Newton-Raphson method for power flow calculations. Thirdly, we extract the intrinsic characteristics of the Jacobian Matrix of the DC electrical network and derive the sufficient local stability conditions. Finally, we propose an algorithm of ROA estimation with less computations and complexity to analyze the transient stability of the system.
Speaker’s Bio: Zhenxi Wu received the B.Eng. degree in electrical engineering and automation from Central South University, Changsha, China, in 2020. She is currently pursuing the Ph.D. degree with the Department of Electrical Engineering, City University of Hong Kong and the Ph.D. degree in control science and engineering, Central South University. Her current research interests include stability analysis of power electronic-based power systems and control of power electronics converters.
WEBINAR WEBSITE:
https://www.ee.cityu.edu.hk/~cccn/webinar/
