NDLI: Real-time stability assessment in smart cyber-physical grids: a deep learning approach

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Real-time stability assessment in smart cyber-physical grids: a deep learning approach

Content Provider	IET Digital Library
Author	Darbandi, Farzad Jafari, Amirreza Karimipour, Hadis Dehghantanha, Ali Derakhshan, Farnaz Choo, Kim Kwang Raymond
Abstract	The increasing coupling between the physical and communication layers in the cyber-physical system (CPS) brings up new challenges in system monitoring and control. Smart power grids with the integration of information and communication technologies are one of the most important types of CPS. Proper monitoring and control of the smart grid are highly dependent on the transient stability assessment (TSA). Effective TSA can provide system operators with insightful information on stability statuses and causes under various contingencies and cyber-attacks. In this study, a real-time stability condition predictor based on a feedforward neural network is proposed. The conjugate gradient backpropagation algorithm and Fletcher–Reeves updates are used for training, and the Kohonen learning algorithm is utilised to improve the learning process. By real-time assessment of the network features based on the minimum redundancy maximum relevancy algorithm, the proposed method can successfully predict transient stability and out of step conditions for the network and generators, respectively. Simulation results on the IEEE 39-bus test system indicate the superiority of the proposed method in terms of accuracy, precision, false positive rate, and true positive rate.
Starting Page	454
Ending Page	461
Page Count	8
Volume Number	3
e-ISSN	25152947
Issue Number	Issue 4, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-stg/3/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2019.0191
Journal	IET Smart Grid
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-02-03
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Backpropagation Conjugate Gradient Backpropagation Algorithm Conjugate Gradient Method CPS Cyber Attack Cyber-physical System Deep Learning Approach Effective TSA Feedforward Neural Network Fletcher–Reeves Updates IEEE 39-bus Test System Information And Communication Technology Interpolation And Function Approximation Kohonen Learning Algorithm Minimum Redundancy Maximum Relevancy Algorithm Neural Computing Technique Numerical Analysis Physical Communication Layer Power Engineering Computing Power System Control Power System Security Power System Transient Stability Real-time Stability Assessment Real-time Stability Condition Predictor Self Organising Feature Maps Smart Cyber-physical Grid Smart Power Grid System Monitoring System Operators Transient Stability Assessment
Content Type	Text
Resource Type	Article

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