Optimal Allocation of DGs and TCSC in Radial Networks Using Ant Lion Optimizer

This paper offers the Ant lion optimizer technique to estimate the optimal planning of thyristor controlled series compensation (TCSC) and distributed generations (DGs) in radial distribution grids based on reduction of the total active losses. The ALO is a nature inspired algorithm which concludes the behavior of the antlion and its preys. The proposed algorithm is validated using different standard distribution test systems IEEE-33-bus Simulated results of this technique has been compared to BSA, GA and other algorithms. Because of accuracy of calculations and high strategy of ALO technique, the numerical results demonstrate that the ALO is more sufficient to obtain the superior solutions with less power loss.