NDLI: Stability analysis of AC/DC power transmission system based on bifurcation theories

Content Provider	IEEE Xplore Digital Library
Author	Yang, X. Chen, Y. Shu, H.L.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China (Yang, X.)
Abstract	Bifurcation theories are widely applied in the analysis of both static and dynamic characteristics of power systems for they can be of tremendous value for our understanding of the instability issues of a power system. In this paper, the dynamic characteristics of a power system with HVDC transmission system has been studied with nonlinear bifurcation theory, in addition, eigenvalues analysis and time-domain simulation are also used to study this problem. First, the dynamic stability of the control modes of HVDC system are studied with bifurcation analysis and the relationships between dynamic analysis and static analysis of HVDC are revealed, factors that affect HVDC stability has been pointed out. Second, bifurcation theory is applied to the analysis of an AC/DC interacting power system. With the single-parameter and multi-parameter bifurcation analysis, it's been showed that increasing the magnitude of power ratio in a DC transportation system can greatly improve the system stability; while too much HVDC controlling amplification is detrimental to the system stability.
Starting Page	1
Ending Page	7
File Size	285823
Page Count	7
File Format	PDF
ISBN	9781424449347
DOI	10.1109/SUPERGEN.2009.5348341
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	HVDC transmission Power system dynamics Power system simulation Power transmission Power system analysis computing Bifurcation Power system stability Bifurcation Theories AC/DC power transmission Control systems Stability analysis Nonlinear dynamical systems
Content Type	Text
Resource Type	Article

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