Optimal Placement of D-STATCOM Using Hybrid Genetic and Ant Colony Algorithm to Losses Reduction

Askar Bagherinasab (Universiti Teknologi Malaysia)
Mahmoud Zadehbagheri (Universiti Teknologi Malaysia)
Saifulnizam Abdul Khalid (Universiti Teknologi Malaysia)
Majid Gandomkar (Universiti Teknologi Malaysia)
Naziha Ahmad Azli (Universiti Teknologi Malaysia)

International Journal of Applied Power Engineering (IJAPE)
Vol 2, No 2: August 2013

In this work, a modern algorithm by hybrid genetic algorithm and ant colony algorithm is designed to placement and then simulated to determine the amount of reactive power by D-STATCOM. Also this method will be able to minimize the power system losses that contain power loss in transmission lines. Furthermore, in this design a IEEE 30-bus model depicted and three D-STATCOM are located in this system according to Economic Considerations. The optimal placement of each D-STATCOM is computed by the ant colony algorithm. In order to optimize placement for each D-STATCOM, two groups of ant are selected, which respectively located in near nest and far from the nest. Moreover, for every output simulation of D-STATCOM that is used to produce or absorb of reactive power, a genetic algorithm to minimizing the total network losses is applied. Finally, the result of this simulation shows net losses reduction about 150% that it verifies the new algorithm performance.