An Optimized Adaptive Overcurrent Relay Protection in Distribution System Using Choas Based Satin Bowerbird Optimization Algorithm

The increased availability of distributed system protections plays a significant role in maintaining the continuity of electrical power supply. The optimization procedure for a distributed system consists of coordinating with overcurrent relay protection using an adaptive overcurrent relay model. Here, the system protection is an important factor since the protection methods play a vital role in distributed systems. The conventional methods have discussed about the power system to reduce the fault current tolerance value by using various optimization algorithms like Antlion and Butterfly optimization techniques. The distributed three-phase system uses the IEEE bus network with adaptive overcurrent relay model, which produces the best output when compared to the conventional method. Here, the particle swarm optimization (C-SBO) procedure is used to improve the relay setting and it reduces the fault current across the relay. The improved swarm optimization algorithm is inspired by the computational optimization of chaos-based satin bowerbird algorithm. The use of overcurrent relay is to detect the fault current by means of short circuit and overload because it disconnects the circuit breaker unit. The simulation process proves that the improvement in protection by adaptive overcurrent delay model in a distributed power system. The distributed power system is designed with SIMULINK model for synthesis and optimization results, which are analyzed by MATLAB for simulation. The overall objective of this proposed system is to reduce the fault current across the relay since it protects the distributed generation system by adding the improved optimization technique.