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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al-Masri, A.N. Kadir, M.Z.A.A. Hizam, H. Mariun, N. Yusof, S. |
| Copyright Year | 2010 |
| Description | Author affiliation: Advanced Power Solutions Sdn. Bhd, 40675, Selangor, Malaysia (Yusof, S.) || Dept. of Electrical & Electronics Engineering, Universiti Putra Malaysia, 43400, Selangor, Malaysia (Al-Masri, A.N.; Kadir, M.Z.A.A.; Hizam, H.; Mariun, N.) |
| Abstract | In this paper, the application of an Artificial Neural Network (ANN) for remedial action of a power system is presented. The aims of this study are to find the significant control action that alleviates a bus voltage violation of a power system and to demonstrate the ability of a neural network in terms of evaluating the generation re-dispatch and load shedding amounts. The remedial action is based on a steady-state security assessment of the power system. The proposed algorithm has been successfully tested on a 9-bus test system. The results are compared with other conventional methods and it reveals that an ANN can provide the required amount of generation re-dispatch and load shedding accurately and instantaneously compared to other methods. On average, remedial actions were shown to have a positive effect for reducing the number of bus voltage violations and improving system security. |
| Starting Page | 706 |
| Ending Page | 711 |
| File Size | 406917 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424489473 |
| e-ISBN | 9781424489466 |
| DOI | 10.1109/PECON.2010.5697671 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-29 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Artificial neural networks Generators Training Power systems Security Mathematical model Load modeling Contingency analysis Steady-State Security Assessment Artificial Neural Network Back-propagation remedial control action |
| Content Type | Text |
| Resource Type | Article |
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