Title :
A network decoupling transform for phasor data based voltage stability analysis and monitoring
Author :
Xu, W. ; Pordanjani, I.R. ; Yunfei Wang ; Vaahedi, E.
Abstract :
Summary form only given. It is well known that a power network can be represented as a multinode, multibranch Thevenin circuit connecting loads to generators. This paper shows that eigen-decomposition can be performed on the Thevenin impedance matrix, creating a set of decoupled single-node, single-branch equivalent circuits. The decoupled circuits can reveal important characteristics of a power system. By applying the transform to calculated or measured voltage phasor data, a technique for tracking the modes of voltage collapse and for identifying areas vulnerable to voltage collapse has been developed. Case studies conducted on multiple power systems have confirmed the effectiveness of the proposed method. In addition to voltage stability applications, the proposed transform presents a new approach for processing and interpreting multilocation phasor data.
Keywords :
eigenvalues and eigenfunctions; impedance matrix; power system dynamic stability; power system measurement; Thevenin impedance matrix; calculated voltage phasor data; decoupled single-node single-branch equivalent circuits; eigendecomposition; measured voltage phasor data; multilocation phasor data; multinode multibranch Thevenin circuit; network decoupling transform; phasor data-based voltage stability analysis-monitoring; power network; power system; voltage collapse; Generators; Joining processes; Monitoring; Power system stability; Stability analysis; Transforms; Voltage measurement;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6343977