Mediterranean Journal of Modeling and Simulation
Auteurs : Zellagui Mohamed .
The paper presents a new hybrid global optimization algorithm based on Chemical Reaction based Optimization (CRO) and Differential evolution (DE) algorithm for nonlinear constrained optimization problems. This ap- proach proposed for the optimal coordination and setting relays of direc- tional overcurrent relays in complex power systems. In protection coordi- nation problem, the ob jective function to be minimized is the sum of the operating time of all main relays. The optimization problem is sub ject to a number of constraints which are mainly focused on the operation of the backup relay, which should operate if a primary relay fails to respond to the fault near to it, Time Dial Setting (TDS), Plug Setting (PS) and the minimum operating time of a relay. The hybrid global proposed optimiza- tion algorithm aims to minimize the total operating time of each protection relay. Two systems are used as case study to check the efficiency of the optimization algorithm which are IEEE 4-bus and IEEE 6-bus models. Results are obtained and presented for CRO and DE and hybrid CRO-DE algorithms. The obtained results for the studied cases are compared with those results obtained when using other optimization algorithms which are Teaching Learning-Based Optimization (TLBO), Chaotic Differential Evolution Algorithm (CDEA) and Modified Differential Evolution Algo- rithm (MDEA), and Hybrid optimization algorithms (PSO-DE, IA-PSO, and BFOA-PSO). From analysing the obtained results, it has been conclu- ded that hybrid CRO-DO algorithm provides the most optimum solution with the best convergence rate.
Complex power systems ; Directional overcurrent relays ; Optimal Coordination ; Chemical reaction based optimiza- tion ; Differential evolution algorithm ; Hybrid global optimization algo- rithm