Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
Backpropagation; Deregulation; Electric load dispatching; Electric load shedding; Electric power system economics; Electric power system security; Electric power transmission networks; Neural networks; Adaptive artificial neural networks; Contingency analysis; Economic considerations; Generation re-...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-248962023-05-29T15:28:27Z Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids Al-Masri A.N. Ab Kadir M.Z.A. Al-Ogaili A.S. Hoon Y. 36068833700 25947297000 57189511897 56102883500 Backpropagation; Deregulation; Electric load dispatching; Electric load shedding; Electric power system economics; Electric power system security; Electric power transmission networks; Neural networks; Adaptive artificial neural networks; Contingency analysis; Economic considerations; Generation re-dispatch; Power system operators; Remedial actions; Security assessment; Security enhancements; Network security The mission of the power system operator has become more complicated than before due to increasing load demand, which causes power systems to operate near their security limits. The deregulation of electricity markets, which requires independent system operation driven by economic considerations, is still an essential requirement of modern power systems. This study presents an enhanced model of developed adaptive artificial neural network (AANN) technique for security enhancement of Malaysian power grids, inclusive of a remedial action (generation redispatch/load shedding) at any scale of system operation. Automatic data knowledge generation systems for AANN inputs and data selection and extraction methods are developed. Results show that the proposed AANN can provide the required amount of generation redispatch and load shedding accurately and promptly for computing large sample data. � 2013 IEEE. Final 2023-05-29T07:28:26Z 2023-05-29T07:28:26Z 2019 Article 10.1109/ACCESS.2019.2957884 2-s2.0-85077193340 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077193340&doi=10.1109%2fACCESS.2019.2957884&partnerID=40&md5=0605275ad896085250221816fa53fca9 https://irepository.uniten.edu.my/handle/123456789/24896 7 8924713 180093 180105 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Malaysia |
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Universiti Tenaga Nasional |
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http://dspace.uniten.edu.my/ |
| description |
Backpropagation; Deregulation; Electric load dispatching; Electric load shedding; Electric power system economics; Electric power system security; Electric power transmission networks; Neural networks; Adaptive artificial neural networks; Contingency analysis; Economic considerations; Generation re-dispatch; Power system operators; Remedial actions; Security assessment; Security enhancements; Network security |
| author2 |
36068833700 |
| author_facet |
36068833700 Al-Masri A.N. Ab Kadir M.Z.A. Al-Ogaili A.S. Hoon Y. |
| format |
Article |
| author |
Al-Masri A.N. Ab Kadir M.Z.A. Al-Ogaili A.S. Hoon Y. |
| spellingShingle |
Al-Masri A.N. Ab Kadir M.Z.A. Al-Ogaili A.S. Hoon Y. Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids |
| author_sort |
Al-Masri A.N. |
| title |
Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids |
| title_short |
Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids |
| title_full |
Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids |
| title_fullStr |
Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids |
| title_full_unstemmed |
Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids |
| title_sort |
development of adaptive artificial neural network security assessment schema for malaysian power grids |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427438978170880 |
| score |
13.222552 |