Title :
Dynamic stability analysis on Yunnan-Guangdong ultra-high voltage AC/DC hybrid transmission system in 2015
Author :
Shu, H.C. ; Sun, S.Y. ; Zhang, M. ; Liao, L.X. ; Wang, Y.N. ; Tao, Y.T. ; Song, Q.L.
Author_Institution :
Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
Till 2015, a large scale, ultra-high voltage and AC/DC hybrid power transmission configuration, including three ±800 kV ultra-high voltage DC systems, will be formed. Eigenvalue and eigenvector of the system are calculated using the eigenvalue analysis method of multi-machine, information of oscillatory mode, such as damping ratio, correlation ratio, right-eigenvector and participation factor, are given under weak damping. Oscillatory modes correlated with sending system Yunnan power network are mainly analyzed, whose modal graphs of right-eigenvector are described. Effective measures to enhance system´s dynamic stability are proposed in this article, which is instructive for the planning of 2015 ultra-high voltage and AC/DC hybrid power transmission system.
Keywords :
HVDC power transmission; eigenvalues and eigenfunctions; graph theory; oscillations; power system stability; power transmission planning; Yunnan power network; Yunnan-Guangdong transmission system; correlation ratio; damping ratio; dynamic stability analysis; eigenvalue analysis method; eigenvalue and eigenvector; modal graphs; multimachine system; oscillatory mode; oscillatory modes; participation factor; power transmission system planning; ultrahigh voltage AC-DC hybrid transmission system; voltage -800 kV; voltage 800 kV; Damping; Dynamic voltage scaling; Educational technology; Eigenvalues and eigenfunctions; Nonlinear equations; Power system analysis computing; Power system dynamics; Power system modeling; Power system stability; Stability analysis; 2015; oscillation mode; power from Yunnan to Guangdong; small signal stability;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5347903
