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Abstract

To prevent interference and damage to equipment in the electric power system, the role of a protection system is needed. An unreliable protection system has the impact of economic losses, this is the basis for engineers to conduct research on the optimization of protection coordination in the electric power system. This study aims to ensure that the protection system can run properly in the event of a short circuit fault in the system. In addition, this research is to facilitate engineers in the calculation of the Directional Overcurrent Relay (DOCR) coordination study. In contrast to previous studies, this research implements a hybrid algorithm method on a real electrical system by considering the generator operating scheme. Due to the generator operating conditions that are always changing, it affect DOCR working time. To overcome these problems, it is necessary to set an optimal DOCR using the meta-heuristic method. This is the basis for researchers to conduct research on optimization of protection coordination settings. Each meta-heuristic method such as Differential Evolution Algorithm and Particle Swarm Optimization has its own advantages and disadvantages in the process of searching the optimization. Therefore, this research implements a hybrid strategy of Differential Evolution Algorithm – Particle Swarm Optimization (DE-PSO) to get the DOCR Time Dial Setting (TDS) value. From the results of the study, it can be concluded that using a hybrid algorithm is 83% more efficient than the non-hybrid method.
Keywords: Directional Overcurrent Relay, Differential Evolution Algorithm, Particle Swarm Optimization

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