Using A New Hybrid Method Optimized With Particle Swarm Algorithm And Bacterial Exploration And Multiplication Algorithm To Optimize The Location And Amount Of Shunt Capacitors

In this paper, Self-Adaptive Hybrid Modified Particle Swarm optimization SAHMPSO with time varying acceleration coefficients and Bacteria Foraging Algorithm BFA method is introduced to solve Optimal Location and Size of Capacitor OLSC problem in radial distribution networks. To arrive to SAHMPSO/BFA method, two developments have been employed on control parameters of mutation and crossover operators. To expand this study, three load conditions have been considered, i.e., constant, varying and effective loads. Objective function is introduced for the load conditions. The annual cost is objective function of OLSC problem, in addition to this cost, CPU time, voltage profile, active power loss and total installed capacitor banks and their related costs have been used for performance indexes. To confirm the ability of each Improvements of SAHMPSO/BFA algorithm, the improvements are studied both in separate and simultaneous conditions. To verify the effectiveness of the proposed method, it is tested on IEEE ۱۰ bus and ۳۴ bus radial distribution networks and compared with other approaches.