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A. Belfqih
National superior School of Electricity and Mechanics
Computer Science & IT Electrical & Electronics Engineering

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Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes M.N. Dazahra; F. Elmariami; A. Belfqih; J. Boukherouaa
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.657 KB) | DOI: 10.11591/ijece.v6i6.pp2581-2588

Abstract

Flexible AC transmission system are widley used in power sytems to ensure voltage stability, in virtue of their high cost the choise of the best location in electrical network is essential. The porpose of this paper is to present a new method for finding the optimal location, size and number of Static Var Compensator in order to enhace the voltage stability of electrical network. The optimal solution has been found by using the evolutionary programming algorithm, particle swarm optimization, combined with voltage stability indexes used for the estimation of the voltage collapse in power systems.The proposed algorithm has been validated by application on both simulation network model IEEE 30-Buses under different load cases and the electric network model of Casablanca region in Morocco.The results of the application have been analysed and compared in each case in order to get the optimal number of Static Var Compensator to be used.
A Defense-in-depth Cybersecurity for Smart Substations M. N. Dazahra; F. Elmariami; A. Belfqih; J. Boukherouaa
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.818 KB) | DOI: 10.11591/ijece.v8i6.pp4423-4431

Abstract

The increase of cyber-attacks on industrial and power systems in the recent years make the cybersecurity of supervisory control and data acquisition and substation automation systemsa high important engineering issue. This paper proposes a defense in depth cybersecurity solution for smart substations in different layers of the substation automation system. In fact, it presents possible vulnerabilities in the substation automation system and propose a multiple layer solution based on best practice in cyber security such as the hardening ofdevices, whitelisting, network configuration, network segmentation, role-based account management and cyber security management and deployement.
Co-Authors F. Elmariami J. Boukherouaa M. N. Dazahra M.N. Dazahra