Mohamed Zellagui

Work place: University of Batna 2, Batna, 05078, 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
Optimal Overcurrent Relays Coordination in the Presence Multi TCSC on Power Systems Using BBO Algorithm

By Mohamed Zellagui Rabah Benabid Mohamed Boudour Abdelaziz Chaghi

DOI:, Pub. Date: 8 Jan. 2015

Optimal coordination of Inverse Definite Minimum Time (IDMT) direction overcurrent relays in the power systems in the presence of multiple Thyristor Controller Series Capacitor (TCSC) on inductive and capacitive operation mode on meshed power system is studied in this paper. 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 (T) 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 evolutionary optimization techniques named Biogeography Based Optimization (BBO) is used. The proposed algorithm is validated on IEEE 14-bus transmission network test system considering various scenarios. The obtained results show a high efficiency of the proposed method to solve such complex optimization problem, in such a way the relays coordination is guaranteed for all simulation scenarios with minimum operating time. The results of new relay setting are compared to other optimization algorithms.

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