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Ibrahim, D. K., E. E. - D. A. El-Zahab, and M. Essam Mohamed, "Improving Distance Protection for Out-of-step Detection and Fault Detection during Power Swings", Proceedings of the 16th International Middle East Power Systems Conference, MEPCON, Ain Shams University, Egypt, 2014. Abstract


Ibrahim, D. K., A. F. Zobaa, E. A. El-Zahab, and G. M. Abo-Hamad, "Improving Mho and Quadrilateral Relays Performance during Power Swings", International Review of Electrical Engineering, IREE, vol. 5, issue 6: Praise Worthy Prize, FEDERICO II University 21 Claudio Naples I 80125 Italy, pp. 2919-2928, 2010. Abstract


Ibrahim, D. K., M. E. Rezk, and E. E. - D. A. El-Zahab, "Improving distance protection performance at zone1 using new adaptive tripping time scheme", IEEE International Energy Conference (ENERGYCON), Croatia, IEEE, pp. 528 - 535, 2014. Abstract


Omar, A. I., S. A. H. E. Aleem, E. E. A. El-Zahab, M. Algablawy, and Z. M. Ali, "An improved approach for robust control of dynamic voltage restorer and power quality enhancement using grasshopper optimization algorithm", ISA Transactions, vol. 95, issue Dec. 2019, pp. 110-129, 2019. Abstract

This paper presents a novel contribution of a low complexity control scheme for voltage control of a dynamic voltage restorer (DVR). The scheme proposed utilizes an error-driven proportional–integral–derivative (PID) controller to guarantee better power quality performance in terms of voltage enhancement and stabilization of the buses, energy efficient utilization, and harmonic distortion reduction in a distribution network. This method maintains the load voltage close to or equal to the nominal value in terms of various voltage disturbances such as balanced and unbalanced sag/swell, voltage imbalance, notching, different fault conditions as well as power system harmonic distortion. A grasshopper optimization algorithm (GOA) is used to tune the gain values of the PID controller. In order to validate the effectiveness of the proposed DVR controller, first, a fractional order PID controller was presented and compared with the proposed one. Further, a comparative performance evaluation of four optimization techniques, namely Cuckoo search (CSA), GOA, Flower pollination (FBA), and Grey wolf optimizer (GWO), is presented to compare between the PID and FOPID performance in terms of fault conditions in order to achieve a global minimum error and fast dynamic response of the proposed controller. Second, a comparative analysis of simulation results obtained using the proposed controller and those obtained using an active disturbance rejection controller (ADRC) is presented, and it was found that the performance of the optimal PID is better than the performance of the conventional ADRC. Finally, the effectiveness of the presented DVR with the controller proposed has been assessed by time-domain simulations in the MATLAB/Simulink platform.