No abstract

The present <span lang="EN-US">study is focussed on a comparative analysis of different meta-heuristic optimization approaches for directional overcurrent relay (DOCRs) coordination which has been discussed and presented in the literature. Further, to have a comparative analysis of the performance of the optimization methods discussed they have been tested on power system network of different sizes. To overcome such issues, this work proposed a simplex linear programming technique-based overcurrent relay method using general algebraic modelling system (GAMS). The execution of this work is done on the MATLAB 2018 a platform. Based on the obtained result the best meta-heuristic optimization method for mitigating the problem of relay coordination has been identified. Nevertheless, the operating time of the relay is high, so the fault is not corrected at a time. The developed model has been tested on test system of different sizes namely IEEE 9 bus and IEEE 14 bus system. The obtained values through series of simulation are compared with different methods for proving the proposed protection coordination scheme is more effective and efficient than others in terms of operating time and coordination time.</span>

The present study is focussed on solving the relay coordination problem. Protection of microgrid is performed through placement of Directional Overcurrent Relays (DOCR). The efficacy of microgrid protection depends on coordination of all the DOCRs placed in the system. For this purpose a number of optimization technique have been employed by the power system researcher. In this paper Grey Wolf Optimizer (GWO) is proposed for the protection coordination of DOCRs for different modes of microgrid operation. The proposed method is tested and validated on 7 bus mesh system and 9 bus radial test system. The proposed method has been compared with other meta-heuristic optimization approaches namely Genetic Algorithm(GA), Artificial Bee Colony(ABC), Gravitational Search Algorithm(GSA), Hybrid Particle Swarm Optimization Gravitational Search Algorithm(PSOGSA). Based on the obtained results the GWO based approach is very efficient in mitigating the problem of relay coordination as compared to other optimization techniques.&#xD;