Optimal Placement of Power Switches on Malayer Practical Feeder to Improve System Reliability Using Hybrid Particle Swarm Optimization with Sinusoidal and Cosine Acceleration Coefficients

Power switches are among the equipment that can help improve the distribution system condition and reduce the cost of failure at times of error. Finding the optimal location and number of these switches in the distribution system can be modeled with a variety of objective functions as a nonlinear optimization problem to improve reliability, reduce energy not supplied and other system costs. In this paper, a Hybrid Particle Swarm Optimization with Sinusoidal and Cosine Acceleration Coefficients (H-PSO-SCAC) is used to solve the problem of optimal placement of switches with the goal of reducing the cost of switches installation and outage simultaneously in a software format for the use of Malayer Distribution Company operators and other sections. The simulation results have been tested using the corresponding algorithm on the Malayer 108-bus distribution feeder and IEEE 118-bus sampling network and compared with the results of other methods. The results show that the algorithm (H-PSO-SCAC) is better than other algorithms in terms of response quality and computational efficiency, also its implementation in a user friendly software has made it easy for operators and Users to use.