TY - GEN
T1 - Probabilistic small signal analysis using Monte Carlo simulation
AU - Xu, Z.
AU - Dong, Z. Y.
AU - Zhang, P.
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 - 2005
Y1 - 2005
N2 - This paper presents a Monte Carlo approach for probabilistic small signal stability (PSSS) analysis in electric power systems with uncertainties. The uncertainties considered include both generation and demand in power systems, though others, such as parameter changes of network components, can be added as well. Probabilistic models of these uncertainties are constructed considering their characteristics. Subsequently, probabilistic small signal stability assessment of the power system is carried out based on eigenvalue analysis via Monte Carlo Simulation. The proposed method is tested by analysing the eigenvalues of two benchmark systems, where stable, unstable and oscillation modes are identified in the probabilistic context. In addition, local and inter-area modes of electro-mechanical oscillation are classified. Relevant discussion of stability enhancement using the proposed approach has been presented as well. The proposed method aims at providing a comprehensive characterization of system stability which can be very helpful in applications, such as system operation and expansion planning in the deregulation with many uncertainties. © 2005 IEEE.
AB - This paper presents a Monte Carlo approach for probabilistic small signal stability (PSSS) analysis in electric power systems with uncertainties. The uncertainties considered include both generation and demand in power systems, though others, such as parameter changes of network components, can be added as well. Probabilistic models of these uncertainties are constructed considering their characteristics. Subsequently, probabilistic small signal stability assessment of the power system is carried out based on eigenvalue analysis via Monte Carlo Simulation. The proposed method is tested by analysing the eigenvalues of two benchmark systems, where stable, unstable and oscillation modes are identified in the probabilistic context. In addition, local and inter-area modes of electro-mechanical oscillation are classified. Relevant discussion of stability enhancement using the proposed approach has been presented as well. The proposed method aims at providing a comprehensive characterization of system stability which can be very helpful in applications, such as system operation and expansion planning in the deregulation with many uncertainties. © 2005 IEEE.
KW - Eigenvalue
KW - Eigenvector
KW - Monte Carlo simulation
KW - Participation factor
KW - Probabilistic methods
KW - Small signal stability
UR - https://www.scopus.com/pages/publications/27144490754
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-27144490754&origin=recordpage
U2 - 10.1109/pes.2005.1489425
DO - 10.1109/pes.2005.1489425
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 078039156
SN - 9780780391567
VL - 2
T3 - 2005 IEEE Power Engineering Society General Meeting
SP - 1658
EP - 1664
BT - 2005 IEEE Power Engineering Society General Meeting
T2 - 2005 IEEE Power Engineering Society General Meeting
Y2 - 12 June 2005 through 16 June 2005
ER -