Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87215
Title: Optimum placement of phasor measurement units in power systems
Authors: Sun, Lu
Chen, Tengpeng
Chen, Xuebing
Ho, Weng Khuen
Ling, Keck-Voon
Tseng, King-Jet
Amaratunga, Gehan A. J.
Keywords: Smart Grid
Phasor Measurement Unit
Issue Date: 2018
Source: Sun, L., Chen, T., Chen, X., Ho, W. K., Ling, K. V., Tseng, K. J., et al. (2018). Optimum Placement of Phasor Measurement Units in Power Systems. IEEE Transactions on Instrumentation and Measurement, In press.
Series/Report no.: IEEE Transactions on Instrumentation and Measurement
Abstract: In this paper, we proposed to evaluate the optimal phasor measurement unit (PMU) placement based on the sum of variance (SV) of the robust estimators. Variance is traditionally used as a measure of the quality of estimates. In this paper, after satisfying the requirements of the minimum number of PMUs, maximum measurement redundancy, and observability, the placements obtained are further distinguished on the basis of the variance of the estimated states. Both the weighted least squares (WLS) and robust estimators are considered. Examples on the IEEE 30-bus system using least absolute value (LAV) estimation are given. The covariance of the state estimates from the WLS can be calculated using the existing formulas. However, there is no equivalent formula for the robust LAV estimator. A formula is derived in this paper using influence function to approximately calculate the covariance matrix of the state estimates from the robust LAV estimator. The optimum placement, i.e., the placement with the smallest SV, can be selected.
URI: https://hdl.handle.net/10356/87215
http://hdl.handle.net/10220/45242
ISSN: 0018-9456
DOI: 10.1109/TIM.2018.2851838
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TIM.2018.2851838].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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