Parallel and distributed state estimation Export

@article{FalcaoWu1995, abstract = {The need for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed Energy Management Systems, based on fast data communication networks, open up the possibility of parallel or distributed state estimation implementation. In this paper, this possibility is exploited to derive a solution methodology based on conventional state estimation algorithms and a coupling constraints optimization technique. Numerical experiments show suitable performance of the proposed method with regard to estimation accuracy, convergence robustness and computational efficiency. The results of these experiments also indicate the decoupled nature of the state estimation problem}, author = {Falcao, D. M. and Wu, F. F. and Murphy, L.}, booktitle = {Power Systems, IEEE Transactions on}, citeulike-article-id = {4284291}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/59.387909}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=387909}, doi = {10.1109/59.387909}, journal = {Power Systems, IEEE Transactions on}, keywords = {falcaowu1995, rsef2009}, number = {2}, pages = {724--730}, posted-at = {2009-04-07 13:56:43}, priority = {2}, title = {Parallel and distributed state estimation}, url = {http://dx.doi.org/10.1109/59.387909}, volume = {10}, year = {1995} }

TY - JOUR ID - FalcaoWu1995 L3 - citeulike-article-id:4284291 N2 - The need for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed Energy Management Systems, based on fast data communication networks, open up the possibility of parallel or distributed state estimation implementation. In this paper, this possibility is exploited to derive a solution methodology based on conventional state estimation algorithms and a coupling constraints optimization technique. Numerical experiments show suitable performance of the proposed method with regard to estimation accuracy, convergence robustness and computational efficiency. The results of these experiments also indicate the decoupled nature of the state estimation problem IS - 2 JF - Power Systems, IEEE Transactions on EP - 730 TI - Parallel and distributed state estimation VL - 10 T2 - Power Systems, IEEE Transactions on SP - 724 KW - falcaowu1995 KW - rsef2009 AU - Falcao, DM AU - Wu, FF AU - Murphy, L PY - 1995/// UR - http://dx.doi.org/10.1109/59.387909 ER -