TY - GEN
T1 - An efficient and robust case sorting algorithm for transient stability assessment
AU - Xue, Yusheng
AU - Huang, Tiangang
AU - Li, Kang
AU - Dong, Zhaoyang
AU - Yue, Dong
AU - Xue, Feng
AU - Huang, Jie
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2015/9/30
Y1 - 2015/9/30
N2 - An efficient and robust case sorting algorithm based on Extended Equal Area Criterion (EEAC) is proposed in this paper for power system transient stability assessment (TSA). The time-varying degree of an equivalent image system can be deduced by comparing the analysis results of Static EEAC (SEEAC) and Dynamic EEAC (DEEAC), the former of which neglects all time-varying factors while the latter partially considers the time-varying factors. Case sorting rules according to their transient stability severity are set combining the time-varying degree and fault messages. Then a case sorting algorithm is designed with the 'OR' logic among multiple rules, based on which each case can be identified into one of the following five categories, namely stable, suspected stable, marginal, suspected unstable and unstable. The performance of this algorithm is verified by studying 1652 contingency cases from 9 real Chinese provincial power systems under various operating conditions. It is shown that desirable classification accuracy can be achieved for all the contingency cases at the cost of very little extra computational burden and only 9.81% of the whole cases need to carry out further detailed calculation in rigorous on-line TSA conditions. © 2015 IEEE.
AB - An efficient and robust case sorting algorithm based on Extended Equal Area Criterion (EEAC) is proposed in this paper for power system transient stability assessment (TSA). The time-varying degree of an equivalent image system can be deduced by comparing the analysis results of Static EEAC (SEEAC) and Dynamic EEAC (DEEAC), the former of which neglects all time-varying factors while the latter partially considers the time-varying factors. Case sorting rules according to their transient stability severity are set combining the time-varying degree and fault messages. Then a case sorting algorithm is designed with the 'OR' logic among multiple rules, based on which each case can be identified into one of the following five categories, namely stable, suspected stable, marginal, suspected unstable and unstable. The performance of this algorithm is verified by studying 1652 contingency cases from 9 real Chinese provincial power systems under various operating conditions. It is shown that desirable classification accuracy can be achieved for all the contingency cases at the cost of very little extra computational burden and only 9.81% of the whole cases need to carry out further detailed calculation in rigorous on-line TSA conditions. © 2015 IEEE.
KW - case sorting
KW - Extended Equal Area Criterion (EEAC)
KW - time-varying characteristics
KW - Transient stability
UR - https://www.scopus.com/pages/publications/84956865402
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84956865402&origin=recordpage
U2 - 10.1109/PESGM.2015.7285902
DO - 10.1109/PESGM.2015.7285902
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781467380409
VL - 2015-September
T3 - IEEE Power and Energy Society General Meeting
BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015
PB - IEEE Computer Society
T2 - IEEE Power and Energy Society General Meeting, PESGM 2015
Y2 - 26 July 2015 through 30 July 2015
ER -