Mohamed Zellagui

Work place: Department of Electrical Engineering, Faculty of Technology, University of Batna 2, Algeria



Research Interests: Neural Networks, Computer Networks, Network Architecture


Mohamed Zellagui (IEEE Senior Member) was born in Constantine, Algeria in 1984. He received his engineering degree (Honors with first-class) and M.Sc. degree in Electrical Power Engineering from the University of Constantine 1, Algeria in 2007 and 2010, respectively. He received a Doctor Degree in Power Systems from the University of Batna 2, Algeria in 2014. From 2008 to 2013, he worked as a professional engineer in the field of power system protection and relaying in the Algerian Company of Electricity Distribution. He is currently an Associate Professor at the Faculty of Technology, University of Batna 2, Algeria. He was visiting research with various universities in France, Malaysia, Italy, and Canada. He collaborates with many universities and laboratories. Has authored or co-authored more than 50 refereed journal and conference papers, five book chapters, and three edited books. He is a senior member of Institute of Electrical and Electronics Engineers (IEEE), and member of Conseil International des Grands Réseaux Electriques (CIGRE). Editor board member and a reviewer of many international journals and conferences. His research interests include power systems protection, renewable energy integration, energy efficiency, optimization algorithm, distribution systems, and smart grids.

Author Articles
Application of Firefly Algorithm for Optimal Directional Overcurrent Relays Coordination in the Presence of IFCL

By Rabah Benabid Mohamed Zellagui Abdelaziz Chaghi Mohamed Boudour

DOI:, Pub. Date: 8 Jan. 2014

This paper considers the impact of the Inductive Fault Current Limiter (IFCL) on directional overcurrent relays coordination. The coordination problem is formulated as a non-linear constrained mono-objective optimization problem. The objective function of this optimization problem is the minimization of the operation time of the associated relays in the systems, and the decision variables are: the time dial setting (TDS) and the pickup current setting (IP) of each relay. To solve this complex non linear optimization problem, a variant of optimization algorithms named Firefly Algorithm (FA) is used. The proposed method is tested on 8-bus power transmission systems test systems considering the influences of current relay under three-phases short-circuit with and without IFCL for different locality. The results show the effectiveness of the solution.

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Impact of TCSC on Distance Protection Setting based Modified Particle Swarm Optimization Techniques

By Mohamed Zellagui Abdelaziz Chaghi

DOI:, Pub. Date: 8 May 2013

This paper presents the application of the Modified Particle Swarm Optimization (MPSO) technique for optimal settings zones for MHO distance relay protect 400 kV single transmission line of Eastern Algerian transmission networks at Algerian Company of Electrical and Gas (Group Sonelgaz) compensated by series Flexible Alternative current Transmission System (FACTS) i.e. Thyristor Controlled Series Capacitor (TCSC) connected at midpoint. The effects of TCSC insertion on the total impedance of a protected transmission line with respect to injected variable reactance value (X_(TCSC)) in capacitive and inductive boost mode depending of the firing angle (α) is considered. The modified setting zone protection for three zones (Z_(1), Z_(2) and Z_(3)) is have been investigate in order to prevent circuit breaker nuisance tripping and improve the performances of distance relay protection. In this work our aim is to compare the performance of the proposed MPSO algorithm with an analytical method (AM). The findings demonstrate the outstanding performance of the proposed MPSO in terms of computation speed, rate of convergence, and feasibility. The simulation results are compared with each other, and then the more perfect algorithm is considered.

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Distance Protection Settings Based Artificial Neural Network in Presence of TCSR on Electrical Transmission Line

By Mohamed Zellagui Abdelaziz Chaghi

DOI:, Pub. Date: 8 Nov. 2012

This research paper study the performance of distance relays setting based analytic (AM) and artificial neural network (ANN) method for a 400 kV high voltage transmission line in Eastern Algerian transmission networks at Sonelgaz Group compensated by series Flexible AC Transmission System (FACTS) i.e. Thyristor Controlled Series Reactor (TCSR) connected at midpoint of the electrical transmission line. The facts are used for controlling transmission voltage, power flow, reactive power, and damping of power system oscillations in high power transfer levels. This paper studies the effects of TCSR insertion on the total impedance of a transmission line protected by distance relay and the modified setting zone protection in capacitive and inductive boost mode for three zones. Two different techniques have been investigated in order to prevent circuit breaker nuisance tripping to improve the performances of the distance relay protection.

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