Abstract
dc:description.abstractThe application of robust estimation methods to the power system state estimation problem was investigated. Techniques using both nonlinear and combinatorial optimization were considered, based on the requirements that the method developed should be statistically robust, and fast enough to be used in a real-time environment. Some basic concepts from robust statistics are introduced. The various estimation methods considered are reviewed, and the implementation of the selected estimator is described. Simulation results for several IEEE test systems are included. Other applications of the proposed technique, such as leverage point identification in large sparse systems, and robust meter placement are described.
Degree
thesis:*- Name thesis:degree_name
- Ph. D.
- Level thesis:degree_level
- doctoral
- Discipline thesis:degree_discipline
- Electrical Engineering
- Department dc:contributor.department
- Electrical Engineering
- Grantor dc:publisher
- Virginia Tech
- Year dc:date.issued
- 1991
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Phaniraj, Viruru
- Chair dc:contributor.committeechair
-
- Phadke, Arun G.
- Committee members dc:contributor.committeemember
-
- Mili, Lamine M.
- Rahman, Saifur
- Tam, Kwa Sur
- Birch, Jeffrey B.
Rights
dc:rights- Statement dc:rights
-
- In Copyright
- Licence dc:rights.uri
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Dc Identifier Other
- etd-10122005-134435
- OAI identifier oai:identifier
- oai:vtechworks.lib.vt.edu:10919/39776