TY - GEN
T1 - Enhancing the computing efficiency of power system dynamic analysis with PSS-E
AU - Meng, Ke
AU - Dong, Zhao Yang
AU - Wong, Kit Po
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 - 2009
Y1 - 2009
N2 - Power system simulator for engineering (PSS-E) has gained great success in power energy industry for its powerful simulation and analysis functions. Along with market deregulation, power system planning and stability analysis warrants more effective and fast techniques due to the ever expanding large-scale interconnection of power networks. Running largescale system multiple case studies on PSS-E will cost intensive time and efforts. In this paper, we accelerate PSS-E dynamic simulations with EnFuzion based distributed computing technique. This approach is proved to be effective by testing with 39-bus New England power system "n-1" and "n-1-1" contingency analysis. The results show that the simulation process can be speeded dramatically and the total elapsed time can be reduced proportionally with the increase of computer nodes. ©2009 IEEE.
AB - Power system simulator for engineering (PSS-E) has gained great success in power energy industry for its powerful simulation and analysis functions. Along with market deregulation, power system planning and stability analysis warrants more effective and fast techniques due to the ever expanding large-scale interconnection of power networks. Running largescale system multiple case studies on PSS-E will cost intensive time and efforts. In this paper, we accelerate PSS-E dynamic simulations with EnFuzion based distributed computing technique. This approach is proved to be effective by testing with 39-bus New England power system "n-1" and "n-1-1" contingency analysis. The results show that the simulation process can be speeded dramatically and the total elapsed time can be reduced proportionally with the increase of computer nodes. ©2009 IEEE.
KW - Distributed computing
KW - EnFuzion
KW - Power system dynamic simulations
KW - PSS-E
UR - https://www.scopus.com/pages/publications/74849098873
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-74849098873&origin=recordpage
U2 - 10.1109/ICSMC.2009.5346062
DO - 10.1109/ICSMC.2009.5346062
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424427949
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 4825
EP - 4829
BT - Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
T2 - 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Y2 - 11 October 2009 through 14 October 2009
ER -