dc.creator | Monticelli, A | |
dc.date | 2000 | |
dc.date | FEB | |
dc.date | 2014-12-02T16:25:50Z | |
dc.date | 2015-11-26T16:22:31Z | |
dc.date | 2014-12-02T16:25:50Z | |
dc.date | 2015-11-26T16:22:31Z | |
dc.date.accessioned | 2018-03-28T23:04:01Z | |
dc.date.available | 2018-03-28T23:04:01Z | |
dc.identifier | Proceedings Of The Ieee. Ieee-inst Electrical Electronics Engineers Inc, v. 88, n. 2, n. 262, n. 282, 2000. | |
dc.identifier | 0018-9219 | |
dc.identifier | WOS:000085184100011 | |
dc.identifier | 10.1109/5.824004 | |
dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/65440 | |
dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/65440 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/65440 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1268099 | |
dc.description | 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. Tills 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. | |
dc.description | 88 | |
dc.description | 2 | |
dc.description | 262 | |
dc.description | 282 | |
dc.language | en | |
dc.publisher | Ieee-inst Electrical Electronics Engineers Inc | |
dc.publisher | New York | |
dc.publisher | EUA | |
dc.relation | Proceedings Of The Ieee | |
dc.relation | Proc. IEEE | |
dc.rights | fechado | |
dc.rights | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
dc.source | Web of Science | |
dc.subject | bad data analysis | |
dc.subject | generalized state estimation | |
dc.subject | network topology processing | |
dc.subject | observability analysis | |
dc.subject | parameter estimation | |
dc.subject | power systems | |
dc.subject | state estimation | |
dc.subject | topology estimation | |
dc.subject | Current-magnitude Measurements | |
dc.subject | Augmented Blocked Matrices | |
dc.subject | Multiple Bad Data | |
dc.subject | Network Observability | |
dc.subject | Identification | |
dc.subject | Algorithm | |
dc.subject | Topology | |
dc.subject | Placement | |
dc.subject | Branches | |
dc.title | Electric power system state estimation | |
dc.type | Artículos de revistas | |