Abdelaziz Chaghi

Work place: LSP-IE, Department of Electrical Engineering, University of Batna, Algeria

E-mail: az_chaghi@univ-batna.dz

Website:

Research Interests: Neural Networks, Computer Networks, Network Architecture

Biography

Prof. Abdelaziz Chaghi was born in Batna, Algeria, 1954. He received his engineer degree from the University of Oran, Algeria, in 1980, and M.Sc. from the Manchester University, UK, in 1984, and received his PhD from Batna University, Algeria 2004. He is currently a Professor at department of electrical engineering at University of Batna, Algeria. He is also the responsible of the research team at LSP-IE research laboratory, University of Batna. Pr. Chaghi has published more than 50 papers in reputable international journals and conferences. Pr. Chaghi research interests include power systems optimization, power system protection, renewable energy, harmonic and power quality, voltage stability, and FACTS devices.

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: https://doi.org/10.5815/ijisa.2015.02.02, 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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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: https://doi.org/10.5815/ijisa.2014.02.06, 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: https://doi.org/10.5815/ijisa.2013.06.02, 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: https://doi.org/10.5815/ijisa.2012.12.10, 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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