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Tai Nguyen So - Vietnam National University, Ha Noi - VNU >
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Please use this identifier to cite or link to this item:
http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12639
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| Title: | Hopfield network and parallel genetic algorithm for solving state estimate in power systems |
| Authors: | Khoa T.Q.D. Binh P.T.T. Khoa T.V. |
| Keywords: | Genetic algorithms Neural network State estimation |
| Issue Date: | 2004 |
| Publisher: | 2004 International Conference on Power System Technology, POWERCON 2004 |
| Citation: | Volume 1, Issue , Page 845-849 |
| Abstract: | In power systems, the state estimation computation takes an important role in security controls and the weighted least squares (WLS) method has been widely used at present This paper presents the artificial neural network for static state estimation. Hopfield neural network (HNN) and Parallel Genetic Algorithms (PGA) are employed to solve static state estimation on the 5 bus system. © 2004 IEEE. |
| URI: | http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12639 |
| ISSN: | |
| Appears in Collections: | Articles of Universities of Vietnam from Scopus
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