Algorithm for power system dynamic stability studies taking account of the variation of load power

This paper presents a probabilistic algorithm for determining the effect of initial state variation on the dynamic stability of power systems. Variation of operating conditions due to the uncertainties in load and generation is represented by the statistical attributes of nodal voltages. Expectation...

Full description

Saved in:
Bibliographic Details
Published in:Electric power systems research 1998-09, Vol.46 (3), p.221-227
Main Authors: Wang, K.W., Tse, C.T., Tsang, K.M.
Format: Article
Language:English
Subjects:
Applied sciences
Disturbances. Regulation. Protection
Dynamic stability
Eigenvalue distribution
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Operation. Load control. Reliability
Power electronics, power supplies
Power networks and lines
Probabilistic analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a probabilistic algorithm for determining the effect of initial state variation on the dynamic stability of power systems. Variation of operating conditions due to the uncertainties in load and generation is represented by the statistical attributes of nodal voltages. Expectation and covariance are employed to describe the distribution nature of random variables. The expected coefficient matrix in the state space equation is corrected by the second-order covariances. The solution gives the probabilistic distributions and conditional probabilities of eigenvalues. The proposed algorithm is examined on a two test systems.
ISSN:0378-7796
1873-2046
DOI:10.1016/S0378-7796(98)00012-1