Augmented system for detecting the steady-state voltage stability margin
被引:2
作者:
Wan, Kaiyao
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机构:
North China Elect Power Univ, State Key Lab Alternat Elect Power Syst Renewable, Beijing, Peoples R ChinaNorth China Elect Power Univ, State Key Lab Alternat Elect Power Syst Renewable, Beijing, Peoples R China
Wan, Kaiyao
[1
]
Jiang, Tong
论文数: 0引用数: 0
h-index: 0
机构:
North China Elect Power Univ, State Key Lab Alternat Elect Power Syst Renewable, Beijing, Peoples R ChinaNorth China Elect Power Univ, State Key Lab Alternat Elect Power Syst Renewable, Beijing, Peoples R China
Jiang, Tong
[1
]
机构:
[1] North China Elect Power Univ, State Key Lab Alternat Elect Power Syst Renewable, Beijing, Peoples R China
power system stability;
bifurcation;
Newton method;
power grids;
voltage control;
augmented system;
steady-state voltage stability margin;
voltage magnitude;
equilibrium manifold;
saddle node bifurcation;
tangent vector Index;
SSVSM;
Newton iteration;
limit induced dynamic bifurcations;
limit induced static bifurcation;
2000-bus synthetic grid;
CONTINUATION POWER-FLOW;
SADDLE NODE BIFURCATION;
MAXIMUM LOADABILITY;
OPTIMIZATION;
COLLAPSE;
POINTS;
BOUNDARY;
TOOL;
D O I:
10.1049/iet-gtd.2020.0713
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
This work provides an augmented system (AS), constructed based on a modified tangent vector Index, i.e. the full derivative of the uncontrollable parameter with respect to the voltage magnitude of critical bus of the system, to directly detect steady-state voltage stability margin (SSVSM). The Newton iteration produced by the AS is illustrated to be able to approach the equilibrium manifold until converging to the saddle node bifurcation, given that the initial point is approaching to the corresponding branch. With the special searching direction, limit induced dynamic bifurcations or limit induced static bifurcation that appear along the equilibrium manifold are able to be located with expected precision by the proposed corrections. Several cases in a 2000-bus synthetic grid exemplify the effectiveness and high efficiency of the algorithm, compared with standard continuation power flow and the predicter-corrector primal dual interior point algorithm for detecting the SSVSM.