Electric power system state estimation Export

@article{Monticelli2000, abstract = {This paper discusses the state of the art in electric power system state estimation. Within energy management systems, state estimation is a key function for building a network real-time model. A real-time model is a quasi-static mathematical representation of the current conditions in an interconnected power network. This model is extracted at intervals from snapshots of real-time measurements (both analog and status). The new modeling needs associated with the introduction of new control devices and the changes induced by emerging energy markets are making state estimation and its related functions more important than ever}, author = {Monticelli, A.}, citeulike-article-id = {983830}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/5.824004}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=824004}, doi = {10.1109/5.824004}, journal = {Proceedings of the IEEE}, keywords = {estimation, monticelli2000, power}, number = {2}, pages = {262--282}, posted-at = {2008-07-20 00:56:26}, priority = {4}, title = {Electric power system state estimation}, url = {http://dx.doi.org/10.1109/5.824004}, volume = {88}, year = {2000} }

TY - JOUR ID - Monticelli2000 L3 - citeulike-article-id:983830 N2 - This paper discusses the state of the art in electric power system state estimation. Within energy management systems, state estimation is a key function for building a network real-time model. A real-time model is a quasi-static mathematical representation of the current conditions in an interconnected power network. This model is extracted at intervals from snapshots of real-time measurements (both analog and status). The new modeling needs associated with the introduction of new control devices and the changes induced by emerging energy markets are making state estimation and its related functions more important than ever IS - 2 JF - Proceedings of the IEEE EP - 282 TI - Electric power system state estimation VL - 88 SP - 262 KW - estimation KW - monticelli2000 KW - power AU - Monticelli, A PY - 2000/// UR - http://dx.doi.org/10.1109/5.824004 ER -