LAV Based Robust State Estimation for Systems Measured by PMUs

Date

2014-07-01

Author

Göl, Murat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

163
views

0
downloads

The weighted least squares (WLS) estimator is commonly employed to solve the state estimation problem in today's power systems, which are primarily measured by SCADA measurements, including bus power injection, branch power flow and bus voltage magnitude measurements. Despite being widely used, WLS estimator remains to be non-robust, i.e., it fails in the presence of bad measurements. The so called least absolute value (LAV) estimator is more robust, but is not widely used due to its higher computational cost. LAV estimator has the desirable property of automatic bad-data rejection provided that the measurement set does not include any "leverage measurements."There will be two important advantages to using LAV estimator when systems are observed by phasor measurements: 1) if the measurement set consists of only phasors, the leveraging effect of measurements can be easily eliminated by strategic scaling; 2) computational performance of LAV estimator will become competitive with that of WLS due to the linearity of the estimation problem for phasor measurements. This paper demonstrates these advantages and argues that the LAV estimator will be a statistically robust and computationally competitive estimator for those power systems that will be measured entirely by PMUs.

Subject Keywords

General Computer Science

URI

https://hdl.handle.net/11511/42336

Journal

IEEE TRANSACTIONS ON SMART GRID

DOI

https://doi.org/10.1109/tsg.2014.2302213

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Operation assignment and capacity allocation problem in automated manufacturing systems Bilgin, Selin; Azizoğlu, Meral (Elsevier BV, 2009-03-01) We address an operation assignment and capacity allocation problem that arises in semiconductor industries and flexible manufacturing systems. We assume the automated machines have scarce time and tool magazine capacities and the tools are available in limited quantities. The aim is to select a subset of operations with maximum total weight. We show that the problem is NP-hard in the strong sense, develop two heuristics and a Tabu Search procedure. The results of our computational tests have revealed that o...
Parallel Scalable PDE Constrained Optimization Antenna Identification in Hyperthermia Cancer Treatment Planning SCHENK, Olaf; Manguoğlu, Murat; CHRİSTEN, Matthias; SATHE, Madan (Springer Science and Business Media LLC, 2009-01-01) We present a PDE-constrained optimization algorithm which is designed for parallel scalability on distributed-memory architectures with thousands of cores. The method is based on a line-search interior-point algorithm for large-scale continuous optimization, it is matrix-free in that it does not require the factorization of derivative matrices. Instead, it uses a new parallel and robust iterative linear solver on distributed-memory architectures. We will show almost linear parallel scalability results for t...
Fast cell determination of the DSMC molecules in multi-stage turbo molecular pump design Sengil, N.; Edis, Fırat Oğuz (Elsevier BV, 2011-06-01) In this study, an existing 2D parallel DSMC solver is modified, to analyze the multi-stage turbomolecular pumps more efficiently. Generally, molecule movements are traced cell-by-cell in DSMC solvers both in structured and unstructured meshes in order to determine which cell the DSMC molecule is positioned in. These calculations require time consuming trigonometric operations. If a nonrectangular physical domain can be converted into a rectangular computational domain using curvilinear coordinates, then it ...
A unifying grid approach for solving potential flows applicable to structured and unstructured grid configurations Cete, A. Ruhsen; Yuekselen, M. Adil; Kaynak, Uenver (Elsevier BV, 2008-01-01) In this study, an efficient numerical method is proposed for unifying the structured and unstructured grid approaches for solving the potential flows. The new method, named as the "alternating cell directions implicit - ACDI", solves for the structured and unstructured grid configurations equally well. The new method in effect applies a line implicit method similar to the Line Gauss Seidel scheme for complex unstructured grids including mixed type quadrilateral and triangle cells. To this end, designated al...
MHD flow and heat transfer in a lid-driven porous enclosure Pekmen, B.; Tezer, Münevver (Elsevier BV, 2014-01-20) The mixed convection flow in a lid-driven square cavity filled with a porous medium under the effect of a magnetic field is studied numerically using the dual reciprocity boundary element method (DRBEM) with Houbolt time integration scheme. Induced magnetic field is also taken into consideration in terms of magnetic potential in solving magnetohydrodynamic (MHD) flow and temperature equations. Effects of the characteristic dimensionless parameters as Darcy (Da), Magnetic Reynolds (Rem), Grashof (Gr) and Har...

Citation Formats

M. Göl, “LAV Based Robust State Estimation for Systems Measured by PMUs,” IEEE TRANSACTIONS ON SMART GRID, pp. 1808–1814, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42336.