Optimal Placement of Remote Control Switches in Radial Distribution Network for Reliability Improvement using Particle Swarm Optimization with Sine Cosine Acceleration Coefficients

One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm algorithm with sinusoidal and cosine coefficients (H-PSO-SCAC) is presented to solve the RCS locating problem in the distribution system. The simulation results were tested using H-PSO-SCAC algorithm on sample network 69 bus and with particle swarm optimization (PSO), differential search algorithm (DS), Differential evolutionary algorithm (DE), genetic algorithm (GA), ant colony optimization (ACO) and gravitational search algorithm (GSA) have been compared. The results show that the H-PSO-SCAC algorithm is better in terms of response quality and computational efficiency.