dc.contributor.authorXia, Nan
dc.contributor.authorGooi, Hoay Beng
dc.contributor.authorChen, S. X.
dc.contributor.authorWang, M. Q.
dc.identifier.citationXia, N., Gooi, H. B., Chen, S. X., & Wang, M. Q. (2015). Redundancy based PMU placement in state estimation. Sustainable Energy, Grids and Networks, 2, 23-31.en_US
dc.description.abstractAn alternative method to obtain a PMU placement with maximum measurement redundancy is proposed in this paper. By considering the number of branches adjacent to each bus, the proposed method can be formulated in a linear and compact way. The effectiveness of the proposed method is shown by comparing its results with those of the existing methods (Two-step Method and Quadratic Programming Method) under the IEEE 14-, 30-, 57- and 118-bus test systems. Different scenarios, such as normal condition, contingencies and consideration of zero-injection buses, are also discussed. Moreover, a post-processing optimization is presented to improve the redundancy distribution. After the optimization, the number of red-1 buses, i.e. buses which are made observable one time only by the measurements, is reduced. In this way the redundancy becomes more evenly distributed and the state estimation is more robust. The short execution time of the post-processing optimization and its effectiveness are verified by using various IEEE test systems.en_US
dc.format.extent17 p.en_US
dc.relation.ispartofseriesSustainable energy, grids and networksen_US
dc.rights© 2015 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Sustainable Energy, Grids and Networks, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.segan.2015.03.002].en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
dc.titleRedundancy based PMU placement in state estimationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted versionen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record