Ant Lion Optimizer Algorithm Based Profit Maximization of Electric Power Distribution Companies Considering Network Reconfigurations

Abstract

A simple and powerful methodology for determining the optimal placement as well as size of the combined DGs and Capacitor units with network reconfiguration in deregulated power system is presented in this paper. The prime objective of the work is to maximize the profit of DG owner, minimize the operational cost of DISCOs, improve the voltage profile and minimize network losses by proper location of DGs and capacitors with proper network reconfigurations. A recently developed; the best and successful meta-heuristic optimization algorithm of Ant Lion Optimizer (ALO) is projected to solve this problem. The AFO is applied to 69-node test systems to justify the ability of ALO. The simulations are carried out using MATLAB platform and results show the applicability of the ALO in the DISCOs. The simulation results are compared with similar approaches in literature in order to validate the efficiency of proposed approach.