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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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