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https://ptsldigital.ukm.my/jspui/handle/123456789/578380| Title: | The control chart technique for the detection of the problem of bad data in state estimation power system |
| Authors: | Zahid Khan (UTP) Radzuan B. Razali (UTP) Hanita Daud (UTP) Nursyarizal Mohd Nor (UTP) Mahmud Fotuhi-Firuzabad (UTP) |
| Keywords: | Nonlinear estimation Weighted least squares method Bad data Chi-square test Normalised residual test Gauss-Newton algorithm |
| Issue Date: | Jul-2017 |
| Description: | State estimation plays a vital role in the security analysis of a power system. The weighted least squares method is one of the conventional techniques used to estimate the unknown state vector of the power system. The existence of bad data can distort the reliability of the estimated state vector. A new algorithm based on the technique of quality control charts is developed in this paper for detection of bad data. The IEEE 6-bus power system data are utilised for the implementation of the proposed algorithm. The output of the study shows that this method is practically applicable for the separation of bad data in the problem of power system state estimation. |
| News Source: | Pertanika Journals |
| ISSN: | 0128-7680 |
| Volume: | 25 |
| Pages: | 825-834 |
| Publisher: | Universiti Putra Malaysia Press |
| Appears in Collections: | Journal Content Pages/ Kandungan Halaman Jurnal |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_115882+Source01+Source010.PDF | 299.15 kB | Adobe PDF |  View/Open |
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