TY - JOUR
T1 - Local Identification of Voltage Instability from Load Tap Changer Response
AU - Weckesser, Johannes Tilman Gabriel
AU - Papangelis, Lampros
AU - Vournas, Costas D.
AU - Van Cutsem, Thierry
PY - 2017
Y1 - 2017
N2 - This paper presents a local long-term voltage instability monitoring method, which is suitable for on-line applications. The proposed extended-time Local Identification of Voltage Emergency Situations (eLIVES) method is a significantly modified version of the previously presented LIVES method. The new method is not bound to assessing system response over a predefined LTC tapping period. This allows handling LTCs with variable delays, as well as events taking place during the tapping sequence impacting the distribution voltages. For that purpose, eLIVES applies recursive least square fitting to acquired distribution voltage measurements and a new set of rules to detect a voltage emergency situation. The effectiveness of the eLIVES method is presented on the IEEE Nordic test system for voltage stability and security assessment.
AB - This paper presents a local long-term voltage instability monitoring method, which is suitable for on-line applications. The proposed extended-time Local Identification of Voltage Emergency Situations (eLIVES) method is a significantly modified version of the previously presented LIVES method. The new method is not bound to assessing system response over a predefined LTC tapping period. This allows handling LTCs with variable delays, as well as events taking place during the tapping sequence impacting the distribution voltages. For that purpose, eLIVES applies recursive least square fitting to acquired distribution voltage measurements and a new set of rules to detect a voltage emergency situation. The effectiveness of the eLIVES method is presented on the IEEE Nordic test system for voltage stability and security assessment.
KW - Power system dynamics
KW - Voltage stability
KW - On-line stability monitoring
U2 - 10.1016/j.segan.2017.01.001
DO - 10.1016/j.segan.2017.01.001
M3 - Journal article
SN - 2352-4677
VL - 9
SP - 95
EP - 103
JO - Sustainable Energy, Grids and Networks
JF - Sustainable Energy, Grids and Networks
ER -