Investigation of Capacitor Placement in Variable Loads To Reduce the Power Loss of Distribution Systems Using Mixed–Integer Linear Programming Algorithm and Re–Gradation of Loads

Abstract: capacitor placement at substations is one of the effective methods for loss reduction and efficiencyincreasing of power systems. in this paper, a novel method for capacitor placement on the secondary side of the distribution transformers is carried out. the mathematical method of mixed–integer linear programming (milp) algorithm is used for paper goal to increase the net present value (npv), resulting from the loss reduction. due to the variability of the loads, a special template is used for loads modelling. not only theconstant loads, but also three types of industrial, residential and commercial loads are assessed with theproposed method. then, the results are discussed in order to re–grade loads. also, the proposed method iscompared with two methods of particle swarm optimization (pso) algorithm and teaching–learning based optimization (tlbo) algorithm. all of the tests are simulated with matlab software and total time ofproblem is considered as ten years. index terms: distribution systems, capacitor placement, variable loads, mixed–integer linear programming (milp) algorithm, loss reduction, net present value (npv).