Power system state estimation via globally convergent methods
作者： S. Pajic , K.A. Clements
DOI: 10.1109/TPWRS.2005.857383
关键词:
摘要: This paper introduces backtracking and trust region methods into power system state estimation. The traditional Newton (Gauss-Newton) method is not always reliable particularly in the presence of bad data, topological or parameter errors. motivation was to enhance convergence properties estimator under those conditions, together with QR factorization make a globally convergent algorithm. formulation shows that such model more robust than Backtracking (line search) Both algorithms have been programmed applied representative networks, computational requirement has found.
sci-hub.se 参考文章(15)
Nicholas I. M. Gould, Philippe L. Toint, Andrew R. Conn, Trust Region Methods ,(1987)
A. Monticelli, State Estimation in Electric Power Systems: A Generalized Approach ,(2011)
J. J. More, D. C. Sorensen, Newton's Method Argonne National Laboratory. ,(1982) , 10.2172/5326201
D. C. Sorensen, Newton's method with a model trust region modification SIAM Journal on Numerical Analysis. ,vol. 19, pp. 409- 426 ,(1982) , 10.1137/0719026
Gerald A. Shultz, Robert B. Schnabel, Richard H. Byrd, A Family of Trust Region Based Algorithms for Unconstrained Minimization with Strong Global Convergence Properties. SIAM Journal on Numerical Analysis. ,vol. 22, pp. 47- 67 ,(1982) , 10.1137/0722003
A. Bose, K.A. Clements, Real-time modeling of power networks Proceedings of the IEEE. ,vol. 75, pp. 1607- 1622 ,(1987) , 10.1109/PROC.1987.13930
L. Holten, A. Gjelsvik, S. Aam, F.F. Wu, W.-H.E. Liu, Comparison of different methods for state estimation IEEE Transactions on Power Systems. ,vol. 3, pp. 1798- 1806 ,(1988) , 10.1109/59.192998
R.A.M. van Amerongen, On convergence analysis and convergence enhancement of power system least-squares state estimators IEEE Transactions on Power Systems. ,vol. 10, pp. 2038- 2044 ,(1995) , 10.1109/59.476073
Robert B. Schnabel, J. E. Dennis, Numerical methods for unconstrained optimization and nonlinear equations ,(1983)
Jorge J. Moré, D. C. Sorensen, Computing a Trust Region Step SIAM Journal on Scientific and Statistical Computing. ,vol. 4, pp. 553- 572 ,(1983) , 10.1137/0904038