Mehdi Mirzaei - PhD, Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran&Department of Electrical Engineering, Horand Center, Technical and Vocational Training Organization, EastAzerbaijan, Horand, Iran
Shaker Farzizadeh - Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran
Mehdi Eskandari - Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran
Hossein Safari - Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran
Amirhossein Asadnazhad - Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran
Aboutaleb Ahmadi - Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran
Arash Rahimi - Department of Electrical Engineering, Khodaafarin Branch, Islamic Azad University, Khodaafarin, Iran

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.

Annual cost, SAHMPSO/BFA algorithm, optimal capacitor allocation, Radial distribution networks.