Article detail · 2014
LAV Based Robust State Estimation for Systems Measured by PMUs
- Year
- 2014
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue IEEE Transactions on Smart Grid
- Catalog match (ISSN) IEEE Transactions on Smart Grid
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
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.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
237 citations
OpenAlex cited_by_count (cache / database)
12 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- A Hybrid State Estimator For Systems With Limited Number of PMUs 2015
- State Estimation Based Determination of Harmonic Current Contributions of Iron and Steel Plants Supplied from PCC 2016
- State Estimation Based Determination of Harmonic Current Contributions of Iron and Steel Plants Supplied from PCC 2016
- Optimal PMU placement for state estimation robustness 2014
- A Decentralization Method for Hybrid State Estimators 2018
- A partitioning strategy for improved state estimation performance in ill-conditioned power systems with hybrid measurement set 2021
- A partitioning strategy for improved state estimation performance in ill-conditioned power systems with hybrid measurement set 2021
- State estimation based determination of harmonic current contributions of iron and steel plants supplied from PCC 2015
- Determination of harmonic current contributions of plants supplied from PCC based on state estimation 2015
- False Data Injection Attacks on CSA-Based State Estimation in Smart Grid 2022