Title :
Voltage instability alarm by real-time predictive indicators
Author :
Corsi, S. ; Taranto, G.N.
Author_Institution :
CESI Spa., Milan, Italy
Abstract :
This paper proposes real time voltage instability risk indicators based on a reliable identification, through bus local phasor measurements at fast sampling rate, of the Thevenin equivalent seen at any instant by the bus. The effectiveness of the indicator is shown at EHV load and “transit” buses. The prediction criterion is substantially based on the on-line and true real-time recognition of the system operation approaching the nose tip on the PV real curve seen by the considered bus. Moreover the prediction can be anticipated or delayed by the tuning of the identification algorithm speed and of the proposed indicators derivative terms as well. The identification algorithm performance and related predictive indicators are presented through a detailed simulation analysis in different grids. The paper also provides considerations on the single bus voltage instability indicator use to a case of wide area multi-buses system, through the elaboration and coordination of information coming from the PMUs installed in the main system busses, with the aim to recognize the higher risk zones in the area and to enforce the prediction of the overall wide are voltage collapse risk.
Keywords :
identification; phasor measurement; power grids; power system dynamic stability; prediction theory; real-time systems; risk analysis; voltage control; EHV load; PMU; PV real curve; Thevenin equivalent; bus local phasor measurements; fast sampling rate; higher risk zones; identification algorithm; information coordination; information elaboration; main system busses; prediction criterion; real time voltage instability risk indicators; real-time predictive indicators; real-time recognition; simulation analysis; single bus voltage instability indicator; transit buses; voltage collapse risk; voltage instability alarm; wide area multibuses system; Generators; Load modeling; Nose; Phasor measurement units; Prediction algorithms; Real-time systems; Voltage measurement; Long-term Dynamic Simulation; Online VSA; PMU; Real time identification Predictive indicators; Thevenin Equivalent; Voltage Stability;
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.2012.6345506