Publication: Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
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Date
2019
Authors
Al-Masri A.N.
Ab Kadir M.Z.A.
Al-Ogaili A.S.
Hoon Y.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
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